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作 者:潘秋甫 孙曼[1] 余小玲 Pan Qiufu;Sun Man;Yu Xiaoling(College of Electrical and Information Technology,Sichuan University,Chengdu 610065,Sichuan,China)
出 处:《计算机应用与软件》2022年第8期280-284,共5页Computer Applications and Software
基 金:中国博士后科学基金项目(2017M612958)。
摘 要:针对多重信号分类算法(multiple signal classification,MUSIC)在低信噪比、小快拍数或信源角度相近等复杂环境下波达方向(Direction of arrival,DOA)估计性能严重下降这一问题,提出一种新的基于谱函数二阶导数的DOA估计算法。利用MUSIC空间谱函数的二阶导数能在原始波达方向周围产生负峰值的特性,通过对二阶导数空间谱进行负峰值搜索实现DOA估计。实验结果表明,在低信噪比、小快拍数或信源角度接近的情况下,该方法能准确进行DOA估计,且性能明显优于经典MUSIC算法。The performance of direction of arrival(DOA)estimation in multiple signal classification(MUSIC)seriously declines in the complex environment such as low SNR,small snapshot,similar source angles.Therefore,we propose a novel DOA estimation method based on the second derivative of MUSIC spectrum.The second derivative of MUSIC spectrum made negative peaks around the original DOAs,and the DOA estimation was realized by searching for the negative peaks of the second derivative spatial spectrum.Experimental results show that the proposed algorithm can accurately estimate DOA under the condition of low SNR,small snapshot,and similar source angles,and the performance is obviously better than the classical MUSIC algorithm.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术] TN911[电子电信—通信与信息系统]
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