ArticleSensors (Basel, Switzerland)2017
Design of an Acoustic Target Intrusion Detection System Based on Small-Aperture Microphone Array.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Design of Planar Differential Microphone Array Beampatterns with Controllable Mainlobe Beamwidth and Sidelobe Level.Sensors (Basel, Switzerland) · 2023Article
- Acoustic Wake-Up Technology for Microsystems: A Review.Micromachines · 2023Review
- Article
- Use of Genetic Algorithms for Design an FPGA-Integrated Acoustic Camera.Sensors (Basel, Switzerland) · 2022Article
- Study of Generalized Phase Spectrum Time Delay Estimation Method for Source Positioning in Small Room Acoustic Environment.Sensors (Basel, Switzerland) · 2022Article
- A Robust Real Time Direction-of-Arrival Estimation Method for Sequential Movement Events of Vehicles.Sensors (Basel, Switzerland) · 2018Article
- An Acoustic Signal Enhancement Method Based on Independent Vector Analysis for Moving Target Classification in the Wild.Sensors (Basel, Switzerland) · 2017Article
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Authors and funding
7 authors.
Funding
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Abstract
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.
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Registered trials
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