节点文献
基于串行系统配置结构的分布式NEYMAN-PEARSON检测融合算法
Detection Fusion Algorithm for Distributed Neyman-Pearson Detection Systems with Serial Structures
【摘要】 研究采用串行系统配置结构的分布式检测融合系统。融合系统由 N部传感器构成。由于融合系统的检测性能由 N部传感器的判决规则共同决定 ,故为了使系统性能达到最优 ,需要联合设计各部传感器的最优判决规则。文中给出了融合系统检测性能最优化的必要条件 ,以及求解最优系统判决规则的数值迭代算法。采用该融合算法对分布式水声信号检测系统的性能进行优化 ,系统性能有明显提高
【Abstract】 This paper considers distributed detection systems with serial topological structures. The detection system consists of N sensors and the system performance is optimized using Neyman Pearson criterion. In order to optimize the system performance, the optimal sensor decision rules must be designed jointly. The necessary conditions for optimum detection for the distributed detection systems are derived, and a numerical iterative algorithm for obtaining the optimum sensor decision rules is presented. Using this detection fusion algorithm to optimize the performance of a distributed underwater signal detection system, the system performance can be improved significantly.
- 【文献出处】 探测与控制学报 ,Journal of Detection & Control , 编辑部邮箱 ,2002年03期
- 【分类号】TP212
- 【被引频次】6
- 【下载频次】112