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This paper investigates biases of a parametric estimator of Doppler shift in mobile communications, and the result indicates that the conventional iterative autocorrelation function (ACF) estimator yields a significant estimation error at high mobile speeds. Therefore, a simple linear fitting is proposed to refine the Doppler shift estimation, in which only one fitting expression is required for different...
The Doppler shift, or equivalently the vehicular speed, represents the fading rate of mobile channels, thus its estimation must be important in the mobile communication system. This paper investigates the estimation of Doppler shift by taking into consideration the rate of minimum (ROM) of envelope, where both the iterative processing and polynomial fitting are employed to improve the estimating performance...
Representing the reception condition directly, both Signal-to-noise ratio (SNR) and Doppler shift are important parameters in mobile channels, and therefore are widely used in system performance evaluations and adaptive applications. Accordingly, this paper investigates a frequency domain iterative estimator for SNR and Doppler shift in mobile communications, where the discrete cosine transform (DCT)...
This paper studies the problem of joint estimation of data and channels for orthogonal frequency-division multiplexing (OFDM) systems using variational inference. The proposed methods are used to combat imperfect channel estimation at the receiver since it can degrade system performance seriously. The proposed methods simplify the maximum a posteriori (MAP) scheme based on the theory of variational...
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