2022
DOI: 10.3390/electronics11040558
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Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm

Abstract: 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… Show more

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Cited by 6 publications
(3 citation statements)
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“…In [21], the artificial bee colony (ABC) algorithm is used to achieve higher statistical performance. A high degree of freedom for DOA is studied in [22] using Cuckoo search algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…In [21], the artificial bee colony (ABC) algorithm is used to achieve higher statistical performance. A high degree of freedom for DOA is studied in [22] using Cuckoo search algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…The number of degrees of freedom (DOF) was increased [14]. Coprime sensor arrays were used in the far-field DOA estimation of the uncorrelated radar signals [15] in order to increase the DOF. The work used the Cuckoo search, which provided an increased number of DOF with low SNR values [14].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Examples include the artificial bee colony (ABC) algorithm, grey wolf optimization (GWO) algorithm, beetle antennae search (BAS) algorithm, cuckoo search (CS) algorithm, whale optimization algorithm (WOA) and sparrow search algorithm (SSA) [24][25][26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%