贝塞尔级数展开的机载前视阵雷达杂波谱补偿方法

提出了基于级数展开的杂波谱补偿方法,首先采用贝塞尔函数对每个距离环实现方位和俯仰角的分离;接着将训练单元的俯仰矢量向待检单元进行投影,得到一个变换矩阵.再使用变换矩阵对给定的多普勒门的数据进行处理,减轻杂波谱对距离的依赖性;最后,从变换后的数据中估计杂波协方差矩阵,再利用空时自适应算法对补偿后的数据进行杂波抑制.仿真结果表明,该方法能有效改善杂波的非平稳性,提高了系统抑制杂波的性能.

Compensation of the clutter spectrum for airborne forward-looking radar based on the Bessel series expansion

The clutter spectrum depends highly on the range for forward-looking radar,which results in the heterogeneous ground clutter in space-time adaptive processing(STAP).According to the clutter model,a novel method is proposed.The method firstly uses the Bessel function to separate the azimuth from the elevation,and the spatial-time steering vector could be represented as the azimuth and elevation vector kronecker product to each range gate.Secondly,a transform matrix could be obtained by projecting the training unit of the elevation vector to the tested,which is applied to process the data at a given Doppler gate,and eliminate the heterogeneous ground clutter and generate a sufficient data to construct the new covariance matrix.Finally,the conventional STAP could be applied to the clutter suppression.Simulation results verify the effectiveness of the proposed method.