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.
distributed sensor networks cooperative target detection adaptive iterative threshold
Tieliang Li Yujia Sun Jiyan Yu
School of Mechanical Engineering,Nanjing University of Science and Technology Nanjing,China
国际会议
重庆
英文
32-36
2017-10-03（万方平台首次上网日期，不代表论文的发表时间）