SNR-independent methods for estimating maximum Doppler frequency

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...

Full description

Saved in:
Bibliographic Details
Published inIEEE signal processing letters Vol. 12; no. 5; pp. 384 - 386
Main Authors Yu, Hyunkyu, Park, Goohyun, Cho, Hangyu, Kang, Changeon, Hong, Daesik
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2005
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Additive white noise
Autocorrelation
AWGN
Bandwidth
Discrete Fourier transforms
Downsampling
Frequency estimation
Gaussian noise
maximum Doppler frequency estimation
Mobile communication
noise suppression
Signal to noise ratio
Working environment noise
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2005.843766