A cooperative target detection algorithm based on distributed sensor networks
Tieliang Li, Yujia Sun, Jiyan Yu · 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC) · 2017
In order to deal with the problem that the detection performance of sensor networks is easily subject to environmental influence, here proposed is a cooperative target detection algorithm of multi-sensor nodes based on adaptive iterative threshold which lies on Neyman-Pearson (N-P) Criterion: Each sensor node makes a preliminary decision, and processes an adaptive iterative threshold according to the environmental noise; and the decision result and credibility value of each node will be sent to the fusion center to obtain optimal system decision on the basis of N-P Criterion; gradually, an cooperative target detection algorithm of sensor networks, which is adaptive to the environment, can be formed. Simulation results show that: under certain environmental noise, for each sensor node, the false alarm probability averagely decreases by 33.7% while the detection probability decreases by only 12.7% with the proposed algorithm, and also for the detection system, the detection probability averagely increases 5%-15% under a constant false alarm probability.