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 performance,a distributed detection algorithm is proposed on the basis of local soft decision.Then,an optimization problem on the basis of the distributed detection with local soft decision is derived and formulated,and a local soft decision 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 channels.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 quantization is conducted.