Coding matrix optimization in cognitive radar system with EBPSK-based MCPC signal

Peng Chen and Lenan Wu

Journal of Electromagnetic Waves and Applications, 2015, vol. 29, issue 11, 1497-1507

Abstract: In this work, the target detection problem based on constant false alarm rate is considered. With the power spectral density knowledge of target and clutter, an iteration algorithm is proposed to optimize the coding matrix of the extended binary phase shift keying-based multi-carrier phase-coded signal. The proposed algorithm has a lower complexity compared with existing works and is practical in cognitive radar systems. Additionally, we analyze the effect of the coding matrix on the target detection performance. When the same probability of false alarm is adopted, the proposed waveform design method can achieve better target detection performance compared with the random coding matrix waveform. Finally, simulation results demonstrate that the target detection performance is improved by optimizing the coding matrix, and the detection probability is improved by 21%, when the false alarm ratio is 0.6.

Date: 2015
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DOI: 10.1080/09205071.2015.1049715

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