DMCA
Radar imaging via adaptive MIMO techniques (2006)
| Venue: | in Proc. 14th Eur. Signal Process. Conf |
| Citations: | 14 - 2 self |
BibTeX
@INPROCEEDINGS{Xu06radarimaging,
author = {Luzhou Xu and Jian Li and Petre Stoica},
title = {Radar imaging via adaptive MIMO techniques},
booktitle = {in Proc. 14th Eur. Signal Process. Conf},
year = {2006}
}
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Abstract
We investigate several adaptive techniques for a multiple-input multiple-output (MIMO) radar system. By transmit-ting independent waveforms via different antennas, the echoes due to targets at different locations are linearly independent of each other, which allows the direct application of many adaptive techniques. We discuss several adaptive radar imag-ing algorithms, which can provide excellent estimation ac-curacy of both target locations and target amplitudes, and high robustness to the array calibration errors. To reject the false peaks due to the strong jammers, we also propose a generalized likelihood ratio test (GLRT). As shown by the numerical examples, the number of targets can be estimated accurately by using GLRT, and an accurate description of the target scenario can be obtained by combining the adap-tive radar imaging algorithms and the GLRT technique. 1.
Keyphrases
adaptive mimo technique radar system target amplitude high robustness target location glrt technique different location false peak direct application target scenario array calibration error accurate description several adaptive technique excellent estimation ac-curacy many adaptive technique transmit-ting independent waveform different antenna generalized likelihood ratio test multiple-input multiple-output adap-tive radar several adaptive radar imag-ing algorithm numerical example strong jammer
