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Joint estimation of DOA, frequency, and polarization based on cumulants and UCA

机译:基于累积量和UCA的DOA,频率和极化的联合估计

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摘要

A joint estimation algorithm of direction of arrival (DOA), frequency, and polarization, based on fourth-order cumulants and uniform circular array (UCA) of trimmed vector sensors is presented for narrowband non-Gaussian signals. The proposed approach, which is suitable for applications in arbitrary Gaussian noise environments, gives a closed-form representation of the estimated parameters, without spectral peak searching. An efficient method is also provided for elimination of cyclic phase ambiguities. Simulations are presented to show the performance of the algorithm.
机译:针对窄带非高斯信号,提出了一种基于四阶累积量和修整矢量传感器的均匀圆形阵列(UCA)的到达方向(DOA),频率和极化的联合估计算法。所提出的方法适用于任意高斯噪声环境,它给出了估计参数的封闭形式表示,而无需频谱峰值搜索。还提供了一种用于消除循环相位模糊性的有效方法。仿真结果表明了该算法的性能。

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