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A Time Domain Iteration-Based Channel Estimation Method in OFDM Systems with Null Subcarriers

机译:空子载波的OFDM系统中基于时域迭代的信道估计方法

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In orthogonal frequency division multiplexing (OFDM) systems, some subcarriers are often retained as null subcarriers for easier filter implementation. In this case, the performance of conventional Discrete Fourier Transform (DFT)-based channel estimation will be degraded dramatically due to dispersive distortion of actual channel impulse response (CIR). To solve this problem, in the present paper, we analyze the effect of null subcarriers on channel estimation and propose a novel channel estimation scheme. The proposed scheme, whose basic principle is the joint iteration of correlation operation and interference cancellation in time domain, can hold most energy of actual CIR and suppress noise effectively. Finally, simulation results show that the proposed method outperforms Least Square (LS) channel estimator, conventional DFT-based channel estimator and IDFT-Zero-Forcing(ZF) channel estimatior, especially in low signal-to-noise ratio (SNR).
机译:在正交频分复用(OFDM)系统中,一些子载波通常被保留为空子载波,以便于滤波器的实现。在这种情况下,由于实际信道冲激响应(CIR)的色散失真,传统的基于离散傅里叶变换(DFT)的信道估计性能将大大降低。为了解决这个问题,在本文中,我们分析了空子载波对信道估计的影响,并提出了一种新颖的信道估计方案。所提出的方案的基本原理是在时域进行相关运算和干扰消除的联合迭代,它可以保留实际CIR的大部分能量并有效地抑制噪声。最后,仿真结果表明,该方法在最小信噪比(SNR)方面优于最小二乘(LS)信道估计器,传统的基于DFT的信道估计器和IDFT-Zero-Forcing(ZF)信道估计器。

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