α稳态分布噪声下单基MIMO雷达DOA估计
发布时间：2018-09-15 20:07
【摘要】：MIMO雷达实际中的噪声通常是没有二阶以上的矩的α稳态分布冲击噪声,基于二阶或更高阶累积量的常用角度估计算法很难实现目标DOA估计。为此,提出了一种基于FLOM-RC-MUSIC算法的MIMO雷达DOA方法,通过利用匹配滤波后数据先进行降维处理,减小了算法的运算复杂度,再构造分数低阶协方差矩阵实现对冲击噪声的有效抑制,弥补了传统的处理算法不适用于冲击噪声的缺陷,增强了噪声子空间估计算法的稳健性。
[Abstract]:The actual noise of MIMO radar is usually the 伪 steady distribution impulse noise with no more than second order moments. It is difficult to realize the target DOA estimation by the commonly used angle estimation algorithm based on the second order or higher order cumulants. In this paper, a MIMO radar DOA method based on FLOM-RC-MUSIC algorithm is proposed. By using the matched filtering data to reduce the dimension first, the computational complexity of the algorithm is reduced, and then the fractional low order covariance matrix is constructed to effectively suppress the impact noise. It makes up for the disadvantage that the traditional processing algorithm is not suitable for impulse noise and enhances the robustness of the noise subspace estimation algorithm.
【作者单位】： 西安电子科技大学;空军工程大学;
【基金】：国家自然科学基金(No.61601502,61501501) 航空基金(No.20150196007,20150196003)
【分类号】：TN958
本文编号：2244374
[Abstract]:The actual noise of MIMO radar is usually the 伪 steady distribution impulse noise with no more than second order moments. It is difficult to realize the target DOA estimation by the commonly used angle estimation algorithm based on the second order or higher order cumulants. In this paper, a MIMO radar DOA method based on FLOM-RC-MUSIC algorithm is proposed. By using the matched filtering data to reduce the dimension first, the computational complexity of the algorithm is reduced, and then the fractional low order covariance matrix is constructed to effectively suppress the impact noise. It makes up for the disadvantage that the traditional processing algorithm is not suitable for impulse noise and enhances the robustness of the noise subspace estimation algorithm.
【作者单位】： 西安电子科技大学;空军工程大学;
【基金】：国家自然科学基金(No.61601502,61501501) 航空基金(No.20150196007,20150196003)
【分类号】：TN958
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