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Implementation and Co-Simulation of Hybrid Pilot-Aided Channel Estimation With Decision Feedback Equalizer for OFDM Systems

机译:OFDM系统中具有决策反馈均衡器的混合导频信道估计的实现和协同仿真

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摘要

This paper introduces novel hybrid pilot-aided channel estimation with decision feedback equalizer(DFE) for OFDM systems and its corresponding hardware co-simulation platform. This pilot-aided channel estimation algorithm consists of two parts: coarse estimation and fine estimation. In the coarse estimation, the combined classical channel estimation methods including carrier frequency offset (CFO) and channel impulse response (CIR) estimation are used. Based on the received training sequence and pilot tones in the frequency domain, the major CFO, sampling clock frequency offset (SFO) and CIR effect coefficients are derived. In the fine estimation, the pilot-aided polynomial interpolation estimation combined with a new decision feedback equalizer scheme based on minimum mean squared error (MMSE) criteria is proposed to reduce the residual effect caused by imperfect CIR equalizer, SFO and CFO. At the same time, for the purpose of speeding up the whole development and verification process, a new architecture of co-simulation platform which combines software and hardware is introduced. The simulation results on the co-simulation platform indicate that the proposed hybrid channel estimation scheme can enhance the receiver performance by 6 dB in terms of error vector magnitude (EVM) over large ranges of CFO and SFO and BER performance by 7 dB for SNR range over 15 dB.
机译:本文介绍了用于OFDM系统的带有决策反馈均衡器(DFE)的新型混合导频辅助信道估计及其相应的硬件协同仿真平台。该导频辅助的信道估计算法包括两部分:粗略估计和精细估计。在粗略估计中,使用了组合的经典信道估计方法,包括载波频率偏移(CFO)和信道冲激响应(CIR)估计。根据接收到的训练序列和频域中的导频音,得出主要的CFO,采样时钟频率偏移(SFO)和CIR效果系数。在精细估计中,提出了基于最小均方误差(MMSE)准则的飞行员辅助多项式插值估计与新的决策反馈均衡器方案相结合的方法,以减少由不完善的CIR均衡器,SFO和CFO引起的残留效应。同时,为了加速整个开发和验证过程,提出了一种新的软件和硬件相结合的协同仿真平台架构。协同仿真平台上的仿真结果表明,在大范围的CFO和SFO范围内,所提出的混合信道估计方案可以在误差矢量幅度(EVM)方面将接收器性能提高6 dB,对于SNR范围则可以将BER性能提高7 dB。超过15 dB。

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