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Doppler Shift Estimation for TD-SCDMA System over Railway Environments

机译:铁路环境TD-SCDMA系统的多普勒换档估计

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In this paper, a new Doppler shift estimator is proposed for Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) over railway environments. Different from other existing methods, which commonly assume that the fading channel coefficients are available for the Doppler estimators, the proposed estimator is developed based on the signals which contain unknown frequency selective fading channel coefficients, unknown Rice factor and random receiver noise; it contains three steps. The statistical properties of the training symbols which are called near independent identically distributed (i.i.d.) training sequences, i.e., "midamble", are first analyzed. Afterwards, by the help of a training sequence, the second-order and fourth-order statistics of the received signals are calculated. Then, by exploiting these statistical results, the Doppler shift estimator is obtained. The proposed estimator employs a smoothing function with corrective factor. By optimizing the corrective factor, an accuracy solution is acquired within the Doppler shift range of possibilities. Simulation results indicate that the proposed estimator is greatly reliable and effective to estimate Doppler shift up to 400 Hz.
机译:在本文中,提出了一种新的多普勒换档估计器,用于在铁路环境中用于时分 - 同步码分多次访问(TD-SCDMA)。与其他现有方法不同,通常假设衰落通道系数可用于多普勒估计器,所提出的估计器是基于包含未知频率选择性衰落通道系数,未知的米因子因子和随机接收器噪声的信号开发的估计器;它包含三个步骤。首次分析了称为接近独立分布的训练符号的训练符号的统计特性,即“中间人”,即“中间人”。之后,通过训练序列的帮助,计算所接收信号的二阶和四阶统计。然后,通过利用这些统计结果,获得多普勒换档估计器。建议的估算者采用平滑功能,具有纠正因素。通过优化纠正因子,在多普勒换档范围内获得精度解决方案。仿真结果表明,建议的估计经济估计是可靠的,有效地估计多普勒转移到400 Hz。

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