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.
基金
supported by the Chinese Natural Science Foundation 61401075
Central University Business Fee ZYGX2015J106
