A comparative study among swarming intelligence algorithms and subspace based algorithms for high resolution direction of arrival estimation

Nauman Ahmed*, Sikandar Khan, Sajid Ali, Rizwan Ahmed, Rahisham Abd Rahman, Mamon M. Horoub, Hamid Khan, Sadaqat Ali

*Corresponding author for this work

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

Abstract

Recent advances in underwater signal processing have enabled the parameter estimation of Direction of Arrival (DOA) utilizing evolutionary computing paradigms, which also has witnessed several applications in the field of seismology, earthquakes, astronomy, and biomedicine. In this work, an innovative study of comparison among state of the art subspace-based and particle swarm optimization (PSO) and Genetic Algorithms (GA) algorithms is presented to have effective DOA estimates for various objects with dynamical characteristics in underwater scenario. The viability of innovative statistical indices is employed to describe performance in order to evaluate it. The effectiveness of the GA and PSO a is evaluated in comparison with its traditional counterparts (such as MVDR, MVDR, MUSIC, ESPRIT and UESPRIT) based on different metrics such as estimation accuracy, probability of resolution and computational robustness against the number of elements and noise. For validation assessments, Crammer Rao Bound (CRB) analysis is also performed, and outcomes from Monte Carlo runs show that the Genetic Algorithm (GA) outperforms its analogue in terms of complexity indices, convergence, and precision.

Original languageEnglish
Title of host publication8th International Conference on Engineering and Emerging Technologies, ICEET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665491068
DOIs
StatePublished - 2022
Event8th International Conference on Engineering and Emerging Technologies, ICEET 2022 - Kuala Lumpur, Malaysia
Duration: 27 Oct 202228 Oct 2022

Publication series

Name8th International Conference on Engineering and Emerging Technologies, ICEET 2022

Conference

Conference8th International Conference on Engineering and Emerging Technologies, ICEET 2022
Country/TerritoryMalaysia
CityKuala Lumpur
Period27/10/2228/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Direction of Arrival
  • convergence
  • genetic algorithm
  • optimization
  • simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Media Technology

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