CAJ | 학술논문

针对飞机驾驶舱话音记录器(CVR)中存在轻微时变特性和信号有大量近零值的情况,提出一种基于信号样本动态分段的在线盲分离算法.应用独立分量分析的在线算法对CVR混含信号进行动态分段处理,再通过快速的FastICA算法进行精确化求解.为了使估计器获得最佳性能,适当调整分离矩阵各行权值.仿真结果表明,该算法可有效地将CVR混合信号中独立的声音信号分离出来,分离效果优良.
침대비궤가사창화음기록기(CVR)중존재경미시변특성화신호유대량근령치적정황,제출일충기우신호양본동태분단적재선맹분리산법.응용독립분량분석적재선산법대CVR혼함신호진행동태분단처리,재통과쾌속적FastICA산법진행정학화구해.위료사고계기획득최가성능,괄당조정분리구진각행권치.방진결과표명,해산법가유효지장CVR혼합신호중독립적성음신호분리출래,분리효과우량.
Considering the existence of slight time-varying characteristics and a large number of near-zero signal values,we propose an online blind separation algorithm based on signal sample dynamic segmentation.The online algorithm of independent component analysis(ICA)is used to achieve dynamic segmentation.The FastICA algorithm is executed until converging to an optimal solution.To obtain better performance,weights of the rows in the separation matrix are adjusted.Simulation results show excellent performance of the proposed algorithm,indicating that the algorithm can effectively separate mixed acoustic signals recorded by CVR.