High resolution 2-D DOA estimation using second-order partial-differential of MUSIC spectrum
High resolution 2-D DOA estimation using second-order partial-differential of MUSIC spectrum
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DOI：
10.1109/iscas.2008.4541627
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发表时间：
2008-05
期刊：
影响因子：
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通讯作者：
K. Ichige;Y. Ishikawa;H. Arai
中科院分区：
文献类型：
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作者：
K. Ichige;Y. Ishikawa;H. Arai
提出了一种基于MUSIC谱二阶偏微分的高分辨率二维波达方向(DOA)估计方法。多信号分类(MUSIC)方法作为超分辨DOA估计方法之一，因其卓越的特性而备受关注，但MUSIC在低信噪比、少快拍、近距离入射等恶劣环境下也存在估计精度问题。针对MUSIC谱的二阶微分在原DOA附近产生峰值的特点，提出了一种利用MUSIC谱的二阶微分来精确估计一维DOA的方法。在本文中，我们发展了以前的一维二阶微分方法，以对应于二维DOA估计问题，并看看它是否也适用于更高维的情况。通过计算机仿真，与二维MUSIC方法进行了比较，评价了该方法的性能。
This paper presents a simple but high resolution two-dimensional (2-D) direction-of-arrival (DOA) estimation method using second-order partial-differential of MUSIC spectrum. Multiple signal classification (MUSIC) method is paid attention as one of "superresolution" DOA estimation methods because of their brilliant characteristics, however MUSIC also has the problem of estimation accuracy in severe environments like low SNR, small number of snapshots, or incident waves from close angles. Paying attention to the fact that the second-order differential of MUSIC spectrum makes peaks around the original DOAs even when MUSIC spectrum does not make peaks there, we have already presented an accurate one-dimensional (1-D) DOA estimation method that employs the second-order differential of the MUSIC spectrum. In this paper, we develop the previous 1-D second-order differential approach to correspond to 2-D DOA estimation problem and see if it also works for higher dimensional case. The performance of the present method is evaluated in comparison with 2-D MUSIC method through computer simulation.