基于改进Viterbi和Viterbi (MVAV)算法的盲载波频偏估计

S. Nidhiry, K. V. Babu, G. R. Reddy
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引用次数: 0

摘要

最新的无线标准有望提供非常高的数据速率。他们使用OFDM进行高数据速率通信。OFDM严重受到载波间干扰(ICI)问题的困扰。本文提出了一种减少ICI和提高吞吐量的通用解决方案。提出了一种利用Viterbi和Viterbi (VAV)算法估计正交频分复用系统CFO的新方法。该方法是盲的,具有较低的复杂度和较大的CFO估计范围。估计范围主要取决于星座可能的最大相位角数。本文从符号误差概率(PSE)与信噪比的角度分析了该算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind carrier frequency offset (CFO) estimation using modified Viterbi and Viterbi (MVAV) algorithm
Recent wireless standards are expected to offer very high data rate. They use OFDM for high data rate communication. OFDM severely suffers by Inter Carrier Interference (ICI) problems. A common solution for ICI reduction and throughput improvement has been proposed in this paper. This paper presents a novel technique to estimate CFO in Orthogonal Frequency Division Multiplexing systems using Viterbi and Viterbi (VAV) algorithm. The proposed method is blind with less complexity and more CFO estimation range. The estimation range mainly depends on the maximum number of phase angles possible for the constellation. In this paper the performance of the proposed algorithm is analyzed in terms of Probability of Symbol Error (PSE) versus SNR.
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