华东师范大学学报(自然科学版) ›› 2007, Vol. 2007 ›› Issue (5): 113-117.

• 物理学 电子学 • 上一篇    下一篇

基于NLMS的AEDA声源估计优化算法

陆静艳, 朱守正
  

  1. 华东师范大学 电子科学技术系, 上海 200062
  • 收稿日期:2006-09-05 修回日期:2009-09-27 出版日期:2007-09-25 发布日期:2007-09-25
  • 通讯作者: 朱守正

NLMSBased AEDA Algorithm for Sound Source Localization(Chinese)

LU Jing-yan, ZHU Shou-zheng   

  1. Department of Electronics and Technology, East China Normal University, Shanghai 200062, China
  • Received:2006-09-05 Revised:2009-09-27 Online:2007-09-25 Published:2007-09-25
  • Contact: ZHU Shou-zheng

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摘要： 针对传统的自适应特征值分解(AEDA)的延估计算法收敛时间慢的问题,提出一种改进的AEDA自适应算法,该方法将归一化最小均方法与AEDA相结合,加快了收敛速度,使其可应用于信号的实时处理.实验结果证明,在真实声场中,该算法能够用于声源定位.

关键词: 麦克风阵列, 声源定位, 声音数字信号处理, AEDA算法, NLMS算法, 麦克风阵列, 声源定位, 声音数字信号处理, AEDA算法, NLMS算法

Abstract: To speed conventional Adaptive Eigenvalue Deposition Algorithm (AEDA), an NLMSbased optimized AEDA algorithm was proposed.It gives better performance for convergence,which makes it possible for realtime applications.Experimental results showed that this method can work well in sound source localization.

Key words: sound localization, acoustic digital signal process, AEDA, NLMS, microphone array, sound localization, acoustic digital signal process, AEDA, NLMS

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