ADAPTIVE LOCALLY OPTIMAL DETECTORS FOR CPFSK IN NON-GAUSSIAN NOISE.

D. Zeghlache; S. S. Soliman

doi:10.1109/vtc.1987.1623556

ADAPTIVE LOCALLY OPTIMAL DETECTORS FOR CPFSK IN NON-GAUSSIAN NOISE.

D. Zeghlache, S. S. Soliman

Southern Methodist University

Research output: Contribution to journal › Conference article › peer-review

Abstract

Performance of adaptive locally optimal Bayes' detectors for detecting continuous-phase frequency-shift-keyed (CPFSK) signals in impulsive non-Gaussian noise is investigated. Two models are used to characterize the noise process, the Johnson-Su system of densities and a mixture of normals model. Analytic estimation of performance along with simulation results illustrate the robustness of these adaptive schemes.

Original language	English
Pages (from-to)	272-278
Number of pages	7
Journal	IEEE Vehicular Technology Conference
DOIs	https://doi.org/10.1109/vtc.1987.1623556
Publication status	Published - 1 Jan 1987
Externally published	Yes

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10.1109/vtc.1987.1623556

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@article{786d6be50eb84df3a4a000c26a9135da,

title = "ADAPTIVE LOCALLY OPTIMAL DETECTORS FOR CPFSK IN NON-GAUSSIAN NOISE.",

abstract = "Performance of adaptive locally optimal Bayes' detectors for detecting continuous-phase frequency-shift-keyed (CPFSK) signals in impulsive non-Gaussian noise is investigated. Two models are used to characterize the noise process, the Johnson-Su system of densities and a mixture of normals model. Analytic estimation of performance along with simulation results illustrate the robustness of these adaptive schemes.",

author = "D. Zeghlache and Soliman, \{S. S.\}",

year = "1987",

month = jan,

day = "1",

doi = "10.1109/vtc.1987.1623556",

language = "English",

pages = "272--278",

journal = "IEEE Vehicular Technology Conference",

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T1 - ADAPTIVE LOCALLY OPTIMAL DETECTORS FOR CPFSK IN NON-GAUSSIAN NOISE.

AU - Zeghlache, D.

AU - Soliman, S. S.

PY - 1987/1/1

Y1 - 1987/1/1

N2 - Performance of adaptive locally optimal Bayes' detectors for detecting continuous-phase frequency-shift-keyed (CPFSK) signals in impulsive non-Gaussian noise is investigated. Two models are used to characterize the noise process, the Johnson-Su system of densities and a mixture of normals model. Analytic estimation of performance along with simulation results illustrate the robustness of these adaptive schemes.

AB - Performance of adaptive locally optimal Bayes' detectors for detecting continuous-phase frequency-shift-keyed (CPFSK) signals in impulsive non-Gaussian noise is investigated. Two models are used to characterize the noise process, the Johnson-Su system of densities and a mixture of normals model. Analytic estimation of performance along with simulation results illustrate the robustness of these adaptive schemes.

U2 - 10.1109/vtc.1987.1623556

DO - 10.1109/vtc.1987.1623556

M3 - Conference article

AN - SCOPUS:0023171617

SN - 1550-2252

SP - 272

EP - 278

JO - IEEE Vehicular Technology Conference

JF - IEEE Vehicular Technology Conference

ER -

ADAPTIVE LOCALLY OPTIMAL DETECTORS FOR CPFSK IN NON-GAUSSIAN NOISE.

Abstract

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