An imorived doppler shift and SNR estimator in wireless communications

作者：Hua Jingyu; Fang Qimin; Xu Zhijiang; Li Feng; Meng Liming; Wang Dongming

来源：2014 International Conference on Information and Communications Technologies, ICT 2014, 2014-05-15 to 2014-05-17.

• Channel parameter
• Double sampling
• Extensive simulations
• Level crossing rates
• Numerical computations
• Signaltonoise ratio (SNR)
• SNR
• Wireless communications

This paper puts forward an improved channel parameter estimator based on the level crossing rate (LCR) computation and double sampling rate (DSR) signal processing, where the appropriate sampling rate is studied by the numerical computation. Subsequently, by exploiting the selected sampling rate, we can estimate both the Doppler shift and the signal-to-noise ratio (SNR) with a high accuracy. Extensive simulations explicitly show a good performance for the proposed algorithm.

• 出版日期2014
• 单位东南大学