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

机译:高移动环境下DFTS-OFDM的基于迭代的时域均衡方法

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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.
机译:在高度移动的环境中,由于子载波之间正交性的损失,采用频域均衡方法的DFT扩频正交频分复用(DFTS-OFDM)信号的误码率(BER)性能将相对降低。为了解决这个问题,本文提出了一种基于迭代的时域均衡(TDE)技术,该技术采用时域信道冲激响应(CIR)估计方法来处理DFTS-OFDM信号。所提出的方法的显着特征是在CIR的估计中采用时域训练序列(TS)而不是使用常规的导频子载波方法,并且在最大似然(ML)估计方法中采用TDE技术,而不是使用传统的导频子载波方法。最小均方误差频域均衡(MMSE-FDE)方法。本文还提出了一种TDE方法的低复杂度迭代方法,该方法使用预处理的共轭梯度平方(PCGS)算法求解联立方程,而不是直接使用逆矩阵进行求解。本文提出了在高度移动环境下的各种仿真结果,以证明与传统的MMSE-FDE方法相比,针对CTS估计方法的DFTS-OFDM信号基于迭代的TDE的有效性。

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