利用频域检索的单音干扰消除算法

Single-tone Interference Cancellation Algorithm Using Frequency Domain Retrieval

  • 摘要: 在正交频分复用(OFDM,Orthogonal Frequency Division Multiplexing)系统中,当每次处理的OFDM符号较少时,OFDM数据子载波上的调制符号将严重影响单音干扰的参数估计。针对这个问题,本文提出一种利用频域检索的单音干扰消除算法。该算法首先利用离散傅里叶变换(DFT,Discrete Fourier Transform)粗估计单音干扰频点,然后通过检索干扰频点附近子载波的调制符号,消除其对单音干扰频域主瓣的影响,提高干扰参数估计精度,从而实现精确的单音干扰重构与消除。仿真结果表明,新算法可以有效地提高单音干扰参数估计精度,并可以降低OFDM系统误码率。

     

    Abstract: In the OFDM systems, the modulation symbols on the OFDM data subcarriers will seriously affect the parameter estimation of the single-tone interference when there are fewer OFDM symbols to be processed at a time. To solve this problem, this paper proposes a single-tone interference cancellation algorithm using frequency domain retrieval. This algorithm first uses DFT to estimate the single-tone interference frequency points, and then retrieves the modulation symbols of the subcarriers near the interfering frequency point to eliminate the influence on the main lobe of the single-tone interference in frequency domain. It improves the accuracy of interference parameters estimation and realizes accurate reconstruction and elimination of single-tone interference. The simulation results show that the new algorithm can effectively improve the estimation accuracy of the single-tone interference parameters and reduce the error rate of the OFDM systems.

     

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