Poly-semantic Signal Design for Detection of Two Target in Neural Network
Author(s):
Mohammed. Moazzam Moinuddin
Keywords:
Poly-semantic radar, Hamming back-track, sidelobe suppression, radial basis neural network.
Abstract
This paper addresses the radar signal design for the detection of two target with improved sidelobe suppression ratio using neural network. The simulation results indicate a significant in terms of noise tolerance for targets detection compared to conventional binary sequence.
Article Details
Unique Paper ID: 158571

Publication Volume & Issue: Volume 3, Issue 12

Page(s): 321 - 325
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies