作　　者： ; ; ; ;

机构地区： 哈尔滨工业大学

出　　处： 《通信学报》 2005年第10期149-154,共6页

摘　　要： 根据UWB信号的特性提出一种在低信噪比条件下实现快速捕获的新方法,即利用BP前向神经网络对极窄脉冲信号进行捕获,有效减少了在低信噪比条件下的平均捕获时间。其中着重分析了利用BP神经网络在低信噪比条件下检测窄脉冲信号的可行性以及接收信号的信噪比对检测的影响。并且对仿真出现的问题进行了分析,得出了一些有价值的结论。 A new method based on BP neural networks was proposed here to implement the fast acquisition of UWB signals with the condition of low SNR. The BP neural network was used to match the extreme short pulse in this study. It could improve the performance of the acquisition efficiently. The feasibility and efficiency of the new method were discussed. The influence of the SNR in UWB system was analyzed. The simulation results highly indicate the usefulness of the method pointed out in this study.

关 键 词： 脉冲 捕获 神经网络 信噪比

领　　域： [电子电信] [电子电信]