A blind separation method of overlapped multi-components based on time varying AR model

• Published in: Science China. Information sciences Vol. 51; no. 1; pp. 81 - 92
• Main Authors: Cai, QuanWei, Wei, Ping, Xiao, XianCi
• Format: Journal Article
• Language: English
• Published: Beijing Science in China Press 2008; Springer Nature B.V
• Subjects: Algorithms; Basis functions; Computer Science; Information Systems and Communication Service; Mathematical models; Parameter estimation; Prolate spheroids; Separation; 单一渠道; 时间改变RA模型; 电子技术; time varying AR model; recursive algorithm; multi-components separation; time and frequency domains overlap; single channel
• ISSN: 1009-2757; 1674-733X; 1862-2836; 1869-1919
• DOI: 10.1007/s11432-008-0001-9

A method utilizing single channel recordings to blindly separate the multicomponents overlapped in time and frequency domains is proposed in this paper. Based on the time varying AR model, the instantaneous frequency and amplitude of each signal component are estimated respectively, thus the signal component separation is achieved. By using prolate spheroidal sequence as basis functions to expand the time varying parameters of the AR model, the method turns the problem of linear time varying parameters estimation to a linear time invariant parameter estimation problem, then the parameters are estimated by a recursive algorithm. The computation of this method is simple, and no prior knowledge of the signals is needed. Simulation results demonstrate validity and excellent performance of this method.