分布式无源检测系统中自适应检测融合

Adaptive Decision Fusion for Distributed Passive Detection System

针对在分布式多基地雷达无源检测系统中,检测概率通常未知或时变的信息不完全的检测融合问题,研究了一种在线自适应检测融合算法,该算法基于Neyman-Pearson准则,通过局部判决估计未知的每个接收站的检测概率,从而实现最优判决融合.计算机仿真结果说明了其有效性.

For decision fusion in a distributed passive detection system, the probabilities of detection of each receiver may be unknown or vary with time. An on-line adaptive decision fusion algorithm is presented. The algorithm is based on Neyman-Pearson criterion. The algorithm uses local decisions to estimate the unknown probabilities of the detection of each receiver to implement an optimal decision fusion. Computer simulation results demonstrate its feasibility and effectiveness.