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首页 > 过刊浏览>2021年第44卷第1期 >20-28. DOI:10.11835/j.issn.1000-582X.2021.01.003
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一种减小互耦的互素嵌套阵列及测向算法
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TN957

基金项目:

国家自然科学基金资助项目（51877015，U1831117）；贵州省科技厅联合基金资助项目（LH[2017]7320，LH[2017]7321）；贵州省教育厅科技拔尖人才资助项目（KY[2018]075）；贵州省教育厅重大资助项目（KY[2016]051）。


A co-prime nested array algorithm in reducing mutual coupling and DOA estimation
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    摘要:

    为了减小阵元之间的互耦效应，首先提出一种阵元间距可调节的互素嵌套阵列。这种阵列由2个不同的嵌套子阵列组成，2个子阵的最小阵元间距由一对互素的正整数确定。只要这对正整数足够大，2个子阵的最小阵元间距便可远超过入射信号的半个波长，从而将阵元间的互耦效应减小到可忽略的程度。然后，为了解决大间距阵列所引起的角度模糊问题，提出了一种基于四阶累积量的无模糊波达方向（DOA，direction of arrival）估计算法。仿真实验表明，此算法具有较好的估计性能，相比一些经典的自校正DOA估计算法，此算法具有更高的角度分辨力和估计精确度。

    Abstract:

    In order to reduce the mutual coupling between sensors, a kind of co-prime nested array with adjustable element spacing is proposed. The proposed array consists of two nested arrays with different element spacing and the smallest intervals of two sub-arrays are determined by two co-prime positive integers. As long as the positive integers are big enough, the smallest intervals of each sub-array can be far more than half the wave length of incident signal, hence the reduction of the mutual coupling effect between sensors to a negligible level. To eliminate the direction ambiguity caused by large element spacing, a direction of arrival (DOA) estimation algorithm based on fourth-order cumulants is proposed to get unambiguous direction estimation. Compared with some classical self-correcting methods, the proposed algorithm has a higher angle resolution and estimation precision. Simulation results have proved the improved performance of proposed algorithm.

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刘声,赵静,曹海林,田昌海,吴德成.一种减小互耦的互素嵌套阵列及测向算法[J].重庆大学学报,2021,44(1):20-28.

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  • 收稿日期:2020-06-12
  • 在线发布日期: 2021-01-08
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