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Comparison of Monopulse and MUSIC Estimator for Angular Parameters Estimation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Estimation of angular parameters of a target has always been an important field of study. Monopulse technique can be used to obtain accurate angle measurements in tracking radars. Another popular method for this estimation is use of high resolution beamformers. This paper presents a comparative study of two of the modern techniques monopulse and Multiple Signal Classification (MUSIC) used to perform this estimation by using phased array radar. Simulations are performed in Matlab to make comparison on the basis of accuracy of measurements, ability to resolve multiple targets and performance under poor SNR conditions. Results show that monopulse is capable of giving more accurate measurements than MUSIC and can perform well under poor SNR but inability to resolve multiple targets is its limitation and this is where MUSIC takes precedence.

Original languageEnglish
Title of host publication1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138251
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019 - Swat, Pakistan
Duration: 24 Jul 201925 Jul 2019

Publication series

Name1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019

Conference

Conference1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019
Country/TerritoryPakistan
CitySwat
Period24/07/1925/07/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • MUSIC
  • accuracy
  • monopulse
  • multiple targets SNR

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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