OFDM的带宽盲估计

Mingqian Liu, Bingbing Li
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引用次数: 2

摘要

传统的正交频分复用(OFDM)带宽估计方案在多径信道低信噪比的情况下无法获得准确的估计结果。此外,它还需要大量的计算。针对这些问题,提出了一种新的OFDM带宽估计方案。首先,利用Welch方法估计OFDM的功率谱。然后,通过经验模态分解(EMD)将频谱分解为多个本征模态函数(imf),并根据阈值选择合适的本征模态函数重构频谱。然后,在重构的频谱中提取脉冲的最大值和最小值的位置,作为频谱的开始和结束。最后,将计算出的带宽的统计平均值作为最终带宽。仿真结果表明,该方案在低信噪比的多径信道下具有较高的精度和较低的运算量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bandwidth blind estimation for OFDM
Traditional orthogonal frequency division multiplexing (OFDM) bandwidth estimation scheme can not acquire accurate estimation results in low signal to noise ratio (SNR) over multi-path channels. Besides, it acquires a great mount of computation. To deal with these problems, a novel bandwidth estimation scheme for OFDM is proposed. Firstly, the power spectrum of OFDM is estimated by the Welch method. And then, the spectrum is decomposed into many intrinsic mode functions (IMFs) by empirical mode decomposition (EMD) and the suitable IMFs are chosen according to the thresholds to reconstruct the spectrum. After that, the positions of the maximum and the minimum of the impulse are extracted in the reconstructed spectrum, which are used as the beginning and the end of the spectrum. Finally, the statistical average of the computed bandwidth is used as the final bandwidth. Simulation results show that the proposed scheme has higher precision and lower computation in low SNR over multi-path channels.
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