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Research on the Detection and Parameter Estmation for OFDM Signals in Multi-Puth Rayleigh Fading Channel

Author: YuanZeLin
Tutor: ZhangCuiFang
School: Southwest Jiaotong University
Course: Signal and Information Processing
Keywords: OFDM Signal Detection Parameter Estimation UC UCML
CLC: TN919.3
Type: Master's thesis
Year: 2011
Downloads: 159
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Abstract


As a key technology of the fourth-generation mobile communication, the OFDM technology received a widespread attention and study. Modulation signal recognition is an important branch in researches of the modern mobile communication. It requires us to detect the useful signal and estimate various modulation parameters in the complex wireless environment to provide the conditions for subsequent demodulation. Currently, the researches on these two directions are most under the gaussian channel, but the researches under Rayleigh fading channel environment are little rare and the effects are not well. Therefore, detection and parameters estimation of OFDM signal under Rayleigh fading channel are researched in this thesis. And the following respects are included in this thesis:1) The research status of detection and parameter estimation of OFDM signal are summarized respectively through reading many literatures, and the conclusion is that:Most current researches for these two aspects have good effects under gaussian channel, but have poor performances under Rayleigh fading channel。2) For this reason, the traditional detection algorithm based on cyclic prefix is improved in this thesis. The improved algorithm which is called Union Correlation(UC) use the sum of many OFDM symbols’correlations to detect the OFDM signal. Through computer simulation about OFDM signal detection based on UC, the conclusion is that the recognition rate can be more than 95% when SNR is lower than 2dB under Rayleigh fading channel. So the UC algorithm has a good performance under Rayleigh fading channel. The UC algorithm is also applied into the estimation of OFDM symbol rate and cyclic prefix length. Through simulation under Rayleigh fading channel, it is concluded that, the estimation MSE of UC algorithm is lower than traditional algorithm.3) After that, the UCML(Union Correlation Maximum Likelihood) algorithm which combine UC algorithm and ML algorithm is applied to the estimation of symbol timing and frequency offset of OFDM signal. Comparing to the traditional algorithm, the output of likelihood function of UCML algorithm has a more clearly peak to the benefit of drawing of symbol timing and frequency offset. So the algorithm has a better effect in Rayleigh fading channel. Through computer simulation about symbol timing and frequency offset estimation based on UCML algorithm, it is conclude that:comparing to the traditional algorithm, the output of likelihood function of UCML algorithm has more clearly peak. And that, the M is bigger, the peak is clearer, and the MSE of the symbol timing and frequency offset is lower.

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