基于PAST处理的机载双基雷达自适应角度-多普勒补偿算法

Adaptive Angle-Doppler Compensation Method for Airborne Bistatic Radar Based on PAST

自适应角度-多普勒补偿算法根据样本数据本身来自适应地估计补偿参数,从而避免惯导系统误差造成的补偿性能下降问题,但该算法必须对杂波协方差矩阵进行估计和特征分解,运算量巨大。针对这一问题,该文研究了基于近似投影子空间跟踪(PAST)处理的自适应角度-多普勒补偿算法,该方法先采用循环迭代处理快速估计出各距离单元主特征向量谱中心的位置参数,避免了矩阵特征分解带来的运算负担,然后通过补偿使得各单元的谱中心重合。仿真结果表明,该方法能有效解决机载双基雷达杂波非均匀问题,其性能与基于特征分解算法相当,但运算量显著降低,便于工程实现。

The adaptive angle-Doppler compensation method adaptively extracts requisite information based on the data itself, thereby avoiding the problem of performance degradation due to inertial system error. However,this method requires the estimation and eigen decomposition of a sample covariance matrix, which has high computational complexity and limits its real-time application. In this paper, we investigate an adaptive angleDoppler compensation method based on Projection Approximation Subspace Tracking（PAST）. This method uses cyclic iterative processing to quickly estimate the positions of the spectral center of the maximum eigenvector in each range cell, thereby avoiding the computational burden of matrix estimation and eigen decompositon. Then, the spectral centers of all range cells are overlapped by two-dimensional compensation.Our simulation results demonstrate that the proposed method can effectively reduce the nonhomogeneity of airborne bistatic radar, with a performance is similar to that of eigen-decomposition algorithms, but with a reduced computational load and easy implementation.