Beta
ManageSearchChatDiscover
255011

A new model of Adaptive Radar Signal Processor based on a time-frequency approach

Article

Last updated: 24 Dec 2024

OverviewSimilar Items

Subjects

-

Tags

-

Abstract

This article introduces a novel adaptive technique for improving radar performance in jamming environments. While there are infinite ways to describe a signal, the most fundamental and crucial variables in nature are time and frequency. While the time domain function describes how the amplitude of the signal changes over time, the frequency domain function describes how frequently these changes occur. The Fourier Transform (F.T.) serves as a link between time and frequency. Significant use of the time-frequency transform is detecting and extracting a radar signal jammed by noise. This novel technique for time-frequency processing with a nonlinear threshold level is demonstrated using a chirp radar pulse embedded in noise. 

DOI

10.21608/jocc.2022.255011

Keywords

RSP (Radar Signal Processor), F.T. (Fourier Transform), FFFT (Fast Fourier Transform), IFFT (Inverse Fast Fourier Transform), SNR (Signal-to-Noise Ratio), BPF (Band Pass Filter)

Authors

First Name

khaled

Last Name

Moustafa

MiddleName

Hussein

Affiliation

Misr International University

Email

khaled.hussein@miuegypt.edu.eg

City

-

Orcid

-

Volume

1

Article Issue

2

Related Issue

36206

Issue Date

2022-08-01

Receive Date

2022-01-10

Publish Date

2022-08-16

Page Start

80

Page End

84

Online ISSN

2636-3577

Article File

JOCC_Volume 1_Issue 2_Pages 80-84.pdf

PDF . 913.6kB

Link

https://jocc.journals.ekb.eg/article_255011.html

Detail API

https://jocc.journals.ekb.eg/service?article_code=255011

Order

7

Type

Original Article

Type Code

731

Publication Type

Journal

Publication Title

Journal of Computing and Communication

Publication Link

https://jocc.journals.ekb.eg/

MainTitle

A new model of Adaptive Radar Signal Processor based on a time-frequency approach

Details

Type

Article

Created At

22 Jan 2023