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Blind Joint Estimation for OFDM Time-Frequency Parameters

机译:OFDM时频参数的盲联合估计

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A novel blind joint estimation of orthogonal frequency division multiplexing (OFDM) time-frequency parameters is conceived in low signal-to-noise ratio (SNR) and multipath channel conditions. The oversampling factor is estimated by employing a new-designed cosine roll-off filter whose cut-off frequency is considered as the approximation of the sampling signal's spectrum. The useful data length is estimated by means of the improved varying time-delay autocorrelation, and its final estimated value is defined as a power of 2, which has the minimum Euclidean distance with the peak position. The estimated useful data length is further utilized to refine the previous estimation of the oversampling factor. The bandwidth of OFDM signals is estimated by adopting the spectrum approximation method based on the estimated time-parameters. The simulation results demonstrate that the proposed method is robust to noise and multipath channel conditions without any requirement of a prior knowledge.
机译:在低信噪比(SNR)和多径信道条件下,提出了一种新颖的正交频分复用(OFDM)时频参数盲联合估计方法。通过采用一种新设计的余弦滚降滤波器来估算过采样因子,该滤波器的截止频率被认为是采样信号频谱的近似值。有用的数据长度通过改进的可变时延自相关来估计,其最终估计值定义为2的幂,具有与峰值位置的最小欧几里德距离。估计的有用数据长度还用于完善过采样因子的先前估计。通过基于估计的时间参数的频谱近似方法来估计OFDM信号的带宽。仿真结果表明,该方法对噪声和多径信道条件具有鲁棒性,而无需任何先验知识。

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