基于稀疏超指数盲均衡的高频外辐射源雷达发射信号提取

基于天波雷达发射信号的外辐射源雷达需要在接收站提取发射信号用于匹配滤波处理, 而到达接收站的发射信号往往受到电离层反射与折射多径污染的问题, 提出了一种基于超指数与常数模盲均衡算法的发射信号混合盲反卷积方法.利用电离层折射与反射等多径杂波的稀疏性, 采用稀疏处理降低混合算法中超指数盲均衡算法的计算量, 从而实现发射信号的恢复.针对发射信号恢复质量对检测性能的影响进行了分析评估.计算机仿真表明, 所提出的盲均衡算法保持了超指数算法快速收敛的优点, 同时, 在性能损失很小的情况下计算量显著下降, 具有良好的工程应用前景.

Reference signal recovery exploiting sparse blind super exponential equalizer for high frequency passive bistatic radar

The transmitted signal contaminated by the multipath clutter in the receiver end must be recovered for matched filtering for high frequency passive bistatic radar. A type of combined blind super exponential(SE) algorithm and constant modulus algorithm is proposed to accomplish the recovery of the transmitted signal in the reference channel. Sparsity of the multipath reflection of the ionosphere is utilized to simplify the computational complexity of the SE algorithm. The effect of the quality of the recovered signal on the target detection performance is evaluated. The combined algorithm has the advantages of the fast convergence rate and low computational complexity with an acceptable performance loss. The performance of the proposed algorithm is validated through computer simulations.