基于简化RLS算法的无源雷达杂波抑制

Simplified RLS-Type Algorithm-Based Clutter Suppression for Passive Bistatic Radar

研究了利用调频广播信号作为非合作目标照射源的收发分置无源雷达系统的运动目标检测方法。针对直达波、多径信号对目标检测性能的影响,选择自适应滤波方法抵消杂波。LMS算法计算复杂度低,但收敛速度慢;相反RLS算法收敛速度快,但计算复杂度高。综合两者优点,提出了一种简化RLS算法:复数两级欧几里德坐标下降算法(CDCD)。基于实测数据的处理结果表明:与同量级复杂度的LMS和FEDS相比,该算法具有更好的收敛速度。最后通过对杂波相消后的主天线信号与参考信号相干匹配实现目标检测。

In this paper,for the passive bistatic radar（PBR） system using a FM signal as non-cooperative target＇s illuminating signal,a moving target detection method is researched.Aiming at the effects of direct arrival wave and multipath signal,on moving target detection performance,an adaptive filter algorithm is adopted to cancel the effects of these clutters.The least mean square（LMS） algorithm has lower computational complexity,but its convergence speed is slower.On the contrary,the recursive least square（RLS） algorithm has faster convergence speed,but its computational complexity is relatively high.The complex number dichotomous coordinate descent（CDCD） method with faster convergence speed and lower complexity is presented.The processing results of the raw data show the better performance of the proposed algorithm.Finally,after canceling these clutters,the target can be easily detected by using coherent matching.