The single-channel blind source separation of paired carrier multiple access (PCMA) signal is a key technology in satellite communications. Due to the high-order complexity of existing separation methods and the uncertainty of channel parameters, the processing of noncooperative PCMA signals with long memory remains a great challenge. In this article, the blind separation was solved as the joint channel estimation and sequence detection, and a novel blind separation algorithm based on the improved quantum-inspired evolutionary algorithm (IQEA) and receding horizon optimization was proposed. Considering the practical scenarios, a mixed PCMA signal model with noninteger period sampling was presented in advance. Combined with the proposed signal model, the IQEA was applied to recover the uplink signals from the mixed PCMA signals by its iterative estimation. Meanwhile, to reduce the computational complexity caused by long memory of PCMA signals, the receding horizon optimization was introduced to process the whole signal sequence as a dynamic programming problem. The simulation results verified that the proposed RH-IQEA outperforms existing state-of-the-art separation algorithms in the blind separation of noncooperative PCMA signals, with higher accuracy, lower-order complexity and stronger robustness to parameter estimation errors.

中文翻译：

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基于改进的量子启发进化算法和后退视界优化的非合作配对载波多址信号盲分离

成对载波多址(PCMA)信号的单通道盲源分离是卫星通信中的一项关键技术。由于现有分离方法的高阶复杂性和通道参数的不确定性，长记忆的非合作PCMA信号的处理仍然是一个很大的挑战。本文将盲分离解决为联合信道估计和序列检测，提出了一种基于改进的量子启发进化算法（IQEA）和后退视界优化的盲分离算法。结合实际场景，提前提出了一种非整数周期采样的混合PCMA信号模型。结合所提出的信号模型，IQEA通过迭代估计从混合PCMA信号中恢复上行信号。同时，为降低PCMA信号长记忆带来的计算复杂度，引入后退层位优化，将整个信号序列作为一个动态规划问题进行处理。仿真结果验证了所提出的 RH-IQEA 在非合作 PCMA 信号的盲分离中优于现有的最先进的分离算法，具有更高的精度、更低的阶复杂度和更强的参数估计误差鲁棒性。