Beta
25648

IMPLEMENTATION OF MTI RADARS USING NEURAL NETWORK

Article

Last updated: 24 Dec 2024

Subjects

-

Tags

-

Abstract

The purpose of moving target indicator (MTI) radars is to reject signals from fixed unwanted targets, such as buildings, hills, and trees, and retain signals for detection of moving targets such as aircraft, ships, missiles,..etc. There are many conventional MTI techniques such as, the adaptive pulse canceller, doppler filter banks, and fast Fourier transform (FFT) filter banks. Each technique suffers certain considerable limitation. This paper utilizes a neural network approach to implement a system that can be used to detect moving targets in severely cluttered environment. A three-layer neural network has been trained to perform as moving target indicator. The back-propagation training algorithm has been used to train the proposed network. Significant performance improvements have been achieved as compared with the conventional fast Fourier transform method.

DOI

10.21608/asat.1993.25648

Authors

First Name

Fawzy

Last Name

Ibrahim

MiddleName

-

Affiliation

Lecturer, Department of Electrical and Computer Engineering Military Technical College, Kobry El-Koba, Cairo, Egypt.

Email

-

City

-

Orcid

-

Volume

5

Article Issue

ASAT CONFERENCE 4 - 6 May 1993, CAIRO

Related Issue

4665

Issue Date

1993-05-01

Receive Date

2019-01-22

Publish Date

1993-05-01

Page Start

455

Page End

463

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_25648.html

Detail API

https://asat.journals.ekb.eg/service?article_code=25648

Order

38

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

IMPLEMENTATION OF MTI RADARS USING NEURAL NETWORK

Details

Type

Article

Created At

22 Jan 2023