基于SIC的单通道同频混合信号低复杂度盲分离算法

Blind Separation Algorithm of Single-channel Co-frequency Signals with Low Complexity Based on SIC

  • 摘要: 针对非协作通信中单通道同频混合信号盲分离算法复杂度高的问题,本文在连续干扰抵消(Serial Interference Cancellation, SIC)算法基础上,构建了单通道同频混合信号的信道接收模型,提出了基于SIC的低复杂度盲分离算法。并对信道重构中的信道截断影响进行了处理,避免了分离性能的损失。仿真结果表明,QPSK调制方式下分离性能与已有算法性能相当,但复杂度降低了2/3,且算法对频偏误差不敏感。

     

    Abstract: Aimed at the high complexity problem of the single-channel co-frequency signals blind separation in non-cooperative communication, this paper based on the serial interference cancellation(SIC) algorithm, constructed single-channel co-frequency signals’ Channel receiver model, proposed a low complexity blind separation algorithm based on SIC, and processed the channel truncation in channel reconstruction, avoid the loss of separation performance. The simulation experiments show that the algorithm has similar performance with existing algorithms, but its complexity is reduced by two-thirds, and it is not sensitive to the frequency offset.

     

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