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Frame Detection of OFDM Signal with Periodic Preamble
周期前导结构OFDM帧信号的检测

Keywords: OFDM,Frame detection,Generalized log-likelihood ratio testing,CFAR,Generalized lambda distribution,Neyman-Pearson rule
OFDM
,帧检测,广义似然比检验,恒虚警,广义Lambda分布,Neyman-Pearson准则

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Abstract:

This paper deals with frame detection of OFDM signal with multiple-periodic preambles transmitted over frequency-selective channels and with existence of carrier frequency offset. Involving effect of AGC (Automatic Gala Control), frame detection can be taken as a hypothesis test model with unknown parameters. By applying generalized loglikelihood ratio testing to this model, a simple CFAR (Constant False-Alarm Rate) detector that is insensitive to frequency offset is derived. Parametric generalized lambda distribution is utilized to fit the statistical characteristic of detector when only noise exists, which is then used by Neyman-Pearson rule to determine decision threshold at given false alarm probability. Finally, computer simulations achieve detection performance of the obtained frame detector.

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