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Improved Time-Domain Threshold Determination for Sparse Channel Estimation in OFDM System

机译:OFDM系统中稀疏信道估计的改进时域阈值确定

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Channel estimation is one of the most essential requirements in Orthogonal Frequency Division Multiplexing (OFDM) system and its exactness severely impacts the performance of the entire system. The most significant tap (MST) selection approach requires prior knowledge of channel statistics which increases complexity and a reduced spectral efficiency. Therefore, in order to tackle the approach of sparse channel estimation in OFDM systems, an improved time domain threshold (ITDT) for sparse channel estimation is thus proposed. The proposed ITDT aims at achieving an improved channel estimation performance with no prior knowledge of channel state information and noise standard deviation. At the start, an initial channel impulse response is obtained by Least Square (LS) approach. Next, a novel ITDT is proposed to obtain the estimated coefficient of noise by extracting the non-zero channel taps. Simulation results indicate a better normalized mean square error (NMSE) of 20-dB gain for a same NMSE for the proposed ITDT compare to the non-sparse LS time domain estimator.
机译:信道估计是正交频分复用(OFDM)系统中最重要的要求之一,其准确性会严重影响整个系统的性能。最重要的抽头(MST)选择方法要求先了解信道统计信息,这会增加复杂性并降低频谱效率。因此,为了解决OFDM系统中的稀疏信道估计的方法,因此提出了用于稀疏信道估计的改进的时域阈值(ITDT)。所提出的ITDT旨在在没有信道状态信息和噪声标准偏差的先验知识的情况下实现改进的信道估计性能。首先,通过最小二乘(LS)方法获得初始信道冲激响应。接下来,提出了一种新颖的ITDT,通过提取非零通道抽头来获得估计的噪声系数。仿真结果表明,与非稀疏LS时域估计器相比,对于拟议的ITDT,相同NMSE的20 dB增益具有更好的归一化均方误差(NMSE)。

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