Spatial evolutionary spectrum and beamspace MUSIC for high-speed DOA estimation
被引:0
作者:
Wang, L
论文数: 0引用数: 0
h-index: 0
机构:
Univ Elect Sci & Technol China, Coll Elect Engn, Chengdu 610054, Peoples R ChinaUniv Elect Sci & Technol China, Coll Elect Engn, Chengdu 610054, Peoples R China
Wang, L
[1
]
Chen, TQ
论文数: 0引用数: 0
h-index: 0
机构:
Univ Elect Sci & Technol China, Coll Elect Engn, Chengdu 610054, Peoples R ChinaUniv Elect Sci & Technol China, Coll Elect Engn, Chengdu 610054, Peoples R China
Chen, TQ
[1
]
机构:
[1] Univ Elect Sci & Technol China, Coll Elect Engn, Chengdu 610054, Peoples R China
来源:
2004 INTERNATIONAL CONFERENCE ON COMMUNICATION, CIRCUITS, AND SYSTEMS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS - VOL 2: SIGNAL PROCESSING, CIRCUITS AND SYSTEMS
|
2004年
关键词:
spatial evolutionary spectrum;
beamspace;
MUSIC;
DOA estimation;
D O I:
10.1109/ICCCAS.2004.1346324
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
In this paper, we combine the concepts of evolutionary spectrum and array processing and sent a high-speed method to estimate the direction-of-arrival (DOA) of nonstationary signals with the theories of cross-power evolutionary periodogram (CEP) and beamforming. The proposed method implements three-step DOA estimation. First, we estimate the cross-power evolutionary of the sensor array using the minimizing mean-squared error. Second, estimate the DOA using the beamspace MUSIC method roughly. And last, accurately estimate the DOA with the result of coarse estimation.