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DOA Estimation of Coherent Signals on Coprime Arrays Exploiting Fourth-Order Cumulants

机译:互联网阵列相干信号的DOa估计   四阶累积量

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摘要

This paper considers the problem of direction-of-arrival (DOA) estimation ofcoherent signals on passive coprime arrays, where we resort to the fourth-ordercumulants of the received signal to explore more information. A fourth-ordercumulant matrix (FCM) is introduced for the coprime arrays. The specialstructure of the FCM is combined with the array configuration to resolve thecoherent signals. Since each sparse array of the coprime arrays is uniform, aseries of overlapping identical subarrays can be extracted. Using thisproperty, we propose a generalized spatial smoothing scheme applied to the FCM.From the smoothed FCM, the DOAs of both the coherent and independent signalscan be successfully estimated on the pseudo-spectrum generated by thefourth-order MUSIC algorithm. To overcome the problem of occasional false peakappearing on the pseudo-spectrum, we use a supplementary sparse array whoseinter-sensor spacing is coprime to that of either existing sparse array. Fromthe combined spectrum aided by the supplementary sensors, the false peaks areremoved while the true peaks remain. The effectiveness of the proposed methodsis demonstrated by simulation examples.
机译:本文考虑了无源共质数阵列上相干信号的到达方向(DOA)估计问题,在这里我们借助接收信号的四阶累积量来探索更多信息。引入了四阶累积量矩阵(FCM)用于互素数组。 FCM的特殊结构与阵列配置相结合以解析相干信号。由于共质数数组的每个稀疏数组是统一的,因此可以提取一系列重叠的相同子数组。利用这一特性,我们提出了一种适用于FCM的广义空间平滑方案。从平滑的FCM上,可以成功地估计四阶MUSIC算法生成的伪频谱的相干信号和独立信号的DOA。为了克服伪频谱上偶尔出现虚假峰的问题,我们使用了一个补充的稀疏阵列,其传感器间的间距与任何一个现有稀疏阵列的间距都互质。在辅助传感器的帮助下,从组合光谱中去除了假峰,而保留了真峰。仿真实例证明了所提出方法的有效性。

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