一种基于迭代的多音干扰消除方案

发布时间：2018-06-02 09:07

本文选题：多音干扰识别 + 多音干扰消除　；参考：《北京航空航天大学学报》2017年03期

【摘要】：针对正交频分复用技术(OFDM)系统的多音干扰,本文提出先通过增加频域分辨率进行多音干扰识别,再基于迭代运算逐个对多个单音干扰进行参数估计、重构和消除的方案。其中,在多音干扰识别阶段,使用Zoom FFT技术以提高频域分辨率并简化计算复杂度。然而,Zoom FFT后的降采样序列点数不一定满足2的整数次幂,对于单音干扰参数估计,此时可采用经典的基于离散傅里叶变换(DFT)的最大似然参数估计(DFT-MLE),但当采样点数太大时,DFT运算将带来很大的实现复杂度。本文在基于DFT-MLE算法基础上给出一种基于快速傅里叶变换(FFT)的单音参数估计法FFT-MLE,不仅简化了运算复杂度,而且相比DFT-MLE其估计性能有更好的鲁棒性。最后的仿真结果说明了该多音干扰消除方案的有效性。
[Abstract]:Aiming at the multi-tone interference of OFDM (orthogonal Frequency Division Multiplexing) system, this paper proposes a scheme of multi-tone interference identification by increasing the resolution in frequency domain, and then estimating, reconstructing and eliminating multiple monophonic interference parameters one by one based on iterative operation. In the phase of multi-tone interference recognition, Zoom FFT technology is used to improve the resolution in frequency domain and simplify the computational complexity. However, the number of down-sampled sequence after Zoom FFT does not necessarily satisfy the integer power of 2. For the estimation of single tone interference parameters, In this case, the classical maximum likelihood parameter estimation based on discrete Fourier transform (DFT) can be used to estimate DFT-MLEA, but when the number of sampling points is too large, the DFT operation will bring a great deal of complexity. In this paper, based on the DFT-MLE algorithm, a new method of estimation of single tone parameters based on fast Fourier transform (FFT) is presented. It not only simplifies the computational complexity, but also has better robustness than that of DFT-MLE. Finally, the simulation results show the effectiveness of the scheme.
【作者单位】：北京航空航天大学电子信息工程学院;大唐电信科技产业集团;
【分类号】：TN929.53

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