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作 者:Yan Jing Naizhang Feng Yi Shen
机构地区:[1]School of Astronautics,Harbin Institute of Technology [2]School of Information and Electrical Engineering, Harbin Institute of Technology in Weihai
出 处:《Journal of Systems Engineering and Electronics》2014年第5期755-760,共6页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China(61171197;61371045;61201307);the Shandong Provincial Natural Science Foundation(ZR2011FM005);the Shandong Provincial Promotive Research Fund for Excellent Young and Middle-aged Scientists(BS2010DX001)
摘 要:This paper addresses the issue of the direction of arrival (DOA) estimation under the compressive sampling (CS) framework. A novel approach, modified multiple signal classification (MMUSIC) based on the CS array (CSA-MMUSIC), is proposed to resolve the DOA estimation of correlated signals and two closely adjacent signals. By using two random CS matrices, a large size array is compressed into a small size array, which effectively reduces the number of the front end circuit. The theoretical analysis demonstrates that the proposed approach has the advantages of low computational complexity and hardware structure compared to other MMUSIC approaches. Simulation results show that CSAMMUSIC can possess similar angular resolution as MMUSIC.This paper addresses the issue of the direction of arrival (DOA) estimation under the compressive sampling (CS) framework. A novel approach, modified multiple signal classification (MMUSIC) based on the CS array (CSA-MMUSIC), is proposed to resolve the DOA estimation of correlated signals and two closely adjacent signals. By using two random CS matrices, a large size array is compressed into a small size array, which effectively reduces the number of the front end circuit. The theoretical analysis demonstrates that the proposed approach has the advantages of low computational complexity and hardware structure compared to other MMUSIC approaches. Simulation results show that CSAMMUSIC can possess similar angular resolution as MMUSIC.
关 键 词:direction of arrival (DOA) compressive sampling array (CSA) modified multiple signal classification (MMUSIC) correlated signal.
分 类 号:TN911.7[电子电信—通信与信息系统] TN957.51[电子电信—信息与通信工程]
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