摘要
针对传统多重信号分类(multiple signal classification,MUSIC)算法在低信噪比(signal noise ratio,SNR)、小快拍数或是信号源相近等复杂信号环境下分辨率严重下降这一问题,提出了一种改进的MUSIC算法。通过对空间谱函数求二阶导数,可以在波达方向(direction of arrival,DOA)附近形成尖锐的负向谱峰。计算机仿真试验表明,与传统MUSIC算法相比,新方法在低SNR、小快拍数下对空间分布很近的信号有更好的分辨率。
Although the multiple signal classification（MUSIC） algorithm which is based on the concept of subspace has excellent performance,the resolution ability decreases in direction of arrival（DOA） estimation under severe environments like low signal noise ratio（SNR）,small number of snapshots,or incident waves from close angles.Focusing on this problem,a super resolution estimation method is proposed.After calculating the second derivative of MUSIC spectrum,some negative peaks are shown around the original DOAs while MUISC spectrum does not make peaks there.Compared with the classical MUSIC algorithm,the new method can get better resolution performance for separating closely spaced sources in difficult contexts such as low SNR and small number of snapshots.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2011年第7期1433-1437,共5页
Systems Engineering and Electronics
基金
黑龙江省教育厅科学技术研究项目(11544025)资助课题
关键词
波达方向
多重信号分类
分辨率
二阶导数
direction of arrival（DOA）
multiple signal classification（MUSIC）
resolution
second derivative
