直接数据域的自适应匹配滤波方法

Direct Data Domain Approach with Adaptive Match Filter

研究机载预警雷达非平稳杂波抑制问题.在获得单个距离门回波数据的最小均方谱分布基础上,利用最小二乘方法和clearing技术拟合杂波谱分布特性并重构无空时孔径损失的杂波子空间,采用自适应匹配滤波方法检测运动目标.能有效解决传统直接数据域方法存在的空时孔径损失和传统统计空时自适应处理(STAP)方法在非平稳杂波环境存在的性能严重下降,仿真结果表明本文方法能获得良好的动目标检测性能.

This paper describes a new non-stationary clutter mitigation method.The approach,called as D3AMF,is performed in three stages,i.e.sub-aperture space-time spectral estimation using only a single range bin,full-dimension space-time spectral reconstruction with least-square fitting and clearing,target detection with adaptive match filtering.An important feature of the proposed method is its ability to extract requisite implementation information from the data itself and without sacrificing space-time aperture.A preliminary result against an airborne simulation data demonstrates the effectiveness of the proposed method.