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作 者:Ying Liu Chi Xie Yourun Zhang
机构地区:[1]School of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China [2]Department of Mechanical Engineering, Jincheng College of Sichuan University, Chengdu, 611731, China [3]School of Microelectronics and Solid-State Electronics, University of Electronic Science and Technology of China
出 处:《China Communications》2017年第3期190-197,共8页中国通信(英文版)
基 金:supported by the Chinese Natural Science Foundation 61401075;Central University Business Fee ZYGX2015J106
摘 要:A theoretical relationship between the wavelet transform and the fast fourier transformation(FFT) methods in broadband wireless signal is proposed for solving the direction of arrivals(DOAs) estimation problem. This leads naturally to the derivation of minimum variance distortionless response(MVDR) algorithm, which combines the benefits of subspace methods with those of wavelet, and spatially smoothed versions are utilized which exhibits good performance against correlated signals. We test the method's performance by simulating and comparing the performance of proposed algorithm, FFT MVDR and MVDR with correlated signals, and an improved performance is obtained.A theoretical relationship between the wavelet transform and the fast fourier transformation(FFT) methods in broadband wireless signal is proposed for solving the direction of arrivals(DOAs) estimation problem. This leads naturally to the derivation of minimum variance distortionless response(MVDR) algorithm, which combines the benefits of subspace methods with those of wavelet, and spatially smoothed versions are utilized which exhibits good performance against correlated signals. We test the method's performance by simulating and comparing the performance of proposed algorithm, FFT MVDR and MVDR with correlated signals, and an improved performance is obtained.
关 键 词:array antenna broadband radio signal direction of arrival MVDR algorithm wavelet
分 类 号:TN911.23[电子电信—通信与信息系统]
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