HANDBOOK ANDBOOK – USE of RADIO SPECTRUM for METEOROLOGY – Edition 2002 ANDBOOK – USE of RADIO SPECTRUM for METEOROLOGY H Use of Radio Spectrum for Meteorology
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Glossary Compiled with Use of Collier, C
Glossary Compiled with use of Collier, C. (Ed.): Applications of Weather Radar Systems, 2nd Ed., John Wiley, Chichester 1996 Rinehard, R.E.: Radar of Meteorologists, 3rd Ed. Rinehart Publishing, Grand Forks, ND 1997 DoC/NOAA: Fed. Met. Handbook No. 11, Doppler Radar Meteorological Observations, Part A-D, DoC, Washington D.C. 1990-1992 ACU Antenna Control Unit. AID converter ADC. Analog-to-digitl;tl converter. The electronic device which converts the radar receiver analog (voltage) signal into a number (or count or quanta). ADAS ARPS Data Analysis System, where ARPS is Advanced Regional Prediction System. Aliasing The process by which frequencies too high to be analyzed with the given sampling interval appear at a frequency less than the Nyquist frequency. Analog Class of devices in which the output varies continuously as a function of the input. Analysis field Best estimate of the state of the atmosphere at a given time, used as the initial conditions for integrating an NWP model forward in time. Anomalous propagation AP. Anaprop, nonstandard atmospheric temperature or moisture gradients will cause all or part of the radar beam to propagate along a nonnormal path. If the beam is refracted downward (superrefraction) sufficiently, it will illuminate the ground and return signals to the radar from distances further than is normally associated with ground targets. 282 Glossary Antenna A transducer between electromagnetic waves radiated through space and electromagnetic waves contained by a transmission line. Antenna gain The measure of effectiveness of a directional antenna as compared to an isotropic radiator, maximum value is called antenna gain by convention. -
Variable Capacitors in RF Circuits
Source: Secrets of RF Circuit Design 1 CHAPTER Introduction to RF electronics Radio-frequency (RF) electronics differ from other electronics because the higher frequencies make some circuit operation a little hard to understand. Stray capacitance and stray inductance afflict these circuits. Stray capacitance is the capacitance that exists between conductors of the circuit, between conductors or components and ground, or between components. Stray inductance is the normal in- ductance of the conductors that connect components, as well as internal component inductances. These stray parameters are not usually important at dc and low ac frequencies, but as the frequency increases, they become a much larger proportion of the total. In some older very high frequency (VHF) TV tuners and VHF communi- cations receiver front ends, the stray capacitances were sufficiently large to tune the circuits, so no actual discrete tuning capacitors were needed. Also, skin effect exists at RF. The term skin effect refers to the fact that ac flows only on the outside portion of the conductor, while dc flows through the entire con- ductor. As frequency increases, skin effect produces a smaller zone of conduction and a correspondingly higher value of ac resistance compared with dc resistance. Another problem with RF circuits is that the signals find it easier to radiate both from the circuit and within the circuit. Thus, coupling effects between elements of the circuit, between the circuit and its environment, and from the environment to the circuit become a lot more critical at RF. Interference and other strange effects are found at RF that are missing in dc circuits and are negligible in most low- frequency ac circuits. -
Agilent 89441A Vector Signal Analyzer Dc to 2.65 Ghz Data Sheet
Agilent 89441A Vector Signal Analyzer dc to 2.65 GHz Data Sheet Definitions Introduction Analog demodulation mode = Measurements with AM, Specifications describe warranted performance PM, and FM demodulation capabilities. over the temperature range of 0° to 45°C (except where noted) and include a 30-minute warm-up Baseband = dc to 10 MHz measurements. from ambient conditions, automatic calibrations enabled, auto-zero on, time domain calibration off, Baseband time = Time-domain measurements selected and anti-alias filter in, unless noted otherwise. by setting start frequency to exactly 0 Hz or choos- Supplemental characteristics identified as “typical” ing full span in 0 to 10 MHz measurements. or “characteristic” provide useful information by giving non-warranted performance parameters. dBc = dB relative to input signal level. Typical performance is applicable from 20° to 30°C. When enabled, automatic calibrations are periodi- dBfs = dB relative to full scale amplitude range cally performed to compensate for the effects of setting. Full scale is approximately 2 dB below temperature and time sensitivities. During the cali- ADC overload. bration, no signals > 0 dBm should be connected to the front panel inputs. FS or fs = Full scale; synonymous with amplitude range or input range. Feature summary RBW = Resolution bandwidth. Frequency dc to 2.650 GHz RF = 2 MHz to 2.65 GHz measurements. 51 to 3201 points Center frequency signal-tracking Scalar mode = Measurements with only frequency- Instrument modes domain analysis available. Frequency spans up to Scalar (frequency-domain only) 2648 MHz. Vector (amplitude and phase information in frequency and time domain and also SNR = Signal to noise ratio. -
Understanding Key Parameters for RF-Sampling Data Converters
White Paper: Zynq UltraScale+ RFSoCs WP509 (v1.0) February 20, 2019 Understanding Key Parameters for RF-Sampling Data Converters Xilinx® Zynq® UltraScale+™ RFSoCs provide a single device RF-to-output platform for the most demanding applications. Updated performance metrics more accurately present the direct-sampling RF capabilities of these devices. ABSTRACT In direct-sampling RF designs, data converters are typically characterized by the NSD, IM3, and ACLR parameters rather than by traditional metrics like SNR and ENOB. In software-defined radio and similar narrow-band use cases, it is more important to quantify the amount of data-converter noise falling into the band(s) of interest; legacy data conversion metrics are ill-suited to do this. This white paper first presents the mathematical relationships underlying traditional ADC parameters—SFDR, SNR, SNDR (SINAD), and ENOB—and illustrates why these metrics provide good characterization of data converters in wide-band applications such as superheterodyne receivers. It then delineates why these metrics are inappropriate for data converters that do not function over their full Nyquist bandwidth, as in direct RF sampling applications like SDR. Derivation and measurement of NSD, IM3, and ACLR are described in detail, including use of the Xilinx RF Data Converter Evaluation Tool in the measurement of RF data conversion parameters. © Copyright 2019 Xilinx, Inc. Xilinx, the Xilinx logo, Alveo, Artix, ISE, Kintex, Spartan, Versal, Virtex, Vivado, Zynq, and other designated brands included herein are trademarks of Xilinx in the United States and other countries. All other trademarks are the property of their respective owners. WP509 (v1.0) February 20, 2019 www.xilinx.com 1 Understanding Key Parameters for RF-Sampling Data Converters Introduction Analog data converters based on vacuum-tube technology were developed during World War II for message encryption systems. -
Use of the Decibel and the Neper in Telecommunications
Recommendation ITU-R V.574-5 (08/2015) Use of the decibel and the neper in telecommunications V Series Vocabulary and related subjects ii Rec. ITU-R V.574-5 Foreword The role of the Radiocommunication Sector is to ensure the rational, equitable, efficient and economical use of the radio- frequency spectrum by all radiocommunication services, including satellite services, and carry out studies without limit of frequency range on the basis of which Recommendations are adopted. The regulatory and policy functions of the Radiocommunication Sector are performed by World and Regional Radiocommunication Conferences and Radiocommunication Assemblies supported by Study Groups. Policy on Intellectual Property Right (IPR) ITU-R policy on IPR is described in the Common Patent Policy for ITU-T/ITU-R/ISO/IEC referenced in Annex 1 of Resolution ITU-R 1. Forms to be used for the submission of patent statements and licensing declarations by patent holders are available from http://www.itu.int/ITU-R/go/patents/en where the Guidelines for Implementation of the Common Patent Policy for ITU-T/ITU-R/ISO/IEC and the ITU-R patent information database can also be found. Series of ITU-R Recommendations (Also available online at http://www.itu.int/publ/R-REC/en) Series Title BO Satellite delivery BR Recording for production, archival and play-out; film for television BS Broadcasting service (sound) BT Broadcasting service (television) F Fixed service M Mobile, radiodetermination, amateur and related satellite services P Radiowave propagation RA Radio astronomy RS Remote sensing systems S Fixed-satellite service SA Space applications and meteorology SF Frequency sharing and coordination between fixed-satellite and fixed service systems SM Spectrum management SNG Satellite news gathering TF Time signals and frequency standards emissions V Vocabulary and related subjects Note: This ITU-R Recommendation was approved in English under the procedure detailed in Resolution ITU-R 1. -
Understanding Signal to Noise Ratio and Noise Spectral Density in High Speed Data Converters
Understanding Signal to Noise Ratio and Noise Spectral Density in high speed data converters TIPL 4703 Presented by Ken Chan Prepared by Ken Chan 1 Table of Contents • What is SNR – Definition of SNR • Components of SNR – Thermal, Quantization, Jitter • Calculation of SNR – Jitter Dominated • What is NSD – Definition of NSD – How is NSD different from SNR • Components of NSD – Same as SNR, just specification is different • Using NSD in typical application – In band Performance estimate using close in phase noise – Out of band emissions estimate based on out of band phase noise 2 What is SNR - Signal-to-Noise Ratio Basics • SNR is the ratio of the signal power to the noise power that corrupts the signal. This parameter does not include harmonic distortion. In the time domain: Noise Signal Noisy Signal In the frequency domain: Signal P SNR 10 log SIGNAL PNOISE SNR PSIGNAL , dBm PNOISE , dBm PNOISE , dBm 10 log PNOISE , dBm / Hz 10 log BW Hz Amplitude (dB) Noise Level FREQUENCY (Hz) 3 Maximizing the SNR in an ADC SNR P P SIGNAL , dBm NOISE , dBm SNR can be increased in the following ways: Quantization Thermal • Increase signal power ↑ – Full Scale Range (FSR) • Decrease noise power ↓ – Quantization Noise – Clock Jitter – ADC Aperture Jitter Aperture Jitter – Thermal Noise Clock Jitter 4 SNR by Individual Noise Contributors • Total SNR can be calculated by the sum of the individual noise sources: 1 SNR 10 log total SNR QUANT SNR JITTER SNR THERM 10 10 10 10 10 10 SNRQUANT = SNR due to quantization SNRJITTER = SNR due to -
The Essential Guide to Data Conversion
THE ESSENTIAL GUIDE TO DATA CONVERSION “Real-World” Sampled Data Systems Consist of ADCs and DACs ANALOG DIGITAL ADC Analog-to-Digital Converters (ADC) and Digital-to-Analog Converters (DAC) SENSOR CHANNEL DSP MEMORY allow DSPs to interact with real-world signals. Real-world signals are continuous (analog) signals. Pressure sensor DAC Temperaturese sensoensorre, ettcc. DE G Real-world signal processing allows for efficient and cost effective E AL U U O T L GI extraction of information from a signal. VA DI ANAL AMPLIT Signal amplitude TIME TIME Phase, etc. ADC SAMPLEDSAMPLED AND DAC RECONSTRUCTED QUANTIZED WAVEFORM WAVEFORM Digital information differs from real-world information in two important respects…it is sampled, and it is quantized. Both of these restrict how muchih inftformatiidon a diiigittlal silignal can contitain. Converter Resolution, INL, and DNL Converter resolutionr epresentst he analog signal at an umbero fd iscrete levels IDEAL or steps. The smallest resolvable signal is 1 Least Significant Bit (LSB), which is equal FS to FS/8 in this example. 7/8 IDEAL ItIntegralNl Nonlinearity (INL)i) is a measure oftf thhe maximum dideviation iLin LSSBBs, from 6/8 INL a straight line passing through negative full-scale and positive full-scale. Good INL is required for open-loop systems and many closed-loop systems. 5/8 G DNL G Differential Nonlinearityy( (DNL) is the difference between the actual step size and 4/8 the ideal 1 LSB change between two adjacent codes. ACTUAL 1 LSB ANALO DNLerror results in: ANALO 3/8 QUANTIZATION Smaller or larger step sizes than the ideal 2/8 UNCERTAINTY Additive noise/spursb eyondt he effectso fq uantization NON-MONOTONIC 1/8 A DAC is monotonic if its output increases or remains the same for an increment in the digital code, i.e., DNL > –1 LSB(a key requirement in a control system). -
Phase Noise and AM Noise Measurements in the Frequency Domain
Copyright 0 1984 Academic Press. Reprinted, with permission, from Infrared and Millimeter Waves, Vol. 11, pp. 239-289, 1984. INFRARED AND MILLIMETER WAVES. VOL. II CHAPTER 7 Phase Noise and AM Noise Measurements in the Frequency Domain Algie L. Lance, Wendell D. Seal. and Frederik Labaar TRW Operations and Support Group One Space Park Redondo Beach. California I. INTRODKTI~N II. FUNDAMENTAL CONCEPT A. .Voise Sidebands B. Spectral Denstty C. Spectral Denstries of Phase Fluctuations in the Freguency Domain D. Modulation Theory and Spectral Density Relationships E. Noise Processes F. Integrated Phase Noise G. AU Noise tn the Frequency Domain III. PHASE-NOISE MEASUREMENTS USING THE TWO-OWLLATOR TECHNIQUE 355 A. TWO NOISY Oscrllators 157 B. Automated Phase-Noise Measurements Using the Two-Oscillator Technique 358 C. Calibration and Measurements Using the Two-Oscillator S,vstem 259 IV. SINGLE-OSCILLATOR PHASE-NOISE MEASUREMENT SYSTEMSAND TECHNIQUES 267 A. The Delay Line as an FM Discriminator 168 B. Calibration and Measurements Using rhe Delay Line as an FM Discriminator 273 C. Dual Delay- Line Discriminator 381 D. Millimeter- Wace Phase-Noise Measurements 283 REFERENCE 287 I. Introduction Frequency sources contain noise that appears to be a superposition of causally generated signals and random, nondeterministic noises. The random noises include thermal noise, shot noise, and noises of undetermined origin (such as flicker noise). The end result is timedependent phase and amplitude fluctuations. Measurements of these fluctuations characterize the frequency source in terms of amplitude modulation (AM) and phase modulation (PM) noise (frequency stability). 239 Cop)nght @ 1984 by Academsc Press. Inc ~0 nghtr of reproducuon m any form reserved.