摘要
针对探测器在目标探测中由于受噪声及杂波的影响,可能导致误判的问题,提出了基于判决模糊化的分布式融合探测算法。该算法将局部探测器的局部判决模糊化后送至融合中心,融合中心将模糊化后的全局判决去模糊后与门限比较,得到全局判决。仿真结果表明,无论在低信噪比条件下还是一般信噪比条件下,该融合算法都显著地提高了系统的探测概率。
Aiming at the influence of noise and clutter in target detection,which probably results in a wrong decision.A distributed fusion detection algorism bases on fuzzed decision was put forward.In this algorism,local decisions were fuzzed and sent to fusion center to get global decision.The method of fuzzing decisions,the choice of local sensors＇ fusion weight and defuzzing method of fusion center were indicated.Simulation results showed that it could enhance system detection performance,which had a certain degree of availability and practicability.
出处
《探测与控制学报》
CSCD
北大核心
2015年第1期45-49,共5页
Journal of Detection & Control
关键词
分布式探测
模糊化
融合探测
多探测器
distributed detection
fuzzify
fusion detection
multi-sensors
