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

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.

Keywords:

• clutter interference
• coding matrix optimization
• cognitive radar system
• extended binary phase shift keying (EBPSK)-based multi-carrier phase-coded (MCPC) signal

Notes

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported in part by the National Natural Science Foundation of China [grant number 61271204]; the National Key Technology R&D Program [grant number 2012BAH12B00].