摘要
由于水声信道的时变性,水声信号分离后存在排序模糊性,限制了盲分离算法的应用。针对盲分离后信号存在排序模糊性的问题,提出了一种基于频谱相关的盲分离排序算法。根据水声环境中各信号的频谱差异,对分离后信号进行重新排序,来改善盲分离算法的排序模糊性。仿真实验表明,该算法可以有效消除分离信号的顺序不确定性,提高盲分离算法的性能。
Because the signal channel changes every minute, acoustic signals underwater have permutation inconsistency after separation, which limits the performance of blind source separation. To solve permutation problem, a method in blind source separation based on correlation of spectrum is presented. According to contrast of signals ＇ spectrum, signals are per- mutated in order to improve performance of blind source separation. The result shows that it is an effective method in eliminating the permutation inconsistency.
出处
《电声技术》
2012年第10期63-66,共4页
Audio Engineering
关键词
盲分离
排序模糊性
频谱相关
水声信号
blind source separation
permutation inconsistency
correlation of spectrum
acoustic signals underwater
