E-viri
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Cheng Hao; Guo Wei; Yu Jingdong
2006 6th International Conference on ITS Telecommunications, 2006-JuneConference Proceeding
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
