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33253

Detection of PN sequence using Higher Order Statistics (HOS) Matched Filter Receiver

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Last updated: 04 Jan 2025

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Abstract

Abstract:
This paper presents a Higher Order Statistic Matched Filter (HOSMF) receiver which
use in signal detection of PN-sequence in the presence of the Gaussian and non
Gaussian noise. We also propose a method for the realization of a correlator to compute
the 3rd order cumulant. The PN-sequence is detected via multiple correlation and
cumulants, respectively.
The detection algorithm is computationally simply and condrary to standard matched
filter, it is insensitive to shift pn-sequence and does not required knowledge of the noise
spectrum for pre whitening. The receiver can be viewed as like hood ratio test between
sampled higher order statics. Simulation illustrated successful performance of the
detection using correlation higher order statics matched filter (HOSMF) than the
conventional MF under certain types of noise.

DOI

10.21608/iceeng.2010.33253

Keywords

Matched Filter, PN-Sequence and Higher Order Statistics (HOS)

Authors

First Name

Ahmed

Last Name

Badawy

MiddleName

S.

Affiliation

Dr., Air Defense Command (ADC) Cairo, Egypt.

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City

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Orcid

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First Name

Ahmed

Last Name

Sadek

MiddleName

K.

Affiliation

Dr., Alexandria university, Faculty of Engineering , Alexandria, Egypt.

Email

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City

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Orcid

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Volume

7

Article Issue

7th International Conference on Electrical Engineering ICEENG 2010

Related Issue

5537

Issue Date

2010-05-01

Receive Date

2019-05-26

Publish Date

2010-05-01

Page Start

1

Page End

13

Print ISSN

2636-4433

Online ISSN

2636-4441

Link

https://iceeng.journals.ekb.eg/article_33253.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=33253

Order

86

Type

Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

MainTitle

Detection of PN sequence using Higher Order Statistics (HOS) Matched Filter Receiver

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Article

Created At

22 Jan 2023