Prediction of fading envelopes with diffuse spectra

Raphael J. Lyman; Adam Sikora

doi:10.1109/ICASSP.2005.1415819

Prediction of fading envelopes with diffuse spectra

Raphael J. Lyman^*, Adam Sikora

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

8 Citations (Scopus)

Abstract

We show how to compute the minimum mean squared prediction error of a mobile-radio fading envelope modeled as a stationary process arising from a diffuse set of local scatterers. Our approach reduces the prediction problem to an eigenvalue decomposition, and is appropriate when the prediction is to be based on error-corrupted estimates of a narrowband fading process. Such prediction can improve the performance of adaptive modulation techniques that require up-to-date channel-state information for optimal performance.

Original language	English
Title of host publication	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	III-753-III-756
Number of pages	4
Volume	III
ISBN (Print)	0780388747, 9780780388741
DOIs	https://doi.org/10.1109/ICASSP.2005.1415819
Publication status	Published - 2005
Externally published	Yes
Event	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States Duration: 18 Mar 2005 → 23 Mar 2005

Other

Other	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Country/Territory	United States
City	Philadelphia, PA
Period	18/03/05 → 23/03/05

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10.1109/ICASSP.2005.1415819

Cite this

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title = "Prediction of fading envelopes with diffuse spectra",

abstract = "We show how to compute the minimum mean squared prediction error of a mobile-radio fading envelope modeled as a stationary process arising from a diffuse set of local scatterers. Our approach reduces the prediction problem to an eigenvalue decomposition, and is appropriate when the prediction is to be based on error-corrupted estimates of a narrowband fading process. Such prediction can improve the performance of adaptive modulation techniques that require up-to-date channel-state information for optimal performance.",

author = "Lyman, {Raphael J.} and Adam Sikora",

year = "2005",

doi = "10.1109/ICASSP.2005.1415819",

language = "English",

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booktitle = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 ; Conference date: 18-03-2005 Through 23-03-2005",

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Lyman, RJ & Sikora, A 2005, Prediction of fading envelopes with diffuse spectra. in 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing: proceedings. vol. III, 1415819, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. III-753-III-756, 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, PA, United States, 18/03/05. https://doi.org/10.1109/ICASSP.2005.1415819

Prediction of fading envelopes with diffuse spectra. / Lyman, Raphael J.; Sikora, Adam.

2005 IEEE International Conference on Acoustics, Speech, and Signal Processing: proceedings. Vol. III Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2005. p. III-753-III-756 1415819.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Lyman, Raphael J.

AU - Sikora, Adam

PY - 2005

Y1 - 2005

N2 - We show how to compute the minimum mean squared prediction error of a mobile-radio fading envelope modeled as a stationary process arising from a diffuse set of local scatterers. Our approach reduces the prediction problem to an eigenvalue decomposition, and is appropriate when the prediction is to be based on error-corrupted estimates of a narrowband fading process. Such prediction can improve the performance of adaptive modulation techniques that require up-to-date channel-state information for optimal performance.

AB - We show how to compute the minimum mean squared prediction error of a mobile-radio fading envelope modeled as a stationary process arising from a diffuse set of local scatterers. Our approach reduces the prediction problem to an eigenvalue decomposition, and is appropriate when the prediction is to be based on error-corrupted estimates of a narrowband fading process. Such prediction can improve the performance of adaptive modulation techniques that require up-to-date channel-state information for optimal performance.

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DO - 10.1109/ICASSP.2005.1415819

M3 - Conference proceeding contribution

AN - SCOPUS:33646770309

SN - 0780388747

SN - 9780780388741

VL - III

SP - III-753-III-756

BT - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05

Y2 - 18 March 2005 through 23 March 2005

ER -

Prediction of fading envelopes with diffuse spectra

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