摘要
为在保证一定检测性能的前提下有效地降低所需传输的数据量,文中提出了一种基于局部软决策的分布式检测算法,推导并构造了基于局部软决策分布式检测的优化问题,求解得到使系统检测性能达到最优的局部软决策方案;将文中方案与均匀量化方案、未量化方案进行对比,分析了在理想/非理想信道条件下检测性能的优劣.实验结果表明:文中提出的算法性能优于基于均匀量化的分布式检测算法;当量化深度为3时,系统的检测性能十分接近未量化方案的检测性能.
In order to reduce the size of transmitted data on the premise of retaining a certain detection perfor-mance, a distributed detection algorithm is proposed on the basis of local soft decision.Then, an optimization prob-lem on the basis of the distributed detection with local soft decision is derived and formulated, and a local soft deci-sion scheme for achieving the optimum detection performance is obtained by utilizing the routine method to solve the optimization problem.Finally, the detection performance of the proposed algorithm is verified by a simulation and is compared with that of the algorithm with uniform quantization or without quantization in the ideal/imperfect chan-nels.Numerical results demonstrate that, in terms of detection performance, the proposed algorithm outperforms the algorithm with uniform quantization, and is very close to the algorithm without quantization when a 3-bit quantiza-tion is conducted.
出处
《华南理工大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2016年第1期16-21,共6页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(61271263
61101141)~~
关键词
无线传感器网络
分布式检测
软决策
广义似然比检验
wireless sensor networks
distributed detection
soft decision
generalized likelihood ratio test