DOCSLIB.ORG

Programming Chirp Parameters in TI Radar Devices (Rev. A)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Programming Chirp Parameters in TI Radar Devices (Rev. A) Application Report SWRA553A–May 2017–Revised February 2020 Programming Chirp Parameters in TI Radar Devices Vivek Dham ABSTRACT This application report provides information on how to select the right chirp parameters in a fast FMCW Radar device based on the end application and use case, and program them optimally on TI’s radar devices. Contents 1 Introduction ................................................................................................................... 2 2 Impact of Chirp Configuration on System Parameters.................................................................. 2 3 Chirp Configurations for Common Applications.......................................................................... 7 4 Configurable Chirp RAM and Chirp Profiles.............................................................................. 7 5 Chirp Timing Parameters ................................................................................................... 8 6 Advanced Chirp Configurations .......................................................................................... 11 7 Basic Chirp Configuration Programming Sequence ................................................................... 12 8 References .................................................................................................................. 14 List of Figures 1 Typical FMCW Chirp ........................................................................................................ 2 2 Typical Frame Structure .................................................................................................... 2 3 Angle Estimation Basics .................................................................................................... 5 4 Example Antenna Gain Pattern............................................................................................ 5 5 Effective Recevier Channels in MIMO Radar ............................................................................ 6 6 Chirp and Profile RAM Memory Allocation ............................................................................... 8 7 Example Usage of the Ramp Timing Calculator ....................................................................... 10 8 Sub Frame Structure Showing Three Bursts Looped Twice (start index having an offset of 2) ................. 11 9 Example of Advanced Frame Configuration of Two Sub Frames ................................................... 12 10 Radar Configuration Sequence........................................................................................... 12 List of Tables 1 Example Chirp Configurations for Typical Applications................................................................. 7 2 Chirp Timing Parameters ................................................................................................... 8 3 Typical Synthesizer Ramp Down Times for Different Modulation Bandwidths ...................................... 9 4 Typical IF/DFE Filtering Latencies as a Function of DFE Mode and Output Sampling Rate .................... 10 SWRA553A–May 2017–Revised February 2020 Programming Chirp Parameters in TI Radar Devices 1 Submit Documentation Feedback Copyright © 2017–2020, Texas Instruments Incorporated Introduction www.ti.com Trademarks All trademarks are the property of their respective owners. 1 Introduction Frequency Modulated Continuous Wave (FMCW) mmWave radar sensors are becoming increasingly popular for multiple automotive and industrial applications. The system requirements and care-abouts in each of these applications could be very different. Range requirement, range resolution, max velocity requirement, sensor field of view, data memory, processor MIPS, and so forth are some of the aspects that need to be analyzed based on the end application. Understanding the relationships between the FMCW chirp configuration and system performance parameters helps in selecting the right chirp configurations. TI’s mmwave radar devices (MMIC) provide large flexibility in configuring chirp parameters and also allow multiple chirp configurations in a single frame. The timing parameters are accurately controlled by the digital timing engine and a built-in radio processor without heavy real-time software interference. This document describes the programming of chirp parameters and explains the various system considerations that determine the values for these parameters. 2 Impact of Chirp Configuration on System Parameters In linear FMCW radars, the transmit (TX) signal is a single tone with its frequency changing linearly with time. This sweep in frequency is commonly referred to as a “chirp”. A set of these chirps form a “Frame” and this can be used as the observation window for the radar processing. The various parameters of the chirp ramp (like frequency slope, sweep bandwidth, and so forth) impact the system performance. Figure 1 depicts a single chirp and the associated timing parameters. Figure 2 shows frame structure that consists of a series of chirps followed by inter frame time. This represents ‘Fast FMCW’ modulation, where each chirp is typically 10’s of µs in duration. Figure 1. Typical FMCW Chirp Figure 2. Typical Frame Structure 2 Programming Chirp Parameters in TI Radar Devices SWRA553A–May 2017–Revised February 2020 Submit Documentation Feedback Copyright © 2017–2020, Texas Instruments Incorporated www.ti.com Impact of Chirp Configuration on System Parameters The following sections list key system performance parameters that are typically considered in any radar application and how the chirp configuration impacts each one of them. 2.1 Measurement Range and Range Resolution The maximum and minimum distance over which a radar sensor can detect objects is an important parameter for a radar sensor. Also, the range resolution (ability to distinguish two nearby objects) is another important metric. 2.1.1 Maximum Range In applications like automotive adaptive cruise control (ACC), it’s important to be able to view a far off object (>150m). Detecting a far-off object can be limited by either the SNR of the received signal or the IF bandwidth supported by the Radar device. The max range relationship with the IF bandwidth is shown in Equation 1. TI’s AWR2243 radar device provides a large 20-MHz bandwidth, and AWR1243 provides 15-MHz bandwidth, allowing more flexibility in the slope that can be used, which indirectly helps increase the max velocity as will be seen later. IFmax u c Rangemax 2Su (1) IFmax → Maximum IF bandwidth supported c → Speed of light S → Slope of the transmitted chirp Note that the IFmax is also dependent on the ADC sampling frequency (ADCsampling) used. In a complex 1x sampling mode, the IF bandwidth is limited to 0.9* (ADCsampling). In case of complex 2x and real sampling modes, the IF bandwidth is limited to 0.9* (ADCsampling)/2 . The maximum ADC sampling frequency in the TI’s radar devices is 45 MHz (AWR22xx) and 37.5 MHz (AWR1xxx). The other aspect that could limit the max range is the signal to noise ratio (SNR) of signal received by the receiver. This depends on: • RF performance of the Radar device, like TX output power, RX noise figure, as well as chirp parameters like chirp duration and number of chirps in the frame. • Antenna parameters like the TX and RX antenna gain in the direction of interest. • Object characteristics like Radar Cross Section (RCS). RCS is a measure of the amount of energy the object reflects back. This decides how detectable the object is with a radar sensor. • Minimum SNR required by the detection algorithm to detect an object. PtG G c2s NT Range based on SNR 4 Rx Tx r max 2 3 fC() 4p u kT u NF u SNR det (2) Pt → Tx output power GRx ,GTx → RX and TX Antenna gain σ → RCS of the object N → Number of chirps Tr → Chirp time NF → Noise figure of the receiver SNRdet → Minimum SNR required by the algorithum to detect an object k → Boltzman constant Tdet → Ambient temperature SWRA553A–May 2017–Revised February 2020 Programming Chirp Parameters in TI Radar Devices 3 Submit Documentation Feedback Copyright © 2017–2020, Texas Instruments Incorporated Impact of Chirp Configuration on System Parameters www.ti.com 2.1.2 Range Resolution In many applications it is important to be able to resolve two closely spaced objects as two separate objects, rather than detect them as one. The smallest distance between two objects that allows them to be detected as separate objects is referred to as range resolution. This primarily depends on the chirp sweep bandwidth that the radar sensor can provide. The larger the sweep bandwidth, the better the range resolution. TI’s radar devices support a 4 GHz sweep bandwidth that allows a range resolution of as low as approximately 4cm. c Rangeresolution 2Bu (3) c → Speed of light B → Sweep bandwidth of FMCW chirp Better range resolution also helps in detecting very close by objects, hence, improving a minimum detection range. 2.2 Measurement Velocity and Velocity Resolution 2.2.1 Maximum Velocity Along with the distance, the relative velocity of the object is another critical parameter of interest. The maximum measurable velocity in Fast FMCW modulated radars depends on the chirp cycle time, that is, the time difference between the start of two consecutive chirps. This in turn depends on how fast the frequency sweep can be performed and the minimum inter-chirp time allowed. The faster the MMIC can ramp the frequency, the higher the maximum unambiguous velocity. TI’s MMIC allows a fast ramp of 100 MHz/µs. Also the closed loop PLL is designed to
Load more

Recommended publications
  • Chirp Presentation
    Seminar Agenda • Overview of CHIRP technology compared to traditional fishfinder technology – What’s different? • Importance of proper transducer selection & installation • Maximize the performance of your electronics system • Give feedback, offer product suggestions, and ask tough transducer questions Traditional “Toneburst” Fishfinder • Traditional fishfinders operate at discrete frequencies such as 50kHz and 200kHz. • This limits depth range, range resolution, and ultimately, what targets can be detected in the water column. Fish Imaging at Different Frequencies Koden CVS-FX1 at 4 Different Frequencies Range Resolution Comparison Toneburst with separated targets Toneburst w/out separated targets CHIRP without separated targets Traditional “Toneburst” Fishfinder • Traditional sounders operate at discrete frequencies such as 50kHz and 200kHz. • This limits resolution, range and ultimately, what targets can be detected in the water column. • Tone burst transmit pulse may be high power but very short duration. This limits the total energy that is transmitted into the water column CHIRP A major technical advance in Fishing What is CHIRP? • CHIRP has been used by the military, geologists and oceanographers since the 1950’s • Marine radar systems have utilized CHIRP technology for many years • This is the first time that CHIRP technology has been available to the recreational, sport fishing and light commercial industries….. and at an affordable price CHIRP Starts with the Transducer • AIRMAR CHIRP-ready transducers are the enabling technology for manufacturers designing CHIRP sounders • Only sounders using AIRMAR CHIRP-ready transducers can operate as a true CHIRP system CHIRP is a technique that involves three principle steps 1. Use broadband transducer (Airmar) 2. Transmit CHIRP pulse into water 3.
    [Show full text]
  • The Digital Wide Band Chirp Pulse Generator and Processor for Pi-Sar2
    THE DIGITAL WIDE BAND CHIRP PULSE GENERATOR AND PROCESSOR FOR PI-SAR2 Takashi Fujimura*, Shingo Matsuo**, Isamu Oihara***, Hideharu Totsuka**** and Tsunekazu Kimura***** NEC Corporation (NEC), Guidance and Electro-Optics Division Address : Nisshin-cho 1-10, Fuchu, Tokyo, 183-8501 Japan Phone : +81-(0)42-333-1148 / FAX : +81-(0)42-333-1887 E-mail: * [email protected], ** [email protected], *** [email protected], **** [email protected], ***** [email protected] BRIEF CONCLUSION This paper shows the digital wide band chirp pulse generator and processor for Pi-SAR2, and the history of its development at NEC. This generator and processor can generate the 150, 300 or 500MHz bandwidth chirp pulse and process the same bandwidth video signal. The offset video method is applied for this component in order to achieve small phase error, instead of I/Q video method for the conventional SAR system. Pi-SAR2 realized 0.3m resolution with the 500 MHz bandwidth by this component. ABSTRACT NEC had developed the first Japanese airborne SAR, NEC-SAR for R&D in 1992 [1]. Its resolution was 5 m and this SAR generates 50 MHz bandwidth chirp pulse by the digital chirp generator. Based on this technology, we had developed many airborne SARs. For example, Pi-SAR (X-band) for CRL (now NICT) can observe the 1.5m resolution SAR image with the 100 MHz bandwidth [2][3]. And its chirp pulse generator and processor adopted I/Q video method and the sampling rate was 123.45MHz at each I/Q video channel of the processor.
    [Show full text]
  • Analysis of Chirped Oscillators Under Injection Signals
    Analysis of Chirped Oscillators Under Injection Signals Franco Ramírez, Sergio Sancho, Mabel Pontón, Almudena Suárez Dept. of Communications Engineering, University of Cantabria, Santander, Spain Abstract—An in-depth investigation of the response of chirped reach a locked state during the chirp-signal period. The possi- oscillators under injection signals is presented. The study con- ble system application as a receiver of frequency-modulated firms the oscillator capability to detect the input-signal frequen- signals with carriers within the chirped-oscillator frequency cies, demonstrated in former works. To overcome previous anal- ysis limitations, a new formulation is presented, which is able to band is investigated, which may, for instance, have interest in accurately predict the system dynamics in both locked and un- sensor networks. locked conditions. It describes the chirped oscillator in the enve- lope domain, where two time scales are used, one associated with the oscillator control voltage and the other associated with the II. FORMULATION OF THE INJECTED CHIRPED OSCILLATOR beat frequency. Under sufficient input amplitude, a dynamic Consider the oscillator in Fig. 1, which exhibits the free- synchronization interval is generated about the input-signal frequency. In this interval, the circuit operates at the input fre- running oscillation frequency and amplitude at the quency, with a phase shift that varies slowly at the rate of the control voltage . A sawtooth waveform will be intro- control voltage. The formulation demonstrates the possibility of duced at the the control node and one or more input signals detecting the input-signal frequency from the dynamics of the will be injected, modeled with their equivalent currents ,, beat frequency, which increases the system sensitivity.
    [Show full text]
  • Femtosecond Optical Pulse Shaping and Processing
    Prog. Quant. Elecrr. 1995, Vol. 19, pp. 161-237 Copyright 0 1995.Elsevier Science Ltd Pergamon 0079-6727(94)00013-1 Printed in Great Britain. All rights reserved. 007%6727/95 $29.00 FEMTOSECOND OPTICAL PULSE SHAPING AND PROCESSING A. M. WEINER School of Electrical Engineering, Purdue University, West Lafayette, IN 47907, U.S.A CONTENTS 1. Introduction 162 2. Fourier Svnthesis of Ultrafast Outical Waveforms 163 2.1. Pulse shaping by linear filtering 163 2.2. Picosecond pulse shaping 165 2.3. Fourier synthesis of femtosecond optical waveforms 169 2.3.1. Fixed masks fabricated using microlithography 171 2.3.2. Spatial light modulators (SLMs) for programmable pulse shaping 173 2.3.2.1. Pulse shaping using liquid crystal modulator arrays 173 2.3.2.2. Pulse shaping using acousto-optic deflectors 179 2.3.3. Movable and deformable mirrors for special purpose pulse shaping 180 2.3.4. Holographic masks 182 2.3.5. Amplification of spectrally dispersed broadband laser pulses 183 2.4. Theoretical considerations 183 2.5. Pulse shaping by phase-only filtering 186 2.6. An alternate Fourier synthesis pulse shaping technique 188 3. Additional Pulse Shaping Methods 189 3.1. Additional passive pulse shaping techniques 189 3. I. 1. Pulse shaping using delay lines and interferometers 189 3.1.2. Pulse shaping using volume holography 190 3.1.3. Pulse shaping using integrated acousto-optic tunable filters 193 3.1.4. Atomic and molecular pulse shaping 194 3.2. Active Pulse Shaping Techniques 194 3.2.1. Non-linear optical gating 194 3.2.2.
    [Show full text]
  • Improved Spectrograms Using the Discrete Fractional Fourier Transform
    IMPROVED SPECTROGRAMS USING THE DISCRETE FRACTIONAL FOURIER TRANSFORM Oktay Agcaoglu, Balu Santhanam, and Majeed Hayat Department of Electrical and Computer Engineering University of New Mexico, Albuquerque, New Mexico 87131 oktay, [email protected], [email protected] ABSTRACT in this plane, while the FrFT can generate signal representations at The conventional spectrogram is a commonly employed, time- any angle of rotation in the plane [4]. The eigenfunctions of the FrFT frequency tool for stationary and sinusoidal signal analysis. How- are Hermite-Gauss functions, which result in a kernel composed of ever, it is unsuitable for general non-stationary signal analysis [1]. chirps. When The FrFT is applied on a chirp signal, an impulse in In recent work [2], a slanted spectrogram that is based on the the chirp rate-frequency plane is produced [5]. The coordinates of discrete Fractional Fourier transform was proposed for multicompo- this impulse gives us the center frequency and the chirp rate of the nent chirp analysis, when the components are harmonically related. signal. In this paper, we extend the slanted spectrogram framework to Discrete versions of the Fractional Fourier transform (DFrFT) non-harmonic chirp components using both piece-wise linear and have been developed by several researchers and the general form of polynomial fitted methods. Simulation results on synthetic chirps, the transform is given by [3]: SAR-related chirps, and natural signals such as the bat echolocation 2α 2α H Xα = W π x = VΛ π V x (1) and bird song signals, indicate that these generalized slanted spectro- grams provide sharper features when the chirps are not harmonically where W is a DFT matrix, V is a matrix of DFT eigenvectors and related.
    [Show full text]
  • Advanced Chirp Transform Spectrometer with Novel Digital Pulse Compression Method for Spectrum Detection
    applied sciences Article Advanced Chirp Transform Spectrometer with Novel Digital Pulse Compression Method for Spectrum Detection Quan Zhao *, Ling Tong * and Bo Gao School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; [email protected] * Correspondence: [email protected] (Q.Z.); [email protected] (L.T.); Tel.: +86-18384242904 (Q.Z.) Abstract: Based on chirp transform and pulse compression technology, chirp transform spectrometers (CTSs) can be used to perform high-resolution and real-time spectrum measurements. Nowadays, they are widely applied for weather and astronomical observations. The surface acoustic wave (SAW) filter is a key device for pulse compression. The system performance is significantly affected by the dispersion characteristics match and the large insertion loss of the SAW filters. In this paper, a linear phase sampling and accumulating (LPSA) algorithm was developed to replace the matched filter for fast pulse compression. By selecting and accumulating the sampling points satisfying a specific periodic phase distribution, the intermediate frequency (IF) chirp signal carrying the information of the input signal could be detected and compressed. Spectrum measurements across the entire operational bandwidth could be performed by shifting the fixed sampling points in the time domain. A two-stage frequency resolution subdivision method was also developed for the fast pulse compression of the sparse spectrum, which was shown to significantly improve the calculation Citation: Zhao, Q.; Tong, L.; Gao, B. speed. The simulation and experiment results demonstrate that the LPSA method can realize fast Advanced Chirp Transform pulse compression with adequate high amplitude accuracy and frequency resolution.
    [Show full text]
  • A Fully Electronic System for the Time Magnification of Ultra-Wideband
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, VOL. 55, NO. 2, FEBRUARY 2007 327 A Fully Electronic System for the Time Magnification of Ultra-Wideband Signals Joshua D. Schwartz, Student Member, IEEE, José Azaña, Member, IEEE, and David V. Plant, Senior Member, IEEE Abstract—We present the first experimental demonstration of Recent demonstrations of time-stretching systems intended a fully electronic system for the temporal magnification of signals for the aforementioned microwave applications have almost ex- in the ultra-wideband regime. The system employs a broadband clusively invoked the optical domain [1]–[5]. This presents a analog multiplier and uses chirped electromagnetic-bandgap structures in microstrip technology to provide the required signal problem for microwave systems from an integration standpoint, dispersion. The demonstrated system achieves a time-magnifica- as signal conversion to and from the optical domain necessi- tion factor of five in operation on a 0.6-ns time-windowed input tates the cumbersome element of electrooptic modulation, and signal with up to 8-GHz bandwidth. We discuss the advantages the referenced works require costly mode-locked or supercon- and limitations of this technique in comparison to recent demon- tinuum laser sources. strations involving optical components. The decision to perform time-stretching operations in the Index Terms—Analog multipliers, frequency conversion, mi- optical domain was motivated in part by a perceived lack of crostrip filters, signal detection, signal processing. a sufficiently broadband low-loss dispersive element in the electrical domain such as that which is readily available in optical fiber [2]. In our recent study [6], we proposed a fully I.
    [Show full text]
  • On the Lora Modulation for Iot: Waveform Properties and Spectral Analysis Marco Chiani, Fellow, IEEE, and Ahmed Elzanaty, Member, IEEE
    ACCEPTED FOR PUBLICATION IN IEEE INTERNET OF THINGS JOURNAL 1 On the LoRa Modulation for IoT: Waveform Properties and Spectral Analysis Marco Chiani, Fellow, IEEE, and Ahmed Elzanaty, Member, IEEE Abstract—An important modulation technique for Internet of [17]–[19]. On the other hand, the spectral characteristics of Things (IoT) is the one proposed by the LoRa allianceTM. In this LoRa have not been addressed in the literature. paper we analyze the M-ary LoRa modulation in the time and In this paper we provide a complete characterization of the frequency domains. First, we provide the signal description in the time domain, and show that LoRa is a memoryless continuous LoRa modulated signal. In particular, we start by developing phase modulation. The cross-correlation between the transmitted a mathematical model for the modulated signal in the time waveforms is determined, proving that LoRa can be considered domain. The waveforms of this M-ary modulation technique approximately an orthogonal modulation only for large M. Then, are not orthogonal, and the loss in performance with respect to we investigate the spectral characteristics of the signal modulated an orthogonal modulation is quantified by studying their cross- by random data, obtaining a closed-form expression of the spectrum in terms of Fresnel functions. Quite surprisingly, we correlation. The characterization in the frequency domain found that LoRa has both continuous and discrete spectra, with is given in terms of the power spectrum, where both the the discrete spectrum containing exactly a fraction 1/M of the continuous and discrete parts are derived. The found analytical total signal power.
    [Show full text]
  • Parameter Estimation of Linear and Quadratic Chirps by Employing the Fractional Fourier Transform and a Generalized Time Frequency Transform
    Sadhan¯ a¯ Vol. 40, Part 4, June 2015, pp. 1049–1075. c Indian Academy of Sciences Parameter estimation of linear and quadratic chirps by employing the fractional fourier transform and a generalized time frequency transform 1 2, 3 SHISHIR B SAHAY , T MEGHASYAM ∗, RAHUL K ROY , GAURAV POONIWALA2, SASANK CHILAMKURTHY2 and VIKRAM GADRE2 1Military Institute of Technology, Girinagar, Pune 411 025, India 2Indian Institute of Technology Bombay, Mumbai 400 076, India 3INS Tunir, Mumbai 400 704, India e-mail: [email protected]; [email protected]; [email protected]; [email protected]; [email protected]; [email protected] MS received 10 April 2014; revised 8 January 2015; accepted 23 January 2015 Abstract. This paper is targeted towards a general readership in signal processing. It intends to provide a brief tutorial exposure to the Fractional Fourier Transform, followed by a report on experiments performed by the authors on a Generalized Time Frequency Transform (GTFT) proposed by them in an earlier paper. The paper also discusses the extension of the uncertainty principle to the GTFT. This paper discusses some analytical results of the GTFT. We identify the eigenfunctions and eigenvalues of the GTFT. The time shift property of the GTFT is discussed. The paper describes methods for estimation of parameters of individual chirp signals on receipt of a noisy mixture of chirps. A priori knowledge of the nature of chirp signals in the mixture – linear or quadratic is required, as the two proposed methods fall in the category of model-dependent methods for chirp parameter estimation. Keywords. Mixture of chirp signals; time–frequency plane; instantaneous fre- quency (IF); model-dependent methods for chirp parameter estimation; Fractional Fourier Transform (FrFT); Generalized Time-Frequency Transform (GTFT); Uncer- tainty principle; Eigenfunction.
    [Show full text]
  • Radar Measurement Fundamentals
    Radar Measurement Fundamentals Radar Measurement Fundamentals Primer Table of Contents Chapter I. Introduction . .1 Chapter III. Pulse Measurements Methods . .10 Overview . .10 Radar Measurement Tasks Through the life Automated RF Pulse Measurements . .12 cycle of a radar system . .1 Short Frame Measurements — The Pulse Model . .12 Challenges of Radar Design & Verification . .1 Sampling the RF . .12 Challenges of Production Testing . .2 Choosing Measurement Parameters . .12 Signal Monitoring . .2 Measurement Filter Type . .13 Basic RF Pulsed Radar Signals . .2 Detection Threshold and Minimum OFF Time . .13 Compressed Pulse signal types and purposes . .3 Maximum Number of Pulses to Measure . .14 Linear FM Chirps . .3 Frequency Estimation Method . .14 Frequency Hopping . .3 Measurement Point Definitions . .14 Phase Modulation . .4 Droop Compensation and Rise/Fall Definitions . .15 Digital Modulation . .4 50% Level Definitions . .15 Radar Pulse Creation . .4 Finding the Pulse . .15 Transmitter Tests . .4 Minimum Pulse Width for Detection . .15 Receiver Tests . .4 Using the Threshold Setting . .16 Chapter II. Pulse Generation – Baseband and Finding the Pulse Carrier Amplitude . .17 RF Modulated Pulses . .5 Method One: Magnitude Histogram . .18 Method Two: Local Statistics . .20 Overview . .5 Method Three: Moving Average . .20 Baseband Pulse Generation . .5 Noise Histogram (preparation for method four) . .21 Pulse Modulated RF . .6 Method Four: Least Squares Carrier Fit . .21 RF Pulses Directly from an Arbitrary Waveform Generator . .6 Locating the Pulse Cardinal Points . .23 Synthesizing Signals Directly in the AWG Series Interpolation . .24 with RFXpress¤ . .7 Estimating the Carrier Frequency . .24 The Carrier Parameters . .7 Constant Phase . .24 Adding Impairments . .7 Changing Phase . .25 Adding Interference . .7 Linear Chirp .
    [Show full text]
  • CHIRP Technology
    CHIRP Technology Airmar Technology NMEA 2013 San Diego Seminar Agenda • Overview of CHIRP technology compared to traditional fishfinder technology – What’s different? • Advantages vs disadvantages of CHIRP technology • Give feedback, offer product suggestions, and ask tough transducer questions Traditional “Toneburst” Fishfinder • Traditional sounders operate at discrete frequencies such as 50kHz and 200kHz. • This limits range resolution, and ultimately, what targets can be detected in the water column. Fish Imaging at Different Frequencies Resolution Comparison Traditional “Toneburst” Fishfinder • Traditional sounders operate at discrete frequencies such as 50kHz and 200kHz. • This limits resolution, range and ultimately, what targets can be detected in the water column. • Tone burst transmit pulse may be high power but very short duration. This limits the total energy that is transmitted into the water column. CHIRP A major technological advance in Sounder Technology CHIRP is a technique that involves three principle steps 1. Use broadband transducer (Airmar) 2. Transmit CHIRP pulse into water 3. Processing of return echoes by method of pattern matching (pulse compression) CHIRP Starts with the Transducer • AIRMAR CHIRP-ready transducers are the enabling technology for manufacturers designing CHIRP sounders • Only sounders using AIRMAR CHIRP-ready transducers can operate as a true CHIRP system DFF1-UHD GSD-26 CP450C BSM-2 It’s all about BANDWIDTH! 1. Use of a broadband transducer (Airmar) What is bandwith? Why is it important? 50 & 200 kHz 42-65 kHz 130-210 kHz 80 kHz 1 kHz Sound Amplitude per Drive Volt per Drive Amplitude Sound Frequency (kHz) CHIRP is a technique that involves three principle steps 1. Use broadband transducer (Airmar) 2.
    [Show full text]
  • Compact Ultrafast Laser Pulse Shaping Using Chirped Volume Bragg Gratings
    Compact ultrafast laser pulse shaping using chirped volume Bragg gratings Filipe Ru~aoMarques Teixeira fi[email protected] Instituto Superior T´ecnico,Lisboa, Portugal April 2016 Abstract The shaping of ultrafast pulses is an area of great interest in the world of laser technology, due to the multiple possibilities and applications enabled by user-defined shaped pulses. Despite the success of the several existing techniques for pulse shaping, common problems still exist, such as the large dimensions of the associated experimental setups or the sensitivity of the alignment to mechanical vibrations, which limit their use in environments outside the laboratory, such as in industrial equipment. In this work we study the feasibility of a novel alternative to the optical element that performs the spatial dispersion inside a conventional pulse modulator. Our approach consists in using a chirped volume Bragg grating, and the goal is to study the properties of the transverse spatial chirp created when a laser pulse enters on the CVBG at a given angle. We developed a simplified theoretical model that allows the calculation of the diffraction efficiency at a given depth inside the CVBG and the associated spatial chirp. Using the model, the performance was studied for several parameters of the diffraction grating and of the incident pulse. We performed a number of laboratory measurements using different experimental setups for characterizing the performance of a specific CVBG operating at 1034 nm. We compare those with the theoretical model and determine of the influence of each parameter. Finally, we analyze and discuss the future possibilities and limitations for the use of CVBG ultra-short pulse shaping.
    [Show full text]