A cooperative target detection algorithm based on distributed sensor networks

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.