Direction of Arrival Estimation using Conventional Subspace Algorithms
R. Agilesh Saravanan1, Deepak Kumar Naik2, J. Bennilo Fernandes3, S. A. Sivasankari4
1R. Agilesh Saravanan, Electronics and Communication Engineering, Koneru Lakshmaiah Educational Foundation, Guntur District, A.P., India.
2Dr. Deepak Kumar Naik, Electronics and Communication Engineering, Koneru Lakshmaiah Educational Foundation, Guntur District, A.P., India.
3J. Bennilo Fernandes, Electronics and Communication Engineering, Koneru Lakshmaiah Educational Foundation, Guntur District, A.P., India.
4S.A. Sivasankari, Electronics and Communication Engineering, Koneru Lakshmaiah Educational Foundation, Guntur District, A.P., India.
Manuscript received on 25 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 815-819 | Volume-8 Issue-9, July 2019 | Retrieval Number: H7503068819/19©BEIESP | DOI: 10.35940/ijitee.H7503.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In recent times, Direction of Arrival (DOA) Estimation study earns attention in array signal processing and it develops rapidly in several application such as sonar, radar, communication, biomedicine and seismology measurements. The self adaption and spatial spectrum are the broad research area in array processing. The spatial spectrum estimation focused on the signal distribution in the space is received from all direction to receiver. To maintain accuracy in DOA estimation for the antenna array the basic knowledge is required for main beam, and side lobes pattern must be small to suppress signal from other direction. This paper discussed the overview of the Direction of Arrival (DOA) estimation based on classical Sum and delay beamformer, Minimum Variance Distortionless Response (MVDR) technique, Min Norm technique and Multiple Signal Classification (MUSIC) by using the spatial spectrum parameters.
Keywords: MUSIC, DOA, MVDR, Min-Norm, Beamforming
Scope of the Article: Web Algorithms