Abstract | ||
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The estimation of the scattering function in a time-frequency selective fading mobile environment is considered. The scattering function explicitly reveals the time-frequency selective behavior of the fading channel under the well-known wide-sense stationary Gaussian process with uncorrelated scattering (WSSUS) assumption. We propose two classes of estimators based on a time-frequency framework that generalize the existing estimators while giving an extra freedom according to different criteria wanted to be achieved in the estimation of the scattering function. Instead of using the Woodward ambiguity function or symmetric ambiguity function, we use the generalized ambiguity function which comes from the general class of quadratic time-frequency distributions |
Year | DOI | Venue |
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2001 | 10.1109/ICASSP.2001.940620 | ICASSP |
Keywords | Field | DocType |
wssus assumption,signal processing,fading channels,fading channel,scattering function estimation,quadratic time-frequency distributions,mobile radio,gaussian processes,time-frequency signal processing,electromagnetic wave scattering,generalized ambiguity function,wide-sense stationary gaussian process,mobile environment,uncorrelated scattering,selective fading,time-frequency analysis,fading,time frequency analysis,time frequency,ambiguity function,scattering,mobile communication,wide sense stationary,doppler shift,gaussian process,statistics | Statistical physics,Ambiguity function,Signal processing,Mathematical optimization,Fading,Quadratic equation,Scattering,Gaussian process,Time–frequency analysis,Statistics,Mathematics,Estimator | Conference |
Volume | ISSN | ISBN |
6 | 1520-6149 | 0-7803-7041-4 |
Citations | PageRank | References |
1 | 0.38 | 6 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Linh-Trung Nguyen | 1 | 3 | 1.16 |
Bouchra Senadji | 2 | 186 | 20.93 |
Boualem Boashash | 3 | 964 | 123.86 |