Modeling and estimation of the direction-delay power spectrum of the propagation channel

In this contribution, a multi-variate probability density function (pdf) is derived and used to describe the normalized direction-(i.e. azimuth and elevation)-delay power spectral density of individual dispersed components in the response of the propagation channel. This pdf maximizes the entropy un...

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Bibliographic Details
Published in2008 3rd International Symposium on Communications, Control and Signal Processing pp. 225 - 230
Main Authors Xuefeng Yin, Lingfeng Liu, Pedersen, T., Nielsen, D.K., Fleury, B.H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2008
Subjects
Azimuth
direction-delay power spectrum
Dispersion
Entropy
Gravity
Microwave communication
MIMO
Parameter estimation
Parametric statistics
Power system modeling
Probability density function
Propagation channel
SAGE algorithm
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Summary:In this contribution, a multi-variate probability density function (pdf) is derived and used to describe the normalized direction-(i.e. azimuth and elevation)-delay power spectral density of individual dispersed components in the response of the propagation channel. This pdf maximizes the entropy under the constraint that its first and second moments are specified. We use a SAGE algorithm, as an approximation of the maximum- likelihood method, to estimate the parameters of the component direction-delay power spectral densities from measurement data. The experimental results show that the proposed pdf and the SAGE algorithm form altogether an effective tool to characterize direction-delay dispersion in the propagation channel.
ISBN:1424416876
9781424416875
DOI:10.1109/ISCCSP.2008.4537224