Computer and Modernization ›› 2013, Vol. 1 ›› Issue (7): 98-100,.doi: 10.3969/j.issn.1006-2475.2013.07.026
• 人工智能 • Previous Articles Next Articles
CHEN Bao-shen
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Abstract: With the development of communication industry, the higher requests to adaptive array antenna filtering system is put forward. This paper first uses the rarefaction characteristics of compressive sensing technology to reduce the computational complexity of data, sends it to adaptive antenna filtering system to process, and then uses the reconstruction algorithm, SP algorithm (Subspace Matching Pursuit) to reconstruct signal. It can effectively reduce the computational complexity of adaptive array antenna filtering system and improve the data throughout of adaptive array antenna filtering system.
Key words: compressive sensing, LMS (Least Mean Square Error) algorithm, SP (Subspace Matching Pursuit) algorithm, adaptive array antenna filtering
CHEN Bao-shen. ]Research on Adaptive Array Antenna Filtering System Based on Compressive Sensing Technology[J]. Computer and Modernization, 2013, 1(7): 98-100,.
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URL: http://www.c-a-m.org.cn/EN/10.3969/j.issn.1006-2475.2013.07.026
http://www.c-a-m.org.cn/EN/Y2013/V1/I7/98