caa a22 4500 60620511X CHVBK 20210128101005.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00034-015-9998-3 doi (NATIONALLICENCE)springer-10.1007/s00034-015-9998-3 Maximization of Nonlinear Autocorrelation for Blind Source Separation of Non-stationary Complex Signals [Elektronische Daten] [Pengcheng Xu, Yuehong Shen, Wei Jian, Wei Zhao, Cheng Peng] Blind source separation of complex-valued signals has been a vital issue especially in the field of digital communication signal processing. This paper proposes a novel method based on nonlinear autocorrelation to solve the problem. Relying on the temporal structure with nonlinear autocorrelation of the signals, the method has a potential capability of extracting non-stationary complex sources with Gaussian or non-Gaussian distribution. Most traditional methods would fail in separating this kind of sources. We also analyze the stability conditions of the method in theory. Numerical simulations on artificial complex Gaussian data and orthogonal frequency division multiplexing sources corroborate the validity and efficiency of the proposed method. Moreover, with respect to classical methods, including cumulant-based approach using the non-stationarity of variance and complexity pursuit, our method offers equally good results with lower computational cost and better robustness. Finally, experiments for the separation of real communication signals illustrate that our method has good prospects in real-world applications. Springer Science+Business Media New York, 2015 Blind source separation nationallicence Complex-valued signals nationallicence Nonlinear autocorrelation nationallicence Gaussian distribution nationallicence Stability conditions nationallicence Xu Pengcheng College of Communications Engineering of PLA University of Science and Technology, Houbiaoying Road No.88, Qinhuai District, 210014, Nanjing, People's Republic of China aut Shen Yuehong College of Communications Engineering of PLA University of Science and Technology, Houbiaoying Road No.88, Qinhuai District, 210014, Nanjing, People's Republic of China aut Jian Wei College of Communications Engineering of PLA University of Science and Technology, Houbiaoying Road No.88, Qinhuai District, 210014, Nanjing, People's Republic of China aut Zhao Wei College of Communications Engineering of PLA University of Science and Technology, Houbiaoying Road No.88, Qinhuai District, 210014, Nanjing, People's Republic of China aut Peng Cheng College of Communications Engineering of PLA University of Science and Technology, Houbiaoying Road No.88, Qinhuai District, 210014, Nanjing, People's Republic of China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/9(2015-09-01), 3011-3029 0278-081X 34:9<3011 2015 34 34 https://doi.org/10.1007/s00034-015-9998-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-9998-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Xu Pengcheng College of Communications Engineering of PLA University of Science and Technology, Houbiaoying Road No.88, Qinhuai District, 210014, Nanjing, People's Republic of China aut NATIONALLICENCE 700 1- Shen Yuehong College of Communications Engineering of PLA University of Science and Technology, Houbiaoying Road No.88, Qinhuai District, 210014, Nanjing, People's Republic of China aut NATIONALLICENCE 700 1- Jian Wei College of Communications Engineering of PLA University of Science and Technology, Houbiaoying Road No.88, Qinhuai District, 210014, Nanjing, People's Republic of China aut NATIONALLICENCE 700 1- Zhao Wei College of Communications Engineering of PLA University of Science and Technology, Houbiaoying Road No.88, Qinhuai District, 210014, Nanjing, People's Republic of China aut NATIONALLICENCE 700 1- Peng Cheng College of Communications Engineering of PLA University of Science and Technology, Houbiaoying Road No.88, Qinhuai District, 210014, Nanjing, People's Republic of China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/9(2015-09-01), 3011-3029 0278-081X 34:9<3011 2015 34 34