DocumentCode
3044897
Title
A two-ray spectrum-approximation approach to Doppler spread estimation with robustness to the carrier frequency offset
Author
Soudèn, Mehrez ; Affes, Sofiene E E ; Benesty, Jacob
Author_Institution
INRS-EMT, Univ. du Quebec, Montreal, QC
fYear
2008
fDate
6-9 July 2008
Firstpage
31
Lastpage
35
Abstract
We propose a new simple and accurate approach to estimate the Doppler spread which is a key parameter in the context of wireless communication systems. This new approach stems from the well known fact that the crosscorrelation of the channel is a weighted summation of monochromatic plane waves (or inverse Fourier transform of its power spectral density). In the case of Doppler spread, these plane waves are locally distributed around a main frequency which is nothing but the carrier frequency offset (CFO). This special feature accounts for the Taylor series expansions that we use herein to develop a two-ray spectrum approximate model. The resulting approximation allows us to determine a new simple and accurate closed-form estimator of the Doppler spread under the unique symmetry assumption on the channelpsilas spectrum. Simulations illustrate the advantages of the proposed technique and its robustness to the CFO.
Keywords
Fourier transforms; radiocommunication; series (mathematics); Doppler spread estimation; Taylor series expansions; carrier frequency offset; channel crosscorrelation; closed-form estimator; inverse Fourier transform; monochromatic plane waves; power spectral density; two-ray spectrum-approximation approach; wireless communication systems; Context; Data models; Fourier transforms; Frequency conversion; Frequency estimation; Jacobian matrices; Oscillators; Robustness; Shape; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Advances in Wireless Communications, 2008. SPAWC 2008. IEEE 9th Workshop on
Conference_Location
Recife
Print_ISBN
978-1-4244-2045-2
Electronic_ISBN
978-1-4244-2046-9
Type
conf
DOI
10.1109/SPAWC.2008.4641564
Filename
4641564
Link To Document