机械与电子2017，Vol.35Issue(2)：36-40,50,6.
新自适应阈值的小波滤波在被动声源定位中应用
Application of Wavelet Filter with a New Adaptive Threshold in Passive Sound Source Localization
阚阅 1查富生 1王鹏飞 1李满天 1宋宝玉2
作者信息
- 1. 哈尔滨工业大学机器人研究所,黑龙江 哈尔滨 150001
- 2. 哈尔滨工业大学机械设计系,黑龙江 哈尔滨 150001
- 折叠
摘要
Abstract
In the field of passive sound source localization,the generalized cross-correlation(GCC)method is one of the most widely used methods.The GCC method based on the wavelet filter overcomes the limitations of the traditional GCC method which requires prior knowledge of signal and noise,and improves the localization accuracy of the non-stationary signal under the condition of correlated noise.A new adaptive threshold for wavelet threshold filter was proposed in this paper to achieve better denoising effect and improve the localization accuracy of the sound source based on the GCC method.Finally,the denoising effects of several adaptive thresholds were simulated to illustrate the superiority of the proposed adaptive threshold.Finally,the localization experiment results showed that the localization accuracy of passive sound source based on the wavelet filter with the proposed adaptive threshold was improved significantly.关键词
被动声源定位/广义互相关法/小波滤波/自适应阈值Key words
passive sound source localization/generalized cross-correlation method/wavelet filter/adaptive threshold分类
信息技术与安全科学引用本文复制引用
阚阅,查富生,王鹏飞,李满天,宋宝玉..新自适应阈值的小波滤波在被动声源定位中应用[J].机械与电子,2017,35(2):36-40,50,6.
