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142456

SOS and HOS Performance for Processing Satellite Relayed Signal.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Electronics and Communications Engineering

Abstract

Signal detection in the presence of additive Gaussian noise can be performed using higher order statistics. This paper deals with a processing of single and multiple emergency signals that relayed from the low polar orbit satellite using parametric spectral estimation techniques with Second and Higher Order Statistics. The detection algorithm based on the Second Order Statistics (SOS) using the parametric techniques, which are the Maximum Entropy Method (MEM), and MUltiple Signal Classification (MUSIC) is designed and examined in this paper. Simulation results illustrate successful performance of signal detection at low signal to noise ratio. These proposed methods suppress additive Gaussian noise of unknown power spectrum, detect and characterize the main properties of the transmitted signals.

DOI

10.21608/bfemu.2021.142456

Authors

First Name

Moawad

Last Name

Dessouky

MiddleName

I.M.

Affiliation

Department of Electronic Engineering., Faculty of Engineering., Menoufia University., Menouf, Egypt.

Email

-

City

Menoufia

Orcid

-

First Name

Mohey

Last Name

Hadhoud

MiddleName

M.

Affiliation

Department of Electronic Engineering., Faculty of Engineering., Menoufia University, Menouf, Egypt

Email

-

City

Menoufia

Orcid

-

First Name

Abd-elfattah

Last Name

Ibrahim

MiddleName

-

Affiliation

Departemet of Electronics and Communication Engineering., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

abd_fattah@mnum.mans.edu.eg

City

Mansoura

Orcid

-

First Name

Ashraf

Last Name

Eltholoth

MiddleName

A.

Affiliation

National Telecommunication Institute., Cairo., Egypt

Email

-

City

Cairo

Orcid

-

Volume

27

Article Issue

1

Related Issue

21023

Issue Date

2002-03-01

Receive Date

2001-12-19

Publish Date

2021-01-23

Page Start

26

Page End

35

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 27_Issue 1_Pages 26-35.pdf

PDF . 722.1kB

Link

https://bfemu.journals.ekb.eg/article_142456.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=142456

Order

4

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023