实际工作环境中雷达经常会受到琢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。

In the actual environment, radar is often affected by the impulsive noise, which reduces the performance of numerous angle estimation algorithms based on the two order or higher order in the Gauss noise background. In view of this, a FLOM-ESPRIT algorithm of bistatic MIMO radar angle estimation method is presented in this paper. The algorithm uses matched filtering data of fractional lower order covariance matrix to achieve effective noise suppression. The algorithm makes up for the traditional two order or four order statistical model and the corresponding processing algorithm is not suitable for the impulsive noise environment. It enhances the robustness of the signal subspace estimation algorithm, and does not need to calculate the amount of complex two-dimensional spectral peak searching.

TN958

国家自然科学基金资助项目;陕西省自然科学基金资助项目