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本文提出了一种非高斯杂波中的距离-多普勒扩展目标广义自适应子空间检测器(RDST-GASD).采用了频率-慢时间子空间模型来描述宽带雷达回波信号序列.杂波的统计模型采用球不变随机向量描述,各距离单元内的杂波具有相同的归一化协方差矩阵和不同的功率(非均匀),并且假设可以得到只含有杂波的参考单元的数据以估计杂波的协方差矩阵.通过理论分析证明了RDST-GASD对杂波的功率和协方差矩阵都具有恒虚警的性质.对于宽带雷达,在相参处理时间内,目标回波通常存在越距离单元走动,RDST-GASD进行了距离对齐处理,从而实现了有效的相参积累,提高了检测性能.
In this paper, we propose a generalized adaptive subspace detector (RDST-GASD) for distance-Doppler spread targets in non-Gaussian clutter. The frequency-slow time subspace model is used to describe the broadband radar echo signal sequence. The statistical model of the wave is described by a ball-invariant random vector, the clutter within each distance cell has the same normalized covariance matrix and different powers (non-uniform), and it is assumed that data of a reference cell containing only clutter can be obtained To estimate the clutter covariance matrix.The theoretical analysis shows that the power and covariance matrix of RDST-GASD both have the property of constant false alarm.For the wideband radar, the target echo usually exists during the coherent processing time The more distance the unit moves, the RDST-GASD is distance-aligned to achieve effective coherent accumulation and improve the detection performance.