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DOA Estimation for Coprime Array With Mixed Noise Scenario via Phased Fractional Low-Order Moment
IEEE Wireless Communications Letters ( IF 4.6 ) Pub Date : 2021-08-25 , DOI: 10.1109/lwc.2021.3107553
Xudong Dong , Xiaofei Zhang , Jun Zhao , Meng Sun

Direction of arrival (DOA) estimation with coprime array is an important topic in array signal processing. In this letter, the coprime array technique is extended to mixed noise (white Gaussian noise and impulsive noise). Since the second order covariance matrix does not exist in presence of mixed noise, the phased fractional low-order moment (PFLOM) is used to replace the data covariance matrix of the received signals from coprime array, and then a DOA estimation approach based on toeplitz method with coprime array is applied. The feasibility of PFLOM with mixed noise scenario of coprime array is theoretically derived, and the simulation results show that the proposed method has better estimation performance than that of the existing methods, especially in the low generalized signal-to-noise ratio (GSNR) environment.

中文翻译:


基于相控分数低阶矩的混合噪声场景下互质阵列的 DOA 估计



使用互素阵列估计波达方向 (DOA) 是阵列信号处理中的一个重要课题。在这封信中,互质阵列技术被扩展到混合噪声(高斯白噪声和脉冲噪声)。由于存在混合噪声时不存在二阶协方差矩阵,因此采用相控分数低阶矩(PFLOM)来代替互素阵列接收信号的数据协方差矩阵,然后采用基于toeplitz的DOA估计方法应用带有互质数组的方法。从理论上推导了共素阵列混合噪声场景下PFLOM的可行性,仿真结果表明,该方法比现有方法具有更好的估计性能,特别是在低广义信噪比(GSNR)环境下。
更新日期:2021-08-25
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