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作 者:付卫红[1] 赵祎晨 FU Weihong;ZHAO Yichen(School of Telecommunications Engineering,Xidian University,Xi’an,Shaanxi 710071,China)
机构地区:[1]西安电子科技大学通信工程学院,陕西西安710071
出 处:《信号处理》2023年第2期335-342,共8页Journal of Signal Processing
基 金:国家自然科学基金(61876143)。
摘 要:卷积混合盲源分离可以在频域得到有效解决,但频域盲分离必须要解决排序模糊性问题。本文提出了一种基于性能权重聚类的频域盲分离排序算法,该算法利用聚类来得到顺序参考,对各频点上分离信号的准确性进行计算,根据分离结果的准确性予以不同频点不同的聚类权重,从而提高聚类结果的可靠性。通过对频点进行分段处理可以有效抑制排序错误的传播,提高算法性能。最后通过多组仿真实验验证了基于性能权重聚类的频域盲分离排序算法的普适性与性能上的优越性,同时也探究了接收端个数对算法性能的影响。仿真结果表明本文提出的基于性能权重聚类的频域盲分离排序算法相较于传统的幅度相关性排序算法在信干比上会有2 dB左右的提升。接收天线数越多,算法分离性能越好。Although blind source separation of convolutive mixtures can be efficiently solved in the frequency domain,the problem of permutation ambiguity must be solved.A frequency domain blind separation permutation algorithm based on performance weight clustering was proposed in this paper.The algorithm used clustering to obtain the permutation reference,and calculated the accuracy of the separated signals on each frequency bin.According to the accuracy of the separation results,different frequency bins were given different clustering weights,thereby improving the reliability of the clustering results.By segmenting the frequency bins,the propagation of errors could be effectively suppressed and the performance of the algorithm was improved.Finally,several groups of simulation experiments verified the universality and performance superiority of the frequency domain blind separation permutation algorithm based on performance weight clustering,and the influence of the number of receivers on the performance of the algorithm was explored.The simulation results showed that the frequency domain blind separation sorting algorithm based on performance weight clustering can improve the signal-to-interference ratio by about 2 dB compared with the traditional amplitude correlation sorting algorithm.The more receiving antennas,the better separation performance of the algorithm.
分 类 号:TN914[电子电信—通信与信息系统]
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