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Signal processing for automotive radar

IEEE International Radar Conference, 2005., 2005
With rising accident rates, researchers are looking for solutions to reduce fatalities. Some enhance car designs to protect drivers more adequately. Some propose improvements to the traffic and road systems to reduce the chances of accidents. Still others propose the installation of special gadgets to improve the situational awareness of drivers and to
D. Kok, J.S. Fu
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Elementary Radar Signal Processing

2004
Having examined how a radar signal is generated, is emitted from the antenna, scatters from external objects, reenters the radar, and is recorded as a voltage by an A/D converter, we now begin consideration of how to interpret the resulting measurement.
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Zero-IF radar signal processing

2015 European Microwave Conference (EuMC), 2015
In this paper, a zero-IF radar architecture is presented. An agile prototyping environment is shown, based on the capabilities of modern instrumentation complemented by COTS components and minimal custom circuitry. Receiver sensitivity improvements based on the oversampling and antipodal modulation techniques are described.
Stefano Turso, Thomas Bertuch
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Signal Processing for Atmospheric Radars

1990
Signal processing is perhaps the area of atmospheric remote sensing where science and engineering make their point of closest contact. Signal processing offers challenges to engineers who enjoy developing state-of-the-art systems and to scientists who enjoy being at the crest of the wave in observing atmospheric phenomena in unique ways.
R. Jeffrey Keeler, Richard E. Passarelli
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Signal Processing for Passive Radar

2019 IEEE Radar Conference (RadarConf), 2019
•Improved surveillance• Extended detection and tracking ranges •Detect more targets • Safeguard and reduce number of high value ...
Hongbin Li, Yimin D. Zhang, Braham Himed
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Polarimetric radar signal processing

1989
The subject of this paper is the improvement of radar target detection performance by means of polarimetric processing techniques. Specifically the performance of low resolution radars equipped with dual polarisation receiving channels are investigated referring to the improvements obtainable in radar target detection in the presence of ground clutter ...
GIULI, DINO, GHERARDELLI, MONICA
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Signal Processing for Atmospheric Radars

1989
This document offers an overview of signal processing techniques and the technology that are applicable to the atmospheric remote sensing tools of weather radar, lidar, ST/MST radars and wind profilers. This review of signal processing for atmospheric radars was originally written as Chapter 20 of the book "Radar in Meteorology", edited by Dave Atlas ...
Keeler, R, Passarelli, Richard
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Digital signal processing for doppler radar signals

ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
In a pulsed-doppler radar system the return signal is naturally viewed as a sequence of samples of one or more complex sinusoids plus noise. We have studied several digital processing techniques for estimating a short-time spectral representation of such signals as well as digital techniques for estimating the frequency of a single dominant spectral ...
R. Schaefer, R. Schafer, R. Mersereau
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Signal Fidelity in Radar Processing

IRE Transactions on Military Electronics, 1962
Usually in a radar signal-processing scheme, the primary consideration is the geometrical resolution of the system, or, if a particular measurement is desired, the accuracy of the system. Thus a given signal-to-noise ratio may be sought in order to meet a simple detection requirement or a desired accuracy.
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ASSP-based radar signal processing

Journal of Electronics (China), 2000
This paper proposes the Application Specific Signal Processor(ASSP)-based implementation of the real-time signal processing system in both spatial domain and time domain for a phased-array radar. This paper also proposes the system-on-silicon hardware design of some ASSPs including the adaptive beamformer, FFT appliation specific integrated circuit ...
Guorong Hu, Yueqiu Han, Leonard Chin
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