Design of an Acoustic Target Intrusion Detection System Based on Small-Aperture Microphone Array
Automated surveillance of remote locations in a wireless sensor network is dominated by the detection algorithm because actual intrusions in such locations are a rare event. Therefore, a detection method with low power consumption is crucial for persistent surveillance to ensure longevity of the sen...
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doaj-b844e7a1640946e4bcf0c1cd0aa050f82020-11-24T21:32:58ZengMDPI AGSensors1424-82202017-03-0117351410.3390/s17030514s17030514Design of an Acoustic Target Intrusion Detection System Based on Small-Aperture Microphone ArrayXingshui Zu0Feng Guo1Jingchang Huang2Qin Zhao3Huawei Liu4Baoqing Li5Xiaobing Yuan6Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, ChinaScience and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, ChinaIBM-Research China Lab, Shanghai 201203, ChinaScience and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, ChinaScience and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, ChinaScience and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, ChinaScience and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, ChinaAutomated surveillance of remote locations in a wireless sensor network is dominated by the detection algorithm because actual intrusions in such locations are a rare event. Therefore, a detection method with low power consumption is crucial for persistent surveillance to ensure longevity of the sensor networks. A simple and effective two-stage algorithm composed of energy detector (ED) and delay detector (DD) with all its operations in time-domain using small-aperture microphone array (SAMA) is proposed. The algorithm analyzes the quite different velocities between wind noise and sound waves to improve the detection capability of ED in the surveillance area. Experiments in four different fields with three types of vehicles show that the algorithm is robust to wind noise and the probability of detection and false alarm are 96.67% and 2.857%, respectively.http://www.mdpi.com/1424-8220/17/3/514intrusion detectionsmall-aperture microphone arraywind noisetime delay estimationWSN |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xingshui Zu Feng Guo Jingchang Huang Qin Zhao Huawei Liu Baoqing Li Xiaobing Yuan |
spellingShingle |
Xingshui Zu Feng Guo Jingchang Huang Qin Zhao Huawei Liu Baoqing Li Xiaobing Yuan Design of an Acoustic Target Intrusion Detection System Based on Small-Aperture Microphone Array Sensors intrusion detection small-aperture microphone array wind noise time delay estimation WSN |
author_facet |
Xingshui Zu Feng Guo Jingchang Huang Qin Zhao Huawei Liu Baoqing Li Xiaobing Yuan |
author_sort |
Xingshui Zu |
title |
Design of an Acoustic Target Intrusion Detection System Based on Small-Aperture Microphone Array |
title_short |
Design of an Acoustic Target Intrusion Detection System Based on Small-Aperture Microphone Array |
title_full |
Design of an Acoustic Target Intrusion Detection System Based on Small-Aperture Microphone Array |
title_fullStr |
Design of an Acoustic Target Intrusion Detection System Based on Small-Aperture Microphone Array |
title_full_unstemmed |
Design of an Acoustic Target Intrusion Detection System Based on Small-Aperture Microphone Array |
title_sort |
design of an acoustic target intrusion detection system based on small-aperture microphone array |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2017-03-01 |
description |
Automated surveillance of remote locations in a wireless sensor network is dominated by the detection algorithm because actual intrusions in such locations are a rare event. Therefore, a detection method with low power consumption is crucial for persistent surveillance to ensure longevity of the sensor networks. A simple and effective two-stage algorithm composed of energy detector (ED) and delay detector (DD) with all its operations in time-domain using small-aperture microphone array (SAMA) is proposed. The algorithm analyzes the quite different velocities between wind noise and sound waves to improve the detection capability of ED in the surveillance area. Experiments in four different fields with three types of vehicles show that the algorithm is robust to wind noise and the probability of detection and false alarm are 96.67% and 2.857%, respectively. |
topic |
intrusion detection small-aperture microphone array wind noise time delay estimation WSN |
url |
http://www.mdpi.com/1424-8220/17/3/514 |
work_keys_str_mv |
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