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FDPM aided decision directed channel estimation with VSSNLMS-based predictor for OFDM systems

机译:FDPM与基于VSSNLMS的OFDM预测器一起辅助基于判决的信道估计

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The next generation broadband wireless communication system will largely depend on high rate transmission scheme such as Orthogonal Frequency Division Multiplexing (OFDM) scheme. However, channel estimation technique remains a central factor to efficient performance of the OFDM transmission scheme in wireless communication systems. A Fast Data Projection Method (FDPM) - based Channel Impulse Response (CIR) estimator and a Variable Step Size Normalized Least Mean Square (VSSNLMS)-based predictor are proposed for Decision Directed Channel Estimation (DDCE) scheme designed for OFDM system. These algorithms are employed to implement the DDCE scheme by considering a more realistic channel condition, the Fractionally Spaced (FS)-CIR-based channel model. The performance of the FDPM based CIR estimator with VSSNLMS predictor is compared with the case where NLMS predictor is employed. The performance of the formal is observed to improve significantly over the later. The FDPM aided DDCE scheme is also compared with an earlier proposed deflated Projection Approximation Subspace Tracking (PASTd) algorithm aided DDCE scheme. It was found from the simulation results that the FDPM-based DDCE exhibits an improved performance over the PASTd-based DDCE.
机译:下一代宽带无线通信系统将在很大程度上取决于高速率传输方案,例如正交频分复用(OFDM)方案。然而,信道估计技术仍然是无线通信系统中OFDM传输方案的有效性能的中心因素。针对为OFDM系统设计的决策定向信道估计(DDCE)方案,提出了一种基于快速数据投影方法(FDPM)的信道冲激响应(CIR)估计器和一种基于可变步长归一化最小二乘(VSSNLMS)的预测器。通过考虑更切合实际的信道条件(基于分数间隔(FS)-CIR的信道模型),采用这些算法来实现DDCE方案。将带有VSSNLMS预测器的基于FDPM的CIR估计器的性能与采用NLMS预测器的情况进行比较。观察到正式服装的性能将在以后显着提高。还将FDPM辅助DDCE方案与较早提出的紧缩投影近似子空间跟踪(PASTd)算法辅助DDCE方案进行了比较。从仿真结果发现,基于FDPM的DDCE优于基于PASTd的DDCE。

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