基于SOM网络的DSSS信号扩频序列估计

Estimation of DSSS Signals’PN Code Sequence Based on SOM Neural Network

针对直接序列扩频信号(DSSS)的检测与估计问题,本文提出了一种基于自组织(SOM)神经网络的DSSS信号伪码(PN)序列估计算法。计算机仿真和实验结果表明,该方法与传统的谱相关方法相比,能在较低的信噪比情况下很好的进行工作。

To the problem of detect and estimate direct sequence spread spectrum （DSSS） signals, an novel algorithm based on the self organizing map （SOM） neural network is proposed in this paper. We demonstrate by simulating that this method can indeed well perform the PN sequence detection and estimation under a low signal to noise ratio （SNR） compared with the traditional spectra methods.