Title :
SNR-independent methods for estimating maximum Doppler frequency
Author :
Yu, Hyunkyu ; Park, Goohyun ; Cho, Hangyu ; Kang, Changeon ; Hong, Daesik
Author_Institution :
Dept. of Electr./Electron. Eng., Yonsei Univ., Seoul, South Korea
fDate :
5/1/2005 12:00:00 AM
Abstract :
In this letter, we propose two maximum Doppler frequency estimators that are based on the level crossing rate (LCR) and the covariance function (COV). To eliminate the effect of additive noise, we analyze the conditions for the estimators independent of the signal-to-noise ratio (SNR) and implement the conditions with a simple downsampling process. The proposed methods achieve good SNR-independent performance.
Keywords :
Doppler effect; Rayleigh channels; covariance analysis; frequency estimation; interference suppression; mobile radio; sampling methods; COV; LCR; SNR-independent method; additive noise; covariance function; downsampling process; level crossing rate; maximum Doppler frequency estimator; noise suppression; signal-noise ratio; AWGN; Additive white noise; Autocorrelation; Bandwidth; Discrete Fourier transforms; Frequency estimation; Gaussian noise; Mobile communication; Signal to noise ratio; Working environment noise; Downsampling; maximum Doppler frequency estimation; noise suppression;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.843766