基于K-means的ESPRIT估计宽带信号DOA

Geng Shibin, S. Changyu
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引用次数: 5

摘要

针对窄带信号的DOA估计问题,提出了一种基于旋转不变性的ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques)算法,该算法利用接收数据信号子空间的旋转不变性来估计DOA。但是ESPRIT算法不能直接用于宽带信号。基于K-means的ESPRIT算法将K-means算法引入到宽带信号处理中,使得ESPRIT算法可以直接用于估计宽带信号的DOA。该方法利用宽带信号的子带分解技术,利用ESPRIT方法估计各频段的DOA,最后利用K-means方法对各频段的结果进行聚类,得到宽带信号的DOA。基于K-means的ESPRIT算法不仅测量误差小,计算量少,而且可以在不知道信号先验知识的情况下估计出DOA。理论分析和仿真结果表明了该算法的程序有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The DOA of wideband signals estimation by using ESPRIT based on K-means
The ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) is proposed for estimating the DOA (Direction-Of-Arrival) of narrowband signal, which uses the rotation invariance of the received data's signal subspace to estimate the DOA. But the ESPRIT algorithm can't be directly used for the wideband signal. The ESPRIT algorithm based on K-means introduces K-means algorithm to the wideband signal processing, which makes the ESPRIT algorithm can be directly used for estimating the wideband signal DOA. This method takes advantage of sub-band decomposition technique in wideband signal, then estimates DOA in each band by using the ESPRIT method, and finally uses the K-means method to get the DOA of broadband signal by clustering the results of each band. The ESPRIT algorithm based on K-means not only has a small measure error and a small amount of computing but also could estimate the DOA without knowing the signal's prior knowledge. Theoretical analysis and simulation show that the procedural validity of the algorithm.
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