Performance evaluation of direction-finding techniques of an acoustic source with uniform linear array. Issue 2 (22nd October 2021)

• Record Type: Journal Article
• Authors: Uddin, Syed Farid; Khan, Ayan Alam; Wajid, Mohd; Singh, Mahima; Alam, Faisal
• Is Part Of: Frontiers in engineering and built environment. Volume 1:Issue 2(2021)
• Page Start: 230
• Page End: 242
• Publication Date: 2021-10-22
• Subjects: Direction-of-arrival (DOA) Delay-and-sum (DAS) beamforming -- Multiple signal classification (MUSIC) multivariate-linear-regression (MLR) -- Multivariate-curvilinear-regression (MCR) -- RMSAE -- Support vector regression (SVR); Engineering; Civil engineering; Environmental engineering; Geotechnical engineering; Periodicals; 620
• DOI: 10.1108/FEBE-09-2021-0045
• Languages: English
• ISSNs: 2634-2499

Abstract

Abstract : Purpose: The purpose of this paper is to show a comparative study of different direction-of-arrival (DOA) estimation techniques, namely, multiple signal classification (MUSIC) algorithm, delay-and-sum (DAS) beamforming, support vector regression (SVR), multivariate linear regression (MLR) and multivariate curvilinear regression (MCR). Design/methodology/approach: The relative delay between the microphone signals is the key attribute for the implementation of any of these techniques. The machine-learning models SVR, MLR and MCR have been trained using correlation coefficient as the feature set. However, MUSIC uses noise subspace of the covariance-matrix of the signals recorded with the microphone, whereas DAS uses the constructive and destructive interference of the microphone signals. Findings: Variations in root mean square angular error (RMSAE) values are plotted using different DOA estimation techniques at different signal-to-noise-ratio (SNR) values as 10, 14, 18, 22 and 26dB. The RMSAE curve for DAS seems to be smooth as compared to PR1, PR2 and RR but it shows a relatively higher RMSAE at higher SNR. As compared to (DAS, PR1, PR2 and RR), SVR has the lowest RMSAE such that the graph is more suppressed towards the bottom. Originality/value: DAS has a smooth curve but has higher RMSAE at higher SNR values. All the techniques show a higher RMSAE at the end-fire, i.e. angles near 90°, but comparatively, MUSIC has the lowest RMSAE near the end-fire, supporting the claim that MUSIC outperforms all other algorithms considered.