| 分离矩阵的步长自适应在线盲源分离算法 |
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| 引用本文： | 徐东辉,杨百龙,臧传收,李海龙,李钊.分离矩阵的步长自适应在线盲源分离算法[J].无线电工程,2012,42(6):28-31. |
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| 作者姓名： | 徐东辉 杨百龙 臧传收 李海龙 李钊 |
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| 作者单位： | 1. 第二炮工程学院,陕西西安,710025
2. 二炮驻石家庄地区军事代表室,河北石家庄,050002 |
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| 摘 要： | 分析了超定盲源分离中的自然梯度算法最终不能稳定收敛的原因,针对解决这一问题的方法中存在的不足进行了分析和研究。采用了一种基于分离矩阵的步长自适应在线盲源分离算法,较好地实现了收敛速度与稳态误差的最优结合。同时,在信号随机减少或增加时改进算法也能够达到较好的分离效果,仿真结果验证了改进算法的收敛稳定性与分离有效性。
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| 关 键 词： | 分离矩阵 变步长 自适应 盲源分离 |
Research of On-line BSS .Algorithm with Adaptive Step Length Based on Separating Matrix |
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| XU Dong-hui,YANG Bai-long,ZANG Chuan-shou,LI Hai-long,LI Zhao.Research of On-line BSS .Algorithm with Adaptive Step Length Based on Separating Matrix[J].Radio Engineering of China,2012,42(6):28-31. |
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| Authors: | XU Dong-hui YANG Bai-long ZANG Chuan-shou LI Hai-long LI Zhao |
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| Affiliation: | 1. The Second Artillery Engineering Institute, Xi＇an Shaanxi 710025, China ; 2. The Second Artillery Military Representative Office in Shijiazhuang, Shijiazhuang Hebei 050002, China) |
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| Abstract: | The paper analyzes first the reason that natural gradient algorithm of overdetermined BSS can not stably converge eventually. Then,the problems of exiting methods are analyzed and studied. Finally,the on-line BSS algorithm with adaptive step length based on separating matrix is presented to realize the optimum combination between convergence speed and steady-state error. At the same time,the algorithm can achieve a better separating result when the signal is randomly reduced or increased. The simulation result verifies the convergence stability and the separating effectiveness of the two improved algorithms. |
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| Keywords: | separating matrix variable step length adaptive blind source separation |
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