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An improved channel estimation method using doubly reduced matching pursuit over fractional delay multipath channel

机译：一种在分数延迟多径信道上使用双减少匹配追踪的改进信道估计方法

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摘要

Owing to the inherent sparse channel feature in multi-carrier modulation systems, compressed sensing (CS)-based techniques have been used for channel estimation with less pilot subcarriers for orthogonal frequency division multiplexing (OFDM) systems. Because of a sparse multipath channel’s characteristic of fractional delay, the channel measurement matrix that is generated by conventional time-domain sampling approaches cannot perfectly recover the channel impulse response (CIR), especially in the case of two adjacent paths that both have with non-negligible power. In this study, a fractional delay multipath channel model is used to simulate the wireless multipath channel. In addition, a time-domain oversampling based doubly reduced matching pursuit (DRMP) algorithm at the receiver is proposed to improve the estimation accuracy while reducing the computational complexity. Simulation results show that the proposed method can improve both the bit error rate (BER) performance and estimation time compared to conventional methods in an environment with fractional delay.
机译：由于多载波调制系统中固有的稀疏信道特征，用于正交频分复用（OFDM）系统的基于压缩感知（CS）的技术已被用于具有较少导频子载波的信道估计。由于稀疏的多路径信道具有分数延迟的特性，传统时域采样方法生成的信道测量矩阵无法完美地恢复信道冲激响应（CIR），尤其是在两个相邻路径均具有非力量微不足道。在这项研究中，分数延迟多径信道模型用于模拟无线多径信道。此外，提出了一种基于时域过采样的接收机双倍减少匹配追踪（DRMP）算法，以提高估计精度，同时降低计算复杂度。仿真结果表明，与传统方法相比，该方法在分数延迟环境下可以提高误码率（BER）性能和估计时间。

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