Williams_FR1_TO4_5_2011_07_29v1.ppt
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The document summarizes the development of a dual-frequency FM-CW radar system to study precipitation at close ranges of less than 150 meters. Key aspects include using technologies from mobile phones, police radar, and video games to build inexpensive radar hardware costing less than $12,000. The system is able to achieve 5-meter range resolution and generates Doppler velocity spectra at each range based on signal processing using two FFTs. Initial observations captured snow and rain events.
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![Developing a Dual-Frequency FM-CW Radar to Study Precipitation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],This work is supported: University of Colorado at Boulder CIRES Innovative Research Program With collaborations from Paul Johnston and David Carter](https://image.slidesharecdn.com/williams-fr1-to4-5-2011-07-29v1-110729101548-phpapp02/85/Williams_FR1_TO4_5_2011_07_29v1-ppt-1-320.jpg)
![Motivation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Dave Rishavy, Product Manager Oscilloscopes, Rohde & Schwarz
Dave Rishavy has a BS in Electrical Engineering from Florida State University and an MBA from the University of Colorado. Prior to joining Rohde and Schwarz, Mr. Rishavy gained over 15 years of experience in the test and measurement field at Agilent Technologies. This included positions in a wide range of technical marketing areas such as application engineering, product marketing, marketing management and strategic product planning. While at Agilent, Dave led the marketing and industry segment teams for the Infiniium line of oscilloscopes as well as high end logic analysis.
Introduction to Wireless Communication
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Embedded systems increasingly employ digital, analog and RF signals all of which are tightly synchronized in time. Debugging these systems is challenging in that one needs to measure a number of different signals in one or more domains (time, digital, frequency) and with tight time synchronization. This session will discuss how a digital oscilloscope can be used to effectively debug these systems, and some of the instrumentation considerations that go along with this.wireless communications
1) The document discusses small-scale fading in mobile radio propagation. Small-scale fading is caused by multipath propagation and describes rapid fluctuations in a radio signal over a short time period or travel distance.
2) It introduces the impulse response model used to model multipath channels. The received signal is a combination of multipath components that arrive at different times with different amplitudes and phases.
3) It discusses parameters used to characterize mobile multipath channels including mean excess delay, RMS delay spread, maximum excess delay, coherence bandwidth, Doppler spread, and coherence time. These parameters describe the time dispersion and time-varying nature of the channel.
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RADAR
RADAR is an electromagnetic detection system that works by transmitting electromagnetic waves and studying the echo or reflected back waves. It has applications in air traffic control, ship safety, military uses, and more. The maximum unambiguous range of a radar is determined by its pulse repetition frequency, beyond which targets will cause ambiguous echoes. MTI radar uses doppler filtering and pulse cancellation to remove stationary clutter and detect moving targets. Limitations include equipment instability, internal clutter fluctuations, and finite time observing targets while scanning. Noncoherent MTI detects moving targets using amplitude fluctuations rather than phase fluctuations as in coherent MTI radar.
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The document discusses MTI (Moving Target Indication) and pulse Doppler radars. It explains that MTI radars use techniques like delay line cancellation to eliminate echoes from stationary clutter and detect moving targets. Pulse Doppler radars employ the Doppler shift caused by target motion to detect targets. Key differences are noted - MTI radars have no range ambiguities but Doppler ambiguities, while pulse Doppler radars have the opposite problem. Blind speeds, limitations of CW radar, and techniques to overcome issues like flicker noise and lack of isolation are also covered. Applications of CW radar like speed measurement are mentioned.
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Radar engineering notes provide an introduction to radar systems and their applications. Radar operates by transmitting electromagnetic waves and detecting signals reflected back from objects. The basic radar system consists of a transmitter, antenna, receiver and processor. Modern radars can determine angle of arrival, Doppler shift and distinguish moving targets. Key applications of radar include air traffic control, air navigation with weather avoidance radar, and military uses such as air defense.
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RADAR stands for Radio Detection and Ranging. It uses radio waves to determine the range, altitude, direction or speed of objects. The document discusses the basic principles and components of radar systems. It describes how pulsed radar works by transmitting pulses and calculating distance based on time of flight. Continuous wave radar is also covered, which can determine velocity using Doppler shift. Applications discussed include navigation, weather monitoring, air traffic control and military uses such as early warning systems and missile guidance.
Radar 2009 a 4 radar equation
This document contains 23 slides from a course on radar systems and the radar equation. It begins with an overview of key radar functions like detection, measurement, tracking and identification. It then provides details on the development of the radar range equation, covering topics like radar cross section, noise sources, system noise temperature and the effects of factors like target properties, radar characteristics, propagation medium and range. Examples are provided to demonstrate how modifying parameters like transmitter power, antenna diameter or range can impact radar performance. Charts show specifications for different types of search radars.
KinPhy
KinPhy is a kinetic in-band channel for millimeter-wave networks that uses physically oscillating metasurfaces to backscatter information to an mm-wave router (1). It consists of a metasurface and radar reader (2). The metasurface precisely modulates the phase of reflected mm-wave signals using piezo actuators, while the reader shines a mm-wave signal onto the surface and decodes the backscattered signal (3). Evaluation shows the system can accurately detect metasurfaces at distances up to 5m indoors, even when non-line-of-sight or facing away, demonstrating potential for applications like spontaneous authentication and security.
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This document discusses key concepts related to radio frequency (RF) networking for NCL and LMS products. It covers RF terminology like wavelength and frequency, spectrum allocation, transmit power, receive sensitivity, radiated power, energy losses, FCC guidelines, spread spectrum techniques, signal propagation, line of sight, and how antennas work. The key points are that RF networking involves considering factors like wavelength, frequency, power levels, spectrum allocation, propagation effects, and FCC compliance.
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This document discusses subsystems of radar and signal processing, specifically focusing on ST (Stratosphere Troposphere) radar. It begins by introducing the goals of understanding basic radar concepts and studying ST radar. It then provides an overview of key radar subsystems including antennas, duplexers, transmitters, and receivers. The document concludes by describing common signal processing techniques used in radar like correlation, Doppler filtering, and detection processing.
1-Wang-FR1020-IGARSS11.pptx
1) The document proposes a method using the discrete fractional Fourier transform (DFRFT) to estimate target vibrations from synthetic aperture radar (SAR) imagery.
2) The method was tested on SAR data collected by the Lynx system of a stationary target vibrating at 5 Hz with an amplitude of 1.5 mm.
3) The DFRFT method successfully estimated the target's vibration frequency and reconstructed the time-varying vibration acceleration signal from the SAR data.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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- 7. Hardware Layout Costs for C-band Radar ~$US 6k
- 8. Simplified Tx and Rx Schematic
- 9. Timing Diagram: Frequency Chirp and Data Collection Trigger f 0 f 1 B = f 1 - f 0 Frequency Chirp Data Collection Trigger T delay T dwell T end T wait T IPP T sweep Sweep Trigger Data is being collected
- 13. Range Equations Target Tx Rx R f 0 f 1 B = f 1 - f 0 T sweep Tx Rx For a linear FM signal, a hard target located at range R will generate a delayed version of the transmitted signal t = 2 R / c seconds later.
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- 20. 21 Second Dwell during Rain Clutter Downward Motion 300 m 0 m
- 21. 21 & 10.5 Second Dwells Time: 0-10.5 sec Time: 10.5-21 sec Time: 0-21 sec
- 22. 5 second Dwells Time: 0-5 sec Time: 10-15 sec Time: 5-10 sec Time: 15-20 sec
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- 24. 21 Second Dwell processed into 1 second intervals 21 Seconds
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