提出了一种基于Wi-Fi接口的数据分组检测算法,它在OFDM符号同步定时度量函数中采用一种新型归一化因子作为分母,与传统方法相比,该算法不仅有较高的检测概率,而且阈值的设置无需预先估计频偏。理论分析和仿真结果表明,在AWGN信道中,提出的算法使数据分组检测阈值设置更为灵活。此外,在多径Rayleigh衰落信道下,阈值可以直接根据相应AWGN信道的情形进行设置。%An efficient packet detection scheme based on Wi-Fi interface was proposed. It was implemented by employ-ing a novel normalized factor as a denominator in OFDM symbol synchronization-timing metric. Compared to the old-tradition schemes, the proposed scheme can not only obtain great detection probability, but also achieve the threshold setting without pre-estimation of frequency offset. Both theoretical analysis and conducted simulation results show that the new scheme facilitates threshold selection for a wide range of signal-to-noise ratio (SNR) in additive white Gaussian noise (AWGN) channel. Besides, the threshold setting in multi-path Rayleigh fading channels can be determined accord-ing to the AWGN case straight forwardly.
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