Glossary of RF Terms the Following Terms Are Commonly Used in Radio Freqency Connector Applications
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Radar Transmitter/Receiver
Introduction to Radar Systems Radar Transmitter/Receiver Radar_TxRxCourse MIT Lincoln Laboratory PPhu 061902 -1 Disclaimer of Endorsement and Liability • The video courseware and accompanying viewgraphs presented on this server were prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, nor the Massachusetts Institute of Technology and its Lincoln Laboratory, nor any of their contractors, subcontractors, or their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, products, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government, any agency thereof, or any of their contractors or subcontractors or the Massachusetts Institute of Technology and its Lincoln Laboratory. • The views and opinions expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof or any of their contractors or subcontractors Radar_TxRxCourse MIT Lincoln Laboratory PPhu 061802 -2 Outline • Introduction • Radar Transmitter • Radar Waveform Generator and Receiver • Radar Transmitter/Receiver Architecture -
Lecture 11 : Discrete Cosine Transform Moving Into the Frequency Domain
Lecture 11 : Discrete Cosine Transform Moving into the Frequency Domain Frequency domains can be obtained through the transformation from one (time or spatial) domain to the other (frequency) via Fourier Transform (FT) (see Lecture 3) — MPEG Audio. Discrete Cosine Transform (DCT) (new ) — Heart of JPEG and MPEG Video, MPEG Audio. Note : We mention some image (and video) examples in this section with DCT (in particular) but also the FT is commonly applied to filter multimedia data. External Link: MIT OCW 8.03 Lecture 11 Fourier Analysis Video Recap: Fourier Transform The tool which converts a spatial (real space) description of audio/image data into one in terms of its frequency components is called the Fourier transform. The new version is usually referred to as the Fourier space description of the data. We then essentially process the data: E.g . for filtering basically this means attenuating or setting certain frequencies to zero We then need to convert data back to real audio/imagery to use in our applications. The corresponding inverse transformation which turns a Fourier space description back into a real space one is called the inverse Fourier transform. What do Frequencies Mean in an Image? Large values at high frequency components mean the data is changing rapidly on a short distance scale. E.g .: a page of small font text, brick wall, vegetation. Large low frequency components then the large scale features of the picture are more important. E.g . a single fairly simple object which occupies most of the image. The Road to Compression How do we achieve compression? Low pass filter — ignore high frequency noise components Only store lower frequency components High pass filter — spot gradual changes If changes are too low/slow — eye does not respond so ignore? Low Pass Image Compression Example MATLAB demo, dctdemo.m, (uses DCT) to Load an image Low pass filter in frequency (DCT) space Tune compression via a single slider value n to select coefficients Inverse DCT, subtract input and filtered image to see compression artefacts. -
(MSEE) COMMUNICATION, NETWORKING, and SIGNAL PROCESSING TRACK*OPTIONS Curriculum Program of Study Advisor: Dr
MASTER OF SCIENCE IN ELECTRICAL ENGINEERING (MSEE) COMMUNICATION, NETWORKING, AND SIGNAL PROCESSING TRACK*OPTIONS Curriculum Program of Study Advisor: Dr. R. Sankar Name USF ID # Term/Year Address Phone Email Advisor Areas of focus: Communications (Systems/Wireless Communications), Networking, and Digital Signal Processing (Speech/Biomedical/Image/Video and Multimedia) Course Title Number Credits Semester Grade 1. Mathematics: 6 hours Random Process in Electrical Engineering EEE 6545 3 Select one other from the following Linear and Matrix Algebra EEL 6935 3 Optimization Methods EEL 6935 3 Statistical Inference EEL 6936 3 Engineering Apps for Vector Analysis** EEL 6027 3 Engineering Apps for Complex Analysis** EEL 6022 3 2. Focus Area Core Courses: 15 hours (Select a major core with 2 sets of sequences from groups A or B and a minor core (one course from the other group) A. Communications and Networking Digital Communication Systems EEL 6534 3 Mobile and Personal Communication EEL 6593 3 Broadband Communication Networks EEL 6506 3 Wireless Network Architectures and Protocols EEL 6597 3 Wireless Communications Lab EEL 6592 3 B. Signal Processing Digital Signal Processing I EEE 6502 3 Digital Signal Processing II EEL 6752 3 Speech Signal Processing EEL 6586 3 Deep Learning EEL 6935 3 Real-Time DSP Systems Lab (DSP/FPGA Lab) EEL 6722C 3 3. Electives: 3 hours A. Communications, Networking, and Signal Processing Selected Topics in Communications EEL 7931 3 Network Science EEL 6935 3 Wireless Sensor Networks EEL 6935 3 Digital Signal Processing III EEL 6753 3 Biomedical Image Processing EEE 6514 3 Data Analytics for Electrical and System Engineers EEL 6935 3 Biomedical Systems and Pattern Recognition EEE 6282 3 Advanced Data Analytics EEL 6935 3 B. -
An Experiment in High-Frequency Sediment Acoustics: SAX99
An Experiment in High-Frequency Sediment Acoustics: SAX99 Eric I. Thorsos1, Kevin L. Williams1, Darrell R. Jackson1, Michael D. Richardson2, Kevin B. Briggs2, and Dajun Tang1 1 Applied Physics Laboratory, University of Washington, 1013 NE 40th St, Seattle, WA 98105, USA [email protected], [email protected], [email protected], [email protected] 2 Marine Geosciences Division, Naval Research Laboratory, Stennis Space Center, MS 39529, USA [email protected], [email protected] Abstract A major high-frequency sediment acoustics experiment was conducted in shallow waters of the northeastern Gulf of Mexico. The experiment addressed high-frequency acoustic backscattering from the seafloor, acoustic penetration into the seafloor, and acoustic propagation within the seafloor. Extensive in situ measurements were made of the sediment geophysical properties and of the biological and hydrodynamic processes affecting the environment. An overview is given of the measurement program. Initial results from APL-UW acoustic measurements and modelling are then described. 1. Introduction “SAX99” (for sediment acoustics experiment - 1999) was conducted in the fall of 1999 at a site 2 km offshore of the Florida Panhandle and involved investigators from many institutions [1,2]. SAX99 was focused on measurements and modelling of high-frequency sediment acoustics and therefore required detailed environmental characterisation. Acoustic measurements included backscattering from the seafloor, penetration into the seafloor, and propagation within the seafloor at frequencies chiefly in the 10-300 kHz range [1]. Acoustic backscattering and penetration measurements were made both above and below the critical grazing angle, about 30° for the sand seafloor at the SAX99 site. -
AN INTRODUCTION to MUSIC THEORY Revision A
AN INTRODUCTION TO MUSIC THEORY Revision A By Tom Irvine Email: [email protected] July 4, 2002 ________________________________________________________________________ Historical Background Pythagoras of Samos was a Greek philosopher and mathematician, who lived from approximately 560 to 480 BC. Pythagoras and his followers believed that all relations could be reduced to numerical relations. This conclusion stemmed from observations in music, mathematics, and astronomy. Pythagoras studied the sound produced by vibrating strings. He subjected two strings to equal tension. He then divided one string exactly in half. When he plucked each string, he discovered that the shorter string produced a pitch which was one octave higher than the longer string. A one-octave separation occurs when the higher frequency is twice the lower frequency. German scientist Hermann Helmholtz (1821-1894) made further contributions to music theory. Helmholtz wrote “On the Sensations of Tone” to establish the scientific basis of musical theory. Natural Frequencies of Strings A note played on a string has a fundamental frequency, which is its lowest natural frequency. The note also has overtones at consecutive integer multiples of its fundamental frequency. Plucking a string thus excites a number of tones. Ratios The theories of Pythagoras and Helmholz depend on the frequency ratios shown in Table 1. Table 1. Standard Frequency Ratios Ratio Name 1:1 Unison 1:2 Octave 1:3 Twelfth 2:3 Fifth 3:4 Fourth 4:5 Major Third 3:5 Major Sixth 5:6 Minor Third 5:8 Minor Sixth 1 These ratios apply both to a fundamental frequency and its overtones, as well as to relationship between separate keys. -
The Emergence of Low Frequency Active Acoustics As a Critical
Low-Frequency Acoustics as an Antisubmarine Warfare Technology GORDON D. TYLER, JR. THE EMERGENCE OF LOW–FREQUENCY ACTIVE ACOUSTICS AS A CRITICAL ANTISUBMARINE WARFARE TECHNOLOGY For the three decades following World War II, the United States realized unparalleled success in strategic and tactical antisubmarine warfare operations by exploiting the high acoustic source levels of Soviet submarines to achieve long detection ranges. The emergence of the quiet Soviet submarine in the 1980s mandated that new and revolutionary approaches to submarine detection be developed if the United States was to continue to achieve its traditional antisubmarine warfare effectiveness. Since it is immune to sound-quieting efforts, low-frequency active acoustics has been proposed as a replacement for traditional passive acoustic sensor systems. The underlying science and physics behind this technology are currently being investigated as part of an urgent U.S. Navy initiative, but the United States and its NATO allies have already begun development programs for fielding sonars using low-frequency active acoustics. Although these first systems have yet to become operational in deep water, research is also under way to apply this technology to Third World shallow-water areas and to anticipate potential countermeasures that an adversary may develop. HISTORICAL PERSPECTIVE The nature of naval warfare changed dramatically capability of their submarine forces, and both countries following the conclusion of World War II when, in Jan- have come to regard these submarines as principal com- uary 1955, the USS Nautilus sent the message, “Under ponents of their tactical naval forces, as well as their way on nuclear power,” while running submerged from strategic arsenals. -
Fundamentals of Duct Acoustics
Fundamentals of Duct Acoustics Sjoerd W. Rienstra Technische Universiteit Eindhoven 16 November 2015 Contents 1 Introduction 3 2 General Formulation 4 3 The Equations 8 3.1 AHierarchyofEquations ........................... 8 3.2 BoundaryConditions. Impedance.. 13 3.3 Non-dimensionalisation . 15 4 Uniform Medium, No Mean Flow 16 4.1 Hard-walled Cylindrical Ducts . 16 4.2 RectangularDucts ............................... 21 4.3 SoftWallModes ................................ 21 4.4 AttenuationofSound.............................. 24 5 Uniform Medium with Mean Flow 26 5.1 Hard-walled Cylindrical Ducts . 26 5.2 SoftWallandUniformMeanFlow . 29 6 Source Expansion 32 6.1 ModalAmplitudes ............................... 32 6.2 RotatingFan .................................. 32 6.3 Tyler and Sofrin Rule for Rotor-Stator Interaction . ..... 33 6.4 PointSourceinaLinedFlowDuct . 35 6.5 PointSourceinaDuctWall .......................... 38 7 Reflection and Transmission 40 7.1 A Discontinuity in Diameter . 40 7.2 OpenEndReflection .............................. 43 VKI - 1 - CONTENTS CONTENTS A Appendix 49 A.1 BesselFunctions ................................ 49 A.2 AnImportantComplexSquareRoot . 51 A.3 Myers’EnergyCorollary ............................ 52 VKI - 2 - 1. INTRODUCTION CONTENTS 1 Introduction In a duct of constant cross section, with a medium and boundary conditions independent of the axial position, the wave equation for time-harmonic perturbations may be solved by means of a series expansion in a particular family of self-similar solutions, called modes. They are related to the eigensolutions of a two-dimensional operator, that results from the wave equation, on a cross section of the duct. For the common situation of a uniform medium without flow, this operator is the well-known Laplace operator 2. For a non- uniform medium, and in particular with mean flow, the details become mo∇re complicated, but the concept of duct modes remains by and large the same1. -
Signal Shorts
Signal Shorts Bill Fawcett Director of Engineering The Problem WMRA has published a coverage map which shows where we expect our signal to reach, based on formulas devised by the FCC. Yet even within our established coverage area, there are locales in which the signal sounds "fuzzy". In most cases, the topography of the area is causing "multi-path" interference, that is, reflections of the signal off of nearby mountains adds to the direct signal, but delayed somewhat in time, and scrambles the received signal. This is the same phenomenon that causes "ghosts" on your TV (shadow- images on your screen, not the "X-Files"). Multipath is a significant problem along the I-81 corridor North of Harrisonburg to Strasburg. Also at Penn Laird along Route 33. Multipath problems are so site-specific that moving a radio a few feet may make a difference. The next time you get a fuzzy signal at a traffic light you may note that it clears up by advancing a few feet (watch out for the car in front of you, or you may have other, more serious, problems). Switching to mono, if possible, will also help. Other areas suffer from terrain obstructions. This may be noted at Massanutten Resort, and in the UVA area of Charlottesville. For those outside of the predicted coverage area, signal strength (the lack of) may be a problem, as may interference. North of Charlottesville this is a big problem, with interference from a high-power station in Washington D.C. causing problems. Lastly, the downtown Charlottesville area suffers from interference from WCYK's 105.1 translator. -
CSB.01 M2M Cellular Signal Amplifier
CSB.01 M2M Cellular Signal Amplifier Operator’s Manual and Installation Guide www.taoglas.com Designed & Manufactured in The U.S.A. Contents 1. Overview 3 2. Parts List 3 3. Installation Guide 4 4. Installation with an SMA Device - Fixed Location 4 5. Installation with an SMA Device - Mobile Location 6 6. LED Diagnostics 7 7. Diagnostic LED definitions 7 8. Passive Bypass Technology – Patent Pending 8 9. CSB.01 Specifications 9 10. Safeguard Features 10 11. Antennas 10 12. Warranty Information 11 1. Overview The CSB.01 Wireless Network Range Extender is a high performance, microprocessor controlled, bidirectional RF amplifier for the entire North American 850 MHz cellular and 1900 MHz PCS frequency bands. The amplifier has an automatic gain and oscillation control system that will automatically adjust the gain and the output power if a signal anomaly occurs. This amplifier is designed to operate as a direct connect unit within a cellular system, for maximum performance in weak signal coverage areas. The input power requirements for the amplifier are positive 8.0 to 32.0 volts DC (negative ground). 2. Parts List Depending upon the connector type of the cellular device, Taoglas can customize the M2M kit to include the appropriate adapters to ensure a seamless and quick installation. Adapter types include, but are not limited to SMA, RP-SMA, MMCX, MCX, FME, and TNC. 1: CSB.01 Amplifier Unit 2: AC/DC Power Adapter 3: Hardwire DC Power Cable 4: Magnetic-Mount 5: SMA-to-SMA Device 6. Optional –SMA-to-MMCX Outdoor Signal Antenna Cable – If connecting to an Device Cable – If connecting MB.TG30.A.305111 SMA device to an MMCX device. -
Standing Waves Physics Lab I
Standing Waves Physics Lab I Objective In this series of experiments, the resonance conditions for standing waves on a string will be tested experimentally. Equipment List PASCO SF-9324 Variable Frequency Mechanical Wave Driver, PASCO PI-9587B Digital Frequency Generator, Table Rod, Elastic String, Table Clamp with Pulley, Set of 50 g and 100 g Masses with Mass Holder, Meter Stick. Theoretical Background Consider an elastic string. One end of the string is tied to a rod. The other end is under tension by a hanging mass and pulley arrangement. The string is held taut by the applied force of the hanging mass. Suppose the string is plucked at or near the taut end. The string begins to vibrate. As the string vibrates, a wave travels along the string toward the ¯xed end. Upon arriving at the ¯xed end, the wave is reflected back toward the taut end of the string with the same amount of energy given by the pluck, ideally. Suppose you were to repeatedly pluck the string. The time between each pluck is 1 second and you stop plucking after 10 seconds. The frequency of your pluck is then de¯ned as 1 pluck per every second. Frequency is a measure of the number of repeating cycles or oscillations completed within a de¯nite time frame. Frequency has units of Hertz abbreviated Hz. As you continue to pluck the string you notice that the set of waves travelling back and forth between the taut and ¯xed ends of the string constructively and destructively interact with each other as they propagate along the string. -
Keysight Technologies Signal Studio for Broadcast Radio N7611C
Keysight Technologies Signal Studio for Broadcast Radio N7611C Technical Overview – Create Keysight validated and performance optimized reference signals compliant with FM Stereo/RDS, DAB, DAB+, T-DMB, and XM standards – Generate ARB waveforms and real-time signals for XM – Independently configure multi-carriers/multi-channels for up to 12 carriers – Add real-time fading, AWGN, and interferers – Accelerate the signal creation process with a user interface based on parameterized and graphical signal configuration and tree-style navigation 02 | Keysight | N7611C Signal Studio for Broadcast Radio - Technical Overview Simplify Broadcast Radio Signal Creation Typical measurements Signal Studio software is a flexible suite of signal-creation tools that will reduce the time Typical FM Stereo/RDS you spend on signal simulation. For broadcast radio standards including FM Stereo/ component measurements RDS, DAB, DAB+, T-DMB, and XM, Signal Studio’s performance-optimized reference – ACLR signals—validated by Keysight—enhance the characterization and verification of your – THD devices. Through its application-specific user-interface you’ll create standards-based – SINAD and custom test signals for component, transmitter, and receiver test. – Channel power Component and transmitter test Typical DAB/DAB+/DMB/XM Signal Studio’s advanced capabilities use waveform playback mode to create and component measurements customize waveform files needed to test components and transmitters. Its user-friendly – ACLR interface lets you configure signal parameters, -
Ch 12: Sound Medium Vs Velocity
Ch 12: Sound Medium vs velocity • Sound is a compression wave (longitudinal) which needs a medium to compress. A wave has regions of high and low pressure. • Speed- different for various materials. Depends on the elastic modulus, B and the density, ρ of the material. v B/ • Speed varies with temperature by: v (331 0.60T)m/s • Here we assume t = 20°C so v=343m/s Sound perceptions • A listener is sensitive to 2 different aspects of sound: Loudness and Pitch. Each is subjective yet measureable. • Loudness is related to Energy of the wave • Pitch (highness or lowness of sound) is determined by the frequency of the wave. • The Audible Range of human hearing is from 20Hz to 20,000Hz with higher frequencies disappearing as we age. Beyond hearing • Sound frequencies above the audible range are called ultrasonic (above 20,000 Hz). Dogs can detect sounds as high as 50,000 Hz and bats as high as 100,000 Hz. Many medicinal applications use ultrasonic sounds. • Sound frequencies below 20 Hz are called infrasonic. Sources include earthquakes, thunder, volcanoes, & waves made by heavy machinery. Graphical analysis of sound • We can look at a compression (pressure) wave from a perspective of displacement or of pressure variations. The waves produced by each are ¼ λ out of phase with each other. Sound Intensity • Loudness is a sensation measuring the intensity of a wave. • Intensity = energy transported per unit time across a unit area. I≈A2 • Intensity (I) has units power/area = watt/m2 • Human ear can detect I from 10-12 w/m2 to 1w/m2 which is a wide range! • To make a sound twice as loud requires 10x the intensity.