基于双模型的OFDM鲁棒相位噪声补偿

I. Dagres, A. Polydoros, K. Nikitopoulos
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引用次数: 1

摘要

提出了一种低复杂度、决策导向的迭代方案,用于频率选择和平坦信道上OFDM调制中的严重相位噪声抑制。所提出的方法依赖于两个建模步骤:首先,在时域内建立替代模型;其次,一个最大似然(ML)启发的估计器,它包含了信噪比最大化的概念。结果表明,在可实现的错误率方面,该方案优于已经提出的方法,并且相对降低了复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Phase Noise Compensation in OFDM via a Dual-Model Approach
A low-complexity, decision-directed, iterative scheme is proposed for severe phase noise mitigation in OFDM modulation over frequency-selective as well as flat channels. The proposed approach relies on two modeling steps: first, an alternative model formulation in the time domain; second, a maximum likelihood (ML)-inspired estimator which incorporates SNR-maximizing concepts. The resulting scheme is shown to outperform already proposed approaches in terms of achievable error rate and to do so with comparatively reduced complexity.
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