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Single-Channel Blind Source Separation of Co-Frequency Overlapped GMSK Signals Under Constant-Modulus Constraints

机译:恒模约束下同频重叠GMSK信号的单通道盲源分离

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摘要

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.
机译:对于分量信号的调制参数相同或相似的单通道重叠信号,提取分量信号仍然是很大的挑战。针对此问题,针对重叠高斯最小频移键控(GMSK)信号,提出了一种由恒定模数约束的单通道盲源分离(SCBSS)算法,该算法也适用于其他具有恒定模数(CM)的重叠信号,例如二进制相移键控(BPSK)信号和正交相移键控(QPSK)信号。通过跟踪分量信号的通道,该算法可以有效地估计其符号序列。仿真结果表明,与竞争算法相比,该算法可以更鲁棒地工作,并且可以降低误帧率。

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