7 May 2007 Radar detection using sparsely distributed apertures in urban environment
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Proceedings Volume 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI; 65671Q (2007); doi: 10.1117/12.720069
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States
Abstract
We present a new receiver design for spatially distributed apertures to detect targets in an urban environment. A distorted-wave Born approximation is used to model the scattering environment. We formulate the received signals at different receive antennas in terms of the received signal at the first antenna. The detection problem is then formulated as a binary hypothesis test. The receiver is chosen as the optimal linear filter that maximizes the signal-to-noise ratio (SNR) of the corresponding test statistic. The receiver operation amounts to correlating a transformed version of the measurement at the first antenna with the rest of the measurements. In the free-space case the transformation applied to the measurement from the first antenna reduces to a delay operator. We evaluate the performance of the receiver on a real data set collected in a multipath- and clutter-rich urban environment and on simulated data corresponding to a simple multipath scene. Both the experimental and simulation results show that the proposed receiver design offers significant improvement in detection performance compared to conventional matched filtering.
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Il-Young Son, Trond Varslot, Can Evren Yarman, Ali Pezeshki, Birsen Yazici, Margaret Cheney, "Radar detection using sparsely distributed apertures in urban environment", Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65671Q (7 May 2007); doi: 10.1117/12.720069; https://doi.org/10.1117/12.720069
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KEYWORDS
Receivers

Radar

Signal to noise ratio

Antennas

Image filtering

Binary data

Scattering

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