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  • Hameed, KhurramInt Islamic Univ, Dept Elect Engn, Islamabad 44000, Pakistan. (author)

Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • 2022-02-12
  • MDPI AG,2022
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-310067
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-310067URI
  • https://doi.org/10.3390/electronics11040558DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • QC 20220321
  • For the purpose of attaining a high degree of freedom (DOF) for the direction of arrival (DOA) estimations in radar technology, coprime sensor arrays (CSAs) are evaluated in this paper. In addition, the global and local minima of extremely non-linear functions are investigated, aiming to improve DOF. The optimization features of the cuckoo search (CS) algorithm are utilized for DOA estimation of far-field sources in a low signal-to-noise ratio (SNR) environment. The analytical approach of the proposed CSAs, CS and global and local minima in terms of cumulative distribution function (CDF), fitness function and SNR for DOA accuracy are presented. The parameters like root mean square error (RMSE) for frequency distribution, RMSE variability analysis, estimation accuracy, RMSE for CDF, robustness against snapshots and noise and RMSE for Monte Carlo simulation runs are explored for proposed model performance estimation. In conclusion, the proposed DOA estimation in radar technology through CS and CSA achievements are contrasted with existing tools such as particle swarm optimization (PSO).

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Khan, WasimInt Islamic Univ, Dept Elect Engn, Islamabad 44000, Pakistan. (author)
  • Abdalla, Yasser S.Jouf Univ, Coll Comp & Informat Sci, Dept Comp Engn & Networks, Sakaka 72388, Saudi Arabia. (author)
  • Al-Harbi, Fatemah F.Princess Nourah Bint Abdulrahman Univ, Coll Sci, Dept Phys, POB 84428, Riyadh 11671, Saudi Arabia. (author)
  • Armghan, AmmarJouf Univ, Coll Engn, Dept Elect Engn, Sakaka 72388, Saudi Arabia. (author)
  • Asif, MuhammadUniv Sci & Technol, Dept Elect Engn, Main Campus, Bannu 28100, Pakistan. (author)
  • Salman Qamar, MuhammadInt Islamic Univ, Dept Elect Engn, Islamabad 44000, Pakistan.;Qurtuba Univ Sci & IT, Dept Elect Engn, Dera Ismail Khan 29050, Pakistan. (author)
  • Ali, FarmanQurtuba Univ Sci & IT, Dept Elect Engn, Dera Ismail Khan 29050, Pakistan. (author)
  • Miah, Md SiponUniv Carlos III Madrid, Dept Signal Theory & Communicat, Madrid 28911, Spain. (author)
  • Alibakhshikenari, MohammadUniv Carlos III Madrid, Dept Signal Theory & Communicat, Madrid 28911, Spain. (author)
  • Dalarsson, MarianaKTH,Elektroteknik(Swepub:kth)u166dj8f (author)
  • Int Islamic Univ, Dept Elect Engn, Islamabad 44000, Pakistan.Jouf Univ, Coll Comp & Informat Sci, Dept Comp Engn & Networks, Sakaka 72388, Saudi Arabia. (creator_code:org_t)

Related titles

  • In:Electronics: MDPI AG11:42079-9292

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