一种具有频率不变性约束的新型自适应动目标检测滤波器

Novel adaptive moving target detection filter with frequency invariance constraint

针对传统自适应动目标检测(MTD)滤波器旁瓣电平较高、抑制能力较差的问题,提出了一种具有频率不变性约束的新型自适应MTD滤波器设计算法。该算法通过线性约束最小方差(LCMV)准则保证低慢小目标信号无失真输出,并结合响应偏差(RV)约束来释放更多自由度用于杂波抑制,并增加了旁瓣约束控制滤波器旁瓣电平的大小,最后通过凸优化工具箱CVX求解全局最优权值。仿真结果显示,所提算法在干扰方向产生了较深较宽的零陷,降低了旁瓣电平,与传统自适应MTD滤波器相比具有明显的优越性。

In order to solve the problem of high sidelobe level and poor suppression ability of traditional adaptive moving target detection(MTD)filter,a novel adaptive MTD filter design algorithm with frequency invariance constraint is proposed.This algorithm guarantees the distortion free output of low,slow and small(LSS)target signals by the linear constrained minimum variance(LCMV)criterion,and combines with the response variation(RV)constraint to release more degrees of freedom for clutter suppression,and control filter sidelobe level by the sidelobe constraint.Finally,the global optimal weight is obtained through the convex optimization toolbox CVX.Simulation results show that the proposed algorithm can produce a wide and deep zero notch in the clutter direction and reduce the sidelobe level.It can be seen that the proposed algorithm is obviously superior to the traditional adaptive MTD filter algorithm.