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Title: Hybrid mixed basis vector based direction of arrival estimation using Sparse Bayesian Learning Algorithm
Authors: Mamatha M. C., H. C. Sateesh Kumar
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2022
Volume: 17
Issue: 8
Language: English
Antenna with Non-uniform linear array is sophisticated for the reconfigurable antenna setup. This paper deals with the DOA estimation of signals with non-uniform linear array setup adopting the sparse representation based implementation. A Mixed basis vector based sparse representation is adopted in this paper to predict the DOA estimation. MATLAB based implementation is carried out for the DOA estimation for non-uniform linear array setup and estimation accuracy is analyzed for the proposed work. Estimation accuracy is found from different waveforms generated from the results which involve graphs like Signal to Noise Ratio versus Mean Square Error. The results thus obtained are compared with the traditional methods to validate the performance of the results obtained from the proposed method.
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