Title :
PN Code Sequence Estimation Based on SOM Neural Network
Author :
Chenglin Zhao ; Erhuang Cao
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
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.
Keywords :
pseudonoise codes; self-organising feature maps; signal detection; spread spectrum communication; PN code sequence estimation; direct sequence spread spectrum signal estimation; low signal to noise ratio; pseudonoise codes; self organizing map neural network; signal detection process; Artificial neural networks; Electronic mail; Fading; Layout; Neural networks; Organizing; Signal to noise ratio; Spread spectrum communication; Wireless communication; Wireless networks;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5302388
