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背景噪声消除以改进海牛发声的声学检测。

Background noise cancellation for improved acoustic detection of manatee vocalizations.

作者信息

Yan Zheng, Niezrecki Christopher, Beusse Diedrich O

机构信息

Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, Florida 32611-6250, USA.

出版信息

J Acoust Soc Am. 2005 Jun;117(6):3566-73. doi: 10.1121/1.1904385.

Abstract

The West Indian manatee (Trichechus manatus latirostris) has become endangered partly because of an increase in the number of collisions with boats. A device to alert boaters of the presence of manatees, so that a collision can be avoided, is desired. A practical implementation of the technology is dependent on the hydrophone spacing and range of detection. These parameters are primarily dependent on the manatee vocalization strength, the decay of the signal's strength with distance, and the background noise levels. An efficient method to extend the detection range by using background noise cancellation is proposed in this paper. An adaptive line enhancer (ALE) that can detect and track narrow band signals buried in broadband noise is implemented to cancel the background noise. The results indicate that the ALE algorithm can efficiently extract the manatee calls from the background noise. The improved signal-to-noise ratio of the signal can be used to extend the range of detection of manatee vocalizations and reduce the false alarm and missing detection rate in their natural habitat.

摘要

西印度海牛(Trichechus manatus latirostris)已濒临灭绝,部分原因是与船只碰撞的次数增加。人们希望有一种能提醒船员海牛存在的装置,以便避免碰撞。该技术的实际应用取决于水听器的间距和探测范围。这些参数主要取决于海牛发声的强度、信号强度随距离的衰减以及背景噪声水平。本文提出了一种利用背景噪声消除来扩展探测范围的有效方法。实现了一种能检测和跟踪埋在宽带噪声中的窄带信号的自适应线增强器(ALE),以消除背景噪声。结果表明,ALE算法能够有效地从背景噪声中提取海牛叫声。信号改善后的信噪比可用于扩展海牛发声的探测范围,并降低其自然栖息地中的误报率和漏检率。

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