EURASIP Journal on Wireless Communications and Networking
Automatic target recognition using waveform diversity in radar sensor networks
Pattern Recognition Letters
Joint transmitter and receiver polarization optimization for scattering estimation in clutter
IEEE Transactions on Signal Processing
Optimal polarized beampattern synthesis using a vector antenna array
IEEE Transactions on Signal Processing
Radar sensor network using a new triphase coded waveform: theory and application
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Collaborative signal processing using radar sensor networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Radar sensor networks for automatic target recognition with delay-doppler uncertainty
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Orthogonal waveform design and performance analysis in radar sensor networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Estimation of target density functions by a new algorithm
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Hi-index | 754.84 |
We apply a sequential experiment design procedure to the problem of signal selection for radar target classification. Radar waveforms are designed to discriminate between targets possessing a doubly spread reflectivity function that are observed in clutter. The waveforms minimize decision time by maximizing the discrimination information in the echo signal. Each waveform selected maximizes the Kullback-Leibler (1951) information number that measures the dissimilarity between the observed target and the alternative targets. We discuss in details two scenarios. In the first scenario, the target environment is assumed fixed during illumination. In this case, the optimal waveform selection strategy leads to a fixed library of waveforms. During actual classification, the sequence in which the waveforms are selected from the library is determined from the noise to clutter power in the range-Doppler support of the targets. In the second scenario, the target environment changes between pulse transmissions. In this case, the maximum discrimination information is obtained by a repeated transmission of a single waveform designed from the reflectivity function of the targets. We show that our choice of signals can produce significant gains in detection performance