Antenna array doa estimation technique based on improving music algorithms

被引：0

作者：

Wang Fang ^{[1
,2
]}

Li Min ^{[1
,2
]}

Wang Hong ^{[1
,2
]}

Chen Lixia ^{[1
,2
]}

机构：

[1] Hebei Univ, Coll Elect & Informat Engn, Baoding, Peoples R China

[2] Key Lab Digital Med Engn Hebei Prov, Wuhan, Peoples R China

来源：

PROCEEDINGS OF THE FIFTH INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 AND 2 | 2014年

关键词：

Antenna Array; DOA; Subspace-based Algorithms; MUSIC;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For the disadvantages of subspace-based MUSIC (Multiple Signal Classification) algorithms and with the original algorithms in consideration, this paper puts forward advanced MUSIC algorithms. The algorithms can not only adapt to low signal-to-noise ratio (SNR), but also tell two strong coherent signals that differ in less angle differential. With SNR stable and by continuously narrowing the angle differential of two strong coherent signals, comparing the original and advanced MUSIC algorithms can lead to the largest value of recognizable angle differential.

引用

页码：468 / 474

页数：7

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