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DSSS Signal Parameter Detection and PN Sequence Estimation Based on SOFM Neural Network

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3 Author(s)
Cheng Hao ; Nat. Key Lab. of Commun., UESTC, Chengdu ; Guo Wei ; Yu Jingdong

Having not the a prior knowledge about the DSSS signal in the non-cooperation condition, we utilize a self-organizing feature map (SOFM) neural network algorithm to detection and identify the PN sequence. A new method that is suit DSSS signal is proposed according the Kohonen rule in SOFM theory. Utilizing the characteristic based on non-supervised learning rule, the blind algorithm can estimation the PN sequence in low SNR. The computer simulation and experiment test demonstrated that the algorithm is effective. Comparing the traditional slip-correlation method, the SOFM algorithm's BER and implementation complexity is lower

Published in:

ITS Telecommunications Proceedings, 2006 6th International Conference on

Date of Conference:

June 2006