Iterative based time domain equalization method for DFTS-OFDM under highly mobile environments

Arttapol Reangsuntea, P. Boonsrimuang, P. Reangsuntea, K. Mori, Hideo Kobayashi
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Abstract

Under highly mobile environments, the bit error rate (BER) performance of DFT spreading-orthogonal frequency division multiplexing (DFTS-OFDM) signal with a frequency domain equalization method would be degraded relatively due to the loss of orthogonality among subcarriers. To solve this problem, this paper proposes an iterative based time domain equalization (TDE) technique with a time domain channel impulse response (CIR) estimation method for the DFTS-OFDM signal. The salient features of proposed method are to employ a time domain training sequence (TS) in the estimation of CIR instead of using the conventional pilot subcarriers method and to employ the TDE technique with a maximum likelihood (ML) estimation method instead of using the conventional minimum mean square error frequency domain equalization (MMSE-FDE) method. This paper also proposes a low-complexity iterative method for the TDE method by using the preconditioned conjugate gradient squared (PCGS) algorithm for solving the simultaneous equations instead of using a direct calculation of inverse matrix. This paper presents various simulation results under highly mobile environments to demonstrate the effectiveness of proposed iterative based TDE with the CIR estimation method for the DFTS-OFDM signal as comparing with the conventional MMSE-FDE method.
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高移动环境下基于迭代的DFTS-OFDM时域均衡方法
在高移动环境下,采用频域均衡方法的DFT扩频-正交频分复用(DFTS-OFDM)信号由于子载波间的正交性丧失,误码率性能会相对下降。为了解决这一问题,本文提出了一种基于迭代的时域均衡(TDE)技术,并结合时域信道脉冲响应(CIR)估计方法对DFTS-OFDM信号进行估计。该方法的显著特点是在CIR估计中采用时域训练序列(TS)代替传统的导频子载波方法,在最大似然(ML)估计方法中采用TDE技术代替传统的最小均方误差频域均衡(MMSE-FDE)方法。本文还提出了一种低复杂度的迭代TDE方法,即使用预条件共轭梯度平方(PCGS)算法求解联立方程,而不是直接计算逆矩阵。本文给出了高移动环境下的各种仿真结果,与传统的MMSE-FDE方法相比,验证了所提出的基于迭代的DFTS-OFDM信号TDE与CIR估计方法的有效性。
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