Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (19): 205-209.

Adaptive detection waveform design based on prior knowledge

ZHAO Shoulin1, WANG Peng2

1. 1.Vocation College of Defense Technology, Liuan, Anhui 237011, China
2.Electronic Engineering Institute of PLA, Hefei 230037, China
• Online:2014-10-01 Published:2014-09-29

基于先验知识的自适应检测波形设计

1. 1.国防科技职业学院，安徽 六安 237011
2.解放军电子工程学院，合肥 230037

Abstract: In the presence of prior knowledge, the problem of detecting waveform design for cognitive radar is studied. The closed form of the influence of emission waveform on target detection is derived, and the waveform optimization algorithm based on alternating projection method is proposed. In order to improve the detecting performance of cognitive radar and reduce the negative impact of the signal-dependent clutter, the paper optimizes the transmitted waveform and the receiver filter jointly based on the derived closed-form solution of the relationship between the detection probability and the transmitted waveform. The simulation results indicate that the detection performance of the designed waveform is better than that of the constant envelope signal LFM waveform which is used widely in traditional radar. When it uses different initial waveforms to solve the optimization problem, the probability of detection after several iterations will approach the same value, which indicates that the convergence of the algorithm is good.