Simulation of Direction of Arrival Using MUSIC Algorithm and Beamforming using Variable Step Size LMS Algorithm

In signal processing applications smart antenna arrays are used to locate sources of various signals and for beamforming. Various algorithms have been developed to determine or estimate the Direction Of Arrival (DOA). Direction Of Arrival estimation is utilized in a number of applications, including...

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Published in2022 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON) pp. 993 - 997
Main Authors Ahmed, IMustaq, Anirudh Koushik, B.A, Charan Kumar, G.M, Neethu, S
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.12.2022
Subjects
Array signal processing
Beamformer
Digital Beamformer
Direction-of-arrival estimation
Directive antennas
Least Mean Square(LMS)
Mathematical models
Mean Square Error
Multiple signal classification
MUSIC
Signal processing algorithms
Simulation
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DOI10.1109/MAPCON56011.2022.10047120

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Summary:In signal processing applications smart antenna arrays are used to locate sources of various signals and for beamforming. Various algorithms have been developed to determine or estimate the Direction Of Arrival (DOA). Direction Of Arrival estimation is utilized in a number of applications, including radar, navigation, communication, etc. Beamforming is a technique used for directive signal transmission and reception. In a smart antenna system antenna arrays adjusts the main lobe towards the desire user and generates null in the direction of interfering users to provide suppression. Objective of this paper is to analyze the performance of Multiple Signal Classification (MUSIC) algorithm a subspace method to estimate DOA and compare with classical Bartlett method of DOA. Beamforming algorithms like LMS and NVSSLMS are studied,analyzed and its performance parameters compared.
DOI:10.1109/MAPCON56011.2022.10047120