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Hybrid mixed basis vector based direction of arrival estimation using Sparse Bayesian Learning Algorithm


Article Information

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

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2022

Volume: 17

Issue: 8

Language: English

Categories

Abstract

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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