Automated surveillance of remote locations in a wireless sensor network is dominated by\nthe detection algorithm because actual intrusions in such locations are a rare event. Therefore, a detection\nmethod with low power consumption is crucial for persistent surveillance to ensure longevity of\nthe sensor networks. A simple and effective two-stage algorithm composed of energy detector (ED)\nand delay detector (DD) with all its operations in time-domain using small-aperture microphone\narray (SAMA) is proposed. The algorithm analyzes the quite different velocities between wind noise\nand sound waves to improve the detection capability of ED in the surveillance area. Experiments in\nfour different fields with three types of vehicles show that the algorithm is robust to wind noise and\nthe probability of detection and false alarm are 96.67% and 2.857%, respectively
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