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Single-channel blind separation of co-frequency PSK signals with unknown carrier frequency offsets

机译:载波频率偏移未知的同频PSK信号的单通道盲分离

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In this paper, the problem of single-channel blind source separation (SCBSS) of a mixture of two co-frequency phase-shift keying (PSK) signals with unknown carrier frequency offsets (CFOs) is investigated. Two SCBSS algorithms which are robust to CFOs are proposed to perform separation of the mixture signals. In the first algorithm, the phase changes of the received signals caused by CFOs are tracked when performing separation of the signals. In the second algorithm, the CFOs are estimated directly before separation by using the cyclostationary feature of the signal, and they are used as known values during the separation of the signals. Simulation results show that both of the two proposed algorithms lead to significant performance improvement as compared with that achieved by using the conventional SCBSS algorithm. When CFOs are small, the phase tracking based algorithm is preferred as it can achieve same performance as that achieved by using the cyclic-feature based algorithm, but with much lower complexity. When CFOs are big, the cyclic-feature based algorithm is a better choice because it can achieve much better performance than that achieved by using the phase tracking based algorithm.
机译:本文研究了带有未知载波频率偏移(CFO)的两个同频相移键控(PSK)信号的混合信号的单通道盲源分离(SCBSS)问题。提出了两种对CFO具有鲁棒性的SCBSS算法,以执行混合信号的分离。在第一种算法中,当执行信号分离时,将跟踪由CFO引起的接收信号的相位变化。在第二种算法中,通过使用信号的循环平稳特性,可以在分离之前直接估算CFO,并将它们用作信号分离过程中的已知值。仿真结果表明,与传统的SCBSS算法相比,这两种算法均显着提高了性能。当CFO较小时,首选基于相位跟踪的算法,因为它可以实现与使用基于循环特征的算法相同的性能,但复杂度要低得多。当CFO很大时,基于循环特征的算法是一个更好的选择,因为与使用基于相位跟踪的算法相比,基于循环特征的算法可以实现更好的性能。

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