Multi-sensor data fusion in wireless sensor network for target detection

Wireless sensor network has advantages of rapid deployment, self-organization, strong concealment, and high fault tolerance, etc. and it is very suitable for military reconnaissance. Considering the requirements of battlefield detection environment for men, gunmen and vehicles, a small-scale wireless sensor network(WSN) system is designed under laboratory conditions to simulate the target detection. According to the characteristics of different targets and zoning, the target feature extraction and detection methods are proposed for the signals of infrared sensors, magnetic sensors and sound sensors. A simple and efficient fixed threshold algorithm based on variance for infrared and magnetic resistance signals is put forward and a data fusion algorithm of D-S evidence theory is used to identify the targets. The binary detection algorithm of multi-sensor data fusion is presented for single target location and tracking. Finally, the experimental results have shown that the designed system can achieve reliable target detection, recognition, location and tracking in the laboratory.