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构造了一种特殊的阵列结构,定义了子阵列输出信号之间的互协变异矩阵,提出了一种在SαS噪声环境中基于分数低阶矩的二维子空间测向算法。该算法利用SαS过程具有p(p≥α)阶矩无限、而分数p(0≤p<α)阶矩有限等特点,扩展了二维测向算法的信号模型和应用环境,对加性SαS噪声有较好的抑制作用,弥补了传统的基于二阶和高阶统计量的子空间测向算法不能应用于冲击噪声环境的不足。计算机仿真验证了该算法的可行性和有效性。
A special array structure is constructed and the cross-covariance matrix between subarray output signals is defined. A two-dimensional subspace direction finding algorithm based on fractional lower-order moments is proposed in SαS noise environment. The algorithm expands the signal model and application environment of two-dimensional direction finding algorithm by using SαS process with p (p≥α) order moments unlimited and fraction p (0≤p <α) moments limited. Which can make up for the shortcomings that the traditional subspace direction finding algorithms based on second-order and high-order statistics can not be applied to impact noise environment. Computer simulation shows that the algorithm is feasible and effective.