Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion, Chongqing University, Chongqing 400044, P. R. China;School of Data Science, Tongren University, Tongren, Guizhou 554300, P. R. China 在期刊界中查找 在百度中查找 在本站中查找
Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion, Chongqing University, Chongqing 400044, P. R. China 在期刊界中查找 在百度中查找 在本站中查找
Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion, Chongqing University, Chongqing 400044, P. R. China 在期刊界中查找 在百度中查找 在本站中查找
Affiliation:
Fund Project:
摘要
|
图/表
|
访问统计
|
参考文献
|
相似文献
|
引证文献
|
资源附件
|
文章评论
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。
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.
