分离矩阵的步长自适应在线盲源分离算法
분리구진적보장자괄응재선맹원분리산법
Research of On-line BSS .Algorithm with Adaptive Step Length Based on Separating Matrix
  • 万方数据
    无线电工程 무선전공정
    RADIO ENGINEERING OF CHINA
    2012年 6期 28-31 ,共4页

    徐东辉%杨百龙%臧传收%李海龙%李钊

    서동휘%양백룡%장전수%리해룡%리쇠

    分离矩阵%变步长%自适应%盲源分离 分離矩陣%變步長%自適應%盲源分離
    분리구진%변보장%자괄응%맹원분리
    separating matrix%variable step length%adaptive%blind source separation
    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。
    분석료초정맹원분리중적자연제도산법최종불능은정수렴적원인，침대해결저일문제적방법중존재적불족진행료분석화연구。채용료일충기우분리구진적보장자괄응재선맹원분리산법，교호지실현료수렴속도여은태오차적최우결합。동시，재신호수궤감소혹증가시개진산법야능구체도교호적분리효과，방진결과험증료개진산법적수렴은정성여분리유효성。
    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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