A new nonlinear decision feedback adaptive equalizer based on Adaline neural network and radial-basis-function neural network is presented. Its structure and algorithm are also investigated. For a typical linear and n...A new nonlinear decision feedback adaptive equalizer based on Adaline neural network and radial-basis-function neural network is presented. Its structure and algorithm are also investigated. For a typical linear and non-linear channel models, computer simulation shows that its convergence speed is faster and its stable mean square erroris less.展开更多
将被动时间反转镜(PTRM)技术与双向判决反馈均衡器(DFE)相结合,设计并实现了高可靠性的单载波水声通信解码方案。接收端采用PTRM压缩信道多途结构,聚焦信号能量;利用双向DFE将传统DFE和反向DFE输出结果合并,进一步降低错误判决的概率,...将被动时间反转镜(PTRM)技术与双向判决反馈均衡器(DFE)相结合,设计并实现了高可靠性的单载波水声通信解码方案。接收端采用PTRM压缩信道多途结构,聚焦信号能量;利用双向DFE将传统DFE和反向DFE输出结果合并,进一步降低错误判决的概率,提高系统稳健性。在时不变浅海水声信道环境中,开展的水声通信试验数据处理结果表明:与传统DFE相比,双向DFE能够获得一定的处理增益,5 km、7 km和10 km通信距离上的均衡后输出信噪比分别提高了2.74 d B、2.36 d B和1.54 d B,有效改善了解码性能。展开更多
文摘A new nonlinear decision feedback adaptive equalizer based on Adaline neural network and radial-basis-function neural network is presented. Its structure and algorithm are also investigated. For a typical linear and non-linear channel models, computer simulation shows that its convergence speed is faster and its stable mean square erroris less.
文摘将被动时间反转镜(PTRM)技术与双向判决反馈均衡器(DFE)相结合,设计并实现了高可靠性的单载波水声通信解码方案。接收端采用PTRM压缩信道多途结构,聚焦信号能量;利用双向DFE将传统DFE和反向DFE输出结果合并,进一步降低错误判决的概率,提高系统稳健性。在时不变浅海水声信道环境中,开展的水声通信试验数据处理结果表明:与传统DFE相比,双向DFE能够获得一定的处理增益,5 km、7 km和10 km通信距离上的均衡后输出信噪比分别提高了2.74 d B、2.36 d B和1.54 d B,有效改善了解码性能。
