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实际工作环境中雷达经常会受到α稳态分布冲击噪声的影响,使得大量高斯噪声背景下基于二阶或更高阶累积量的角度估计算法性能急剧下降。文中提出了一种基于FLOM-ESPRIT算法的双基地MIMO雷达收发角度估计方法,算法通过利用匹配滤波后数据构造分数低阶协方差矩阵实现对冲击噪声的有效抑制,弥补了传统的二阶或四阶统计模型及相应的处理算法不适用于冲击噪声环境的缺陷,增强了信号子空间估计算法的稳健性,并且无需计算量繁杂的二维谱峰搜索。
Radars in the real working environment are often affected by α-steady-state impact noise, and the performance of the angle estimation algorithm based on second-order cumulants or more is drastically reduced in the presence of a large number of Gaussian noise. In this paper, we propose a method to estimate the transmission and reception angle of a bistatic MIMO radar based on the FLOM-ESPRIT algorithm. The algorithm effectively reduces the impact noise by constructing a fractional lower-order covariance matrix using the matched filtered data, and makes up for the traditional second- Order statistics model and the corresponding processing algorithms are not suitable for the impact of the impact of noise and improve the robustness of signal subspace estimation algorithm, and without the complexity of the two-dimensional peak search.