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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Robust Training Symbol Assisted Least Squares Estimation for Direct Conversion Receivers with Oscillator IQ-Imbalance
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Robust Training Symbol Assisted Least Squares Estimation for Direct Conversion Receivers with Oscillator IQ-Imbalance

机译:强大的训练符号对具有振荡器IQ-MABALANCE的直接转换接收器的最小二乘估计

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摘要

The direct conversion receiver is attractive for being able to provide low-cost and compact receiver design for wireless communications. However, the oscillator imbalance in the in-phase and quadrature components of its mixing sinusoid introduces additional self-image interference, which is a non-linear effect to the received signal. Relying on just one OFDM training symbol, we formulate the joint estimation of oscillator imbalance, DC offset, and channel response as a linear model. A low-complexity least squares (LS) estimation method is then proposed. The transformation matrix in our model is shown to be of full rank with probability 1, which allows our LS approach to be realizable for a variety of training OFDM symbols. Justified by simulation results, our method outperforms the other three LS methods in the literature.
机译:直接转换接收器对于能够提供用于无线通信的低成本和紧凑的接收器设计具有吸引力。 然而,其混合正弦状的同相和正交组分中的振荡器不平衡引入了额外的自我图像干扰,这是对接收信号的非线性效应。 仅依靠一个OFDM训练符号,我们将振荡器不平衡,直流偏移和信道响应的联合估计为线性模型。 然后提出了低复杂性最小二乘(LS)估计方法。 我们模型中的转换矩阵被显示为具有概率1的完整等级,这允许我们的LS方法可实现对OFDM符号的各种训练。 通过仿真结果证明,我们的方法优于文献中的其他三种方法。

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