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DOA estimation using a sparse uniform linear array with two CW signals of co-prime frequencies

机译:使用稀疏均匀线性阵列和两个互质频率的CW信号进行DOA估计

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摘要

In this paper, we propose the use of a sparse uniform linear array to estimate the direction-of-arrival (DOA) of more sources than the number of sensors by exploiting two continuous wave signals whose frequencies satisfy a certain co-prime relationship. This extends the co-prime array and filter concept, which was developed in either the spectral or spatial domain, to a joint spatio-spectral domain, thereby achieving high flexibility in array structure design to meet the degrees-of-freedom and system complexity constraints. The DOA estimation is implemented in the difference co-array context to avoid spatial undersampling, and group sparsity based compressive sensing techniques are used to determine the direction of signal arrivals.
机译:在本文中,我们建议使用稀疏均匀线性阵列,通过利用两个频率满足一定互质关系的连续波信号,来估计比传感器数量更多的光源的到达方向(DOA)。这将在频谱或空间领域中开发的互质阵列和滤波器概念扩展到联合时空频谱域,从而在阵列结构设计中实现了高度灵活性,以满足自由度和系统复杂性的约束。 DOA估计是在差分协同阵列上下文中实现的,以避免空间欠采样,并且基于组稀疏性的压缩感测技术用于确定信号到达的方向。

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