Title | ||
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Design of an Acoustic Target Intrusion Detection System Based on Small-Aperture Microphone Array. |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2017 | 10.3390/s17030514 | SENSORS |
Keywords | Field | DocType |
intrusion detection,small-aperture microphone array,wind noise,time delay estimation,WSN | Aperture,False alarm,Electronic engineering,Microphone array,Engineering,Detector,Wireless sensor network,Statistical power,Intrusion detection system,Power consumption | Journal |
Volume | Issue | Citations |
17 | 3 | 2 |
PageRank | References | Authors |
0.37 | 5 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xingshui Zu | 1 | 13 | 2.28 |
feng guo | 2 | 25 | 3.88 |
Jingchang Huang | 3 | 80 | 10.43 |
Qin Zhao | 4 | 25 | 6.84 |
Huawei Liu | 5 | 45 | 5.28 |
Baoqing Li | 6 | 114 | 20.13 |
Xiaobing Yuan | 7 | 36 | 7.46 |