【摘要】 针对如何减小干扰环境下各传感器状态的不确定性对融合检测性能的影响,文中提出一种自适应神经网络-模糊推理融合检测系统。该系统通过自适应地综合处理传感器状态和传感器检测性能信息得到可靠的融合检测结果。仿真结果表明,在干扰环境下新的融合检测系统要明显优于其它几种传统的融合检测方法。更多还原

【Abstract】 An adaptive neural networks - fuzzy reasoning fusion detection system that is employed to decrease the influence of the uncertainty of state of each sensor on performance of fusion detection under interference environment is presented. Using the new system, we can obtain reliable fusion detection by an adaptive synthetical processing of state and detection performance of each sensor. The simulation results show that the new fusion detection system is obviously advantageous compared with several conventional fusion detection methods.更多还原