A Widely-Linear LMS Algorithm for Adaptive Beamformer
作者： Qu JinYou , Zhang JianYun , Zhang Xin'an
DOI: 10.1109/MAPE.2007.4393451
关键词: Array data structure 、 Linear model 、 Adaptive beamformer 、 Control theory 、 Signal 、 Beamforming 、 Mathematics 、 Phase-shift keying 、 Least mean squares filter
摘要: A novel adaptive Array structure using widely-linear weight is proposed in this paper. MMSE law used to evaluate the performance of array. According structure, LMS algorithm (WL-LMS) here, which uses model received signal rather than linear estimating desired signal. This provides a unified framework for beamforming circular and non-circular sources, can get much less between output has been tested BPSK narrow-band FM
sci-hub.se 参考文章(4)
B. Picinbono, P. Chevalier, Widely linear estimation with complex data IEEE Transactions on Signal Processing. ,vol. 43, pp. 2030- 2033 ,(1995) , 10.1109/78.403373
F.D. Neeser, J.L. Massey, Proper complex random processes with applications to information theory IEEE Transactions on Information Theory. ,vol. 39, pp. 1293- 1302 ,(1993) , 10.1109/18.243446
B. Picinbono, P. Bondon, Second-order statistics of complex signals IEEE Transactions on Signal Processing. ,vol. 45, pp. 411- 420 ,(1997) , 10.1109/78.554305
P.J. Schreier, L.L. Scharf, C.T. Mullis, Detection and estimation of improper complex random signals IEEE Transactions on Information Theory. ,vol. 51, pp. 306- 312 ,(2005) , 10.1109/TIT.2004.839538