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由于多输入多输出-正交频分复用(MIMO-OFDM)系统对频偏很敏感,很小的频偏就能引起系统性能的大幅下降。为了提高MIMO-OFDM系统频偏估计的精度和频谱的利用率,采用一种基于新训练序列的小数倍频偏估计算法。该算法利用构造的新训练序列获得比传统算法更精准的频偏估计,可有效地对小数倍频偏进行估计,同时提出的算法减少训练序列的数量,提高系统频谱利用率。仿真结果表明,在加性高斯白噪声信道环境下,所提出的方法在载波频偏估计中能有很好的性能。
Due to the sensitivity of the system to multiple-input multiple-output-orthogonal frequency division multiplexing (MIMO-OFDM), very small frequency offsets can cause significant performance degradation. In order to improve the accuracy of frequency offset estimation and spectrum utilization in MIMO-OFDM systems, a new algorithm based on the new training sequence fractional frequency offset estimation is proposed. This algorithm uses the constructed new training sequence to get a more accurate frequency offset estimation than the traditional one, which can effectively estimate the fractional frequency offset. At the same time, the proposed algorithm reduces the number of training sequences and improves the system spectrum utilization rate. The simulation results show that the proposed method has good performance in carrier frequency offset estimation in additive white Gaussian noise environment.