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针对单通道同调制方式、同调制参数时频重叠信号的盲分离问题,基于MSK信号的恒模特性,及对MSK混合信号分量幅度的准确估计,构建了单通道信号盲分离欠定方程组.为解决该方程组的解模糊问题,根据MSK信号相位连续特性,提出了相位方差最小模糊解消除准则.但相位对噪声较为敏感,该准则可能会产生严重的误判现象,又提出了一种基于最小斜率的补充准则.基于以上两种模糊解消除准则,可对单通道信号盲分离欠定方程组的模糊解进行合理选择,有效地实现了MSK时频重叠信号的单通道盲分离.仿真结果表明:在信噪比大于5 dB的条件下,该算法对混合信号具有较好的分离效果.并且该算法具有复杂度低、计算量小的优点.
Aiming at the problem of blind separation of time-frequency overlapping signals with the same modulation parameters in single-channel co-modulation scheme, a single channel signal blind separation underdetermined equations is constructed based on the constant mode characteristics of MSK signals and the accurate estimation of MSK mixed signal amplitude. In order to solve the problem of the ambiguity of the system of equations, the criterion of minimum ambiguity of phase variance is proposed according to the phase continuous characteristic of MSK signal, but the phase is sensitive to noise, which may lead to serious misjudgment and propose a Based on the minimum slope of the complementary criteria.Based on the above two kinds of fuzzy cancellation criteria, the single-channel signal blind separation of the system of indeterminate equations of the fuzzy solution to choose a reasonable and effective MSK time-frequency signal overlapped blind single-channel simulation. The results show that the proposed algorithm has a good separation effect on the mixed signal when the signal-to-noise ratio is more than 5 dB, and the algorithm has the advantages of low complexity and small computation.