PN code sequence estimation based on SOM neural network

  • Authors:

  • Zhao Chenglin;Cao Erhuang

  • Affiliations:

  • Key Lab of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China;Key Lab of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

To detect and estimate direct sequence spread spectrum (DSSS) signals in a non-cooperative scene, an novel algorithm based on the self organizing map (SOM) neural network is proposed in this paper. We demonstrate by simulation that this method can indeed well perform the PN sequence detection and estimation under a low signal to noise ratio (SNR), and it is much superior to any other traditional methods.