Title: Single-Channel Blind Source Separation of Co-Frequency Overlapped GMSK Signals Under Constant-Modulus Constraints
Abstract: As for the single-channel overlapped signals, in which the modulation parameters of the component signals are identical or similar, it is still a great challenge to extract the component signals. Aiming at this problem, a single-channel blind source separation (SCBSS) algorithm, constrained by constant modulus, is proposed for the overlapped Gaussian minimum shift keying (GMSK) signals and this algorithm also applies to other overlapped signals with constant modulus (CM), such as binary phase shift keying (BPSK) signals and quadrature phase shift keying(QPSK) signals. By tracking the channels of the component signals, the algorithm can effectively estimate their symbol sequences. Simulation results show that the proposed algorithm can work more robustly and reduce the frame error rate (FER), comparing with the competing algorithms.
Publication Year: 2016
Publication Date: 2016-03-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 28
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot