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基于可变遗忘因子在OFDM系统的载波频偏估计

Carrier Frequency Offset Estimation for OFDM Systems Based on Variable Forgetting Factor
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摘要 在时变信道下正交频分复用(OFDM)系统中,通过导频辅助,提出基于可变遗忘因子RLS(VFF-RLS)的载波频偏(CFO)估计改进算法。针对传统RLS(CFF-RLS)算法中遗忘因子无法同时满足CFO估计收敛速度和收敛精度的缺陷,设计了线性变化遗忘因子(LFF)和非线性变化遗忘因子(NLFF)两种可变遗忘因子方案来提升CFO估计性能。仿真结果显示:在低信噪比的情形下,基于VFF-RLS算法的CFO估计性能明显优于基于CFF-RLS算法的CFO估计性能。 In orthogonal frequency division multiplexing (OFDM) systems over time-varying multipath channel, the improved pilot-aided carrier fre- quency offset (CFO) estimation algorithm based on variable forgetting factor RLS (VFF-RIS) is proposed. Aiming at the defect of constant forgetting factor in traditional RLS (CFF-RKS) algorithm can' t simultaneously satisfy convergence speed and convergence accuracy of CFO estimation. In this pa- per, two variable forgetting factor schemes are designed for improving CFO estimation performance, namely linear variation forgetting factor(LFF) and non-linear variation forgetting factor(NEFF), The simulation results show that the CFO estimation performance based on VFF-RLS significantly better than the CFO estimation performance based on CFF-RLS algorithm in low SNR conditions.
出处 《电视技术》 北大核心 2014年第3期135-137,145,共4页 Video Engineering
基金 广东省自然科学基金项目(S2011040003956)
关键词 正交频分复用 时变信道 载波频偏估计 导频 递推最小二乘 遗忘因子 OFDM time-varying channel CFO estimation pilot RLS forgetting factor
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参考文献8

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