A Joint Estimator of SNR and Mobile Speed in Wireless Communications

Jingyu Hua, L. Meng, Xiaojian Xu, Zhijiang Xu, Dongming Wang
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引用次数: 3

Abstract

Recently, signal-to-noise ratio (SNR) and mobile speed estimations have drawn a great amount of attention due to their comprehensive use in modern adaptive signal processing. Hence after investigating a double sampling rate (DSR) signal processing technique, we propose a joint estimator to estimate these two parameters, where we utilize the fact that the autocorrelation function (ACF) of time-varying wireless channel is related to the SNR and Doppler Shift, the latter of which is also related to mobile speed. We verify the proposed algorithm by computer simulation, and the results have showed a good SNR-independent peformance in a wide range of velocities and SNRs.
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无线通信中信噪比和移动速度的联合估计
近年来,信噪比和移动速度估计因其在现代自适应信号处理中的广泛应用而受到广泛关注。因此,在研究了双采样率(DSR)信号处理技术之后,我们提出了一个联合估计器来估计这两个参数,其中我们利用时变无线信道的自相关函数(ACF)与信噪比和多普勒频移有关的事实,后者也与移动速度有关。通过计算机仿真验证了该算法的有效性,结果表明该算法在较宽的速度和信噪比范围内具有良好的信噪比无关性。
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