High Accuracy Near-Field Localization Algorithm at Low SNR Using Fourth-Order Cumulant

被引:46
作者
Chen Guanghui [1 ]
Zeng Xiaoping [1 ,2 ]
Jiao Shuang [3 ]
Yu Anning [4 ]
Luo Qi [1 ]
机构
[1] Chongqing Univ, Coll Microelect & Commun Engn, Chongqing 400044, Peoples R China
[2] Chongqing Univ, Coll Microelect & Commun Engn, Chongqing Engn Lab High Performance Integrated Ci, Chongqing 400044, Peoples R China
[3] North China Univ Water Resources & Elect Power, Coll Elect Power, Zhengzhou 450045, Peoples R China
[4] Chongqing Univ Sci & Technol, Sch Intelligent Technol & Engn, Chongqing 401331, Peoples R China
关键词
Source localization; DOA; range; improved near-field MUSIC; FAR-FIELD;
D O I
10.1109/LCOMM.2019.2959576
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Source localization is a key technology in array signal processing. However, it has a serious problem that the direction of arrival (DOA) estimation accuracy is reduced at low signal-to-noise ratio (SNR). Thus, this Letter proposes an improved near-field multiple signal classification (INF-MUSIC) algorithm to improve DOA estimation accuracy at low SNR. Firstly, the fourth-order cumulant is used to construct a Hermitian matrix with only DOA information. Secondly, the spatial spectrum has physical property that is a breakpoint and approaches a larger value at the DOA, thus first derivative of spatial spectrum is used to improve DOA estimation accuracy at low SNR. Finally, the corresponding ranges are estimated one by one by the one-dimensional MUSIC algorithm. The simulation results show that the INF-MUSIC algorithm makes the DOA estimation accuracy improved by 2 degrees at low SNR.
引用
收藏
页码:553 / 557
页数:5
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