基于松弛半定规划零速滤波器的杂波图检测方法

A Clutter Map Detection Method Based on Relaxed Semidefinite Programmed Zero-speed Filter

零速滤波器性能的好坏会影响杂波图的建立与检测效果,传统零速滤波器是采用快速傅里叶变换(Fast Fourier Transform,FFT)滤波器来实现的,其主瓣宽度固定,不能根据杂波谱宽灵活调整,且相邻滤波器间存在交叠损失,影响杂波图的检测性能。鉴于此,本文提出一种基于松弛半定规划的零速滤波器设计方法,该方法可以根据杂波谱宽灵活调整主瓣宽度,一个滤波器即可完整分离出杂波,降低系统复杂度,且通带内响应平缓,可以减少交叠损失,提升雷达超低速目标检测性能,仿真结果验证了该方法的有效性。

The establishment and detection performance of clutter map is absolutely affected by zero-speed filter performance.Conventional zero-speed filter is based on Fast Fourier Transform(FFT)filter.The main lobe width of conventional zero-speed filter is fixed and cannot be adjusted according to actual width of clutter spectrum.Besides,there is overlapping loss between adjacent FFT filters,which negatively affects the clutter map detection performance.This paper proposes a zero-speed filter design based on relaxed semidefinite programming.The designed filter can adjust its main lobe width according to actual clutter spectrum.Therefore,a single filter can separate the clutter completely,reducing system complexity.In addition,the designed filter has flat passband response,which reduces overlapping loss,so that the detection performance of radar against ultra-low speed targets is improved.The simulation results show that the proposed design is effective.