A Novel Doppler Shift Estimation via Optimum Bandwidth Filtering in HF/VHF Communications
In HF/VHF communications, the received signal is easily overwhelmed by various noise and interference signals, which has seriously affected the estimated accuracy of Doppler frequency shift, the band-pass filter (BPF) is used to suppress noise and interference effectively. Nearly everyone agrees that the more noise suppression and the more accurate the estimated results. Nevertheless, in this paper, through theoretical analysis and simulation results for the classical methods such as level crossing rate (LCR), we educe a conclusion that there exists an optimum bandwidth ratio to minimize the estimated error of Ooppler frequency shift, and appropriate bandwidth noise is helpful to improve estimation performance. Therefore, in order to ensure the accuracy estimation of Doppler frequency shift under low signal-noise-ratio (SNR) conditions (y<0dB), the optimum bandwidth ratio of BPF is deduced and determined, with which the estimation performance of proposed method is always superior than 2~5dB, comparing with current methods.
doppler shift estimation bandwidth filtering HF/VHF Communications low signal-noise-ratio
Liping Wu Zan Li Jiandong Li
State Key Laboratory of ISN XiDian Univercity Xian, China 710071
国际会议
2011 International Conference on Information and Computer Networks(ICICN 2011)(2011年信息与计算机网络国际会议)
贵阳
英文
410-413
2011-01-26(万方平台首次上网日期,不代表论文的发表时间)