Design of a low-complexity DOA estimation method based on fourth-order cumulants

Bin Lin, Guoping Hu
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Abstract

To address the problem that the conventional algorithm has a very high complexity in estimating the Direction of Arrival (DOA) of coherent sources in the background of color noise, this paper proposes a low-complexity DOA estimation method based on the fourth order cumulant and Toeplitz matrix reconstruction. Firstly, a Fourth Order Cumulant (FOC) matrix is constructed from the received signal vector to suppress the noise component, and the redundant information in the FOC matrix is removed by storing the matrix to obtain the reduced dimensional FOC matrix. Afterwards, the Toeplitz matrix is reconstructed to extend the array aperture and to achieve decoherence. Finally, the DOA estimation of the reconstructed matrix is performed using the MUSIC algorithm. Simulations demonstrate that the DOA estimation of coherent signals in a color-noise background is less complex and maintains a higher accuracy than conventional algorithms.
基于四阶累积量的低复杂度DOA估计方法设计
针对传统算法在彩色噪声背景下估计相干源DOA复杂度较高的问题,提出了一种基于四阶累积量和Toeplitz矩阵重构的低复杂度DOA估计方法。首先,根据接收到的信号矢量构造四阶累积量(FOC)矩阵来抑制噪声分量,通过存储该矩阵去除FOC矩阵中的冗余信息,得到降维FOC矩阵;然后,重构Toeplitz矩阵来扩展阵列孔径并实现退相干。最后,利用MUSIC算法对重构矩阵进行DOA估计。仿真结果表明,彩色噪声背景下相干信号的DOA估计较传统算法简单,精度较高。
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