Stochastic Model Based Radar Waveform Design for Weapon Detection
We consider signature exploitation based waveform design for detection of weapons with a single-antenna monostatic radar. In order to account for the target signature variation with orientation and aspect angle, we model the target impulse response as a random process. For a weapon target, we show t...
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Published in | IEEE transactions on aerospace and electronic systems Vol. 48; no. 2; pp. 1815 - 1826 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.04.2012
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Summary: | We consider signature exploitation based waveform design for detection of weapons with a single-antenna monostatic radar. In order to account for the target signature variation with orientation and aspect angle, we model the target impulse response as a random process. For a weapon target, we show that the stochastic model based waveform significantly outperforms the commonly used chirp waveform in terms of the signal-to-clutter-and-noise ratio (SCNR) at the output of the receive filter, leading to an enhanced detection performance. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0018-9251 1557-9603 |
DOI: | 10.1109/TAES.2012.6178104 |