直扩信号PN码序列估计的神经网络方法

Neural Networks Estimation Algorithm for PN Sequence of Direct Sequence Spread Spectrum Signals

为了解决通信侦察中低信噪比下直扩信号PN码序列的盲估计问题,分析了神经网络算法。该算法基于直扩通信的基带信号模型,通过对输入信号的主分量进行分析和提取,获取神经网络学习后的突触权值,进而估计出PN码序列。理论分析与仿真数值结果都表明,该算法在较低信噪比背景环境中,能够准确地恢复出PN码序列。

With focus on blind estimation algorithm for PN sequence of DS signals in communication at lower SNR, the neural networks algorithm is analyzed. Based on DS ,;ignal models, this algorithm uses principal component analysis and extraction of DS signals to get synaptic weights, and then estimates the PN sequence. Theoretical analysis and computer simulations show the algorithm has great efficiency.