Direction Finding by Time Modulated Circular Array using MUSIC Algorithm

In this paper, the Direction of Arrival (DoA) of incident signals over the full azimuthal range is estimated with no direction ambiguity by the Time Modulated Circular Array (TMCA) employing the MUltiple SIgnal Classification (MUSIC) algorithm. The directions of multiple sources can be determined fr...

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Bibliographic Details
Published in2022 URSI Regional Conference on Radio Science (USRI-RCRS) pp. 1 - 4
Main Authors Mathew, Magnel Rose, P, Aswathi, Krishna, Deepti Das, Krishna, P Murali
Format Conference Proceeding
LanguageEnglish
Published International Radio Science Union (URSI) 01.12.2022
Subjects
Direction of Arrival (DoA) Estimation
Direction-of-arrival estimation
Estimation
Mean square error methods
Monte Carlo methods
Multiple signal classification
MUSIC Algorithm
Pattern classification
Simulation
Time Modulated Circular Array (TMCA)
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Summary:In this paper, the Direction of Arrival (DoA) of incident signals over the full azimuthal range is estimated with no direction ambiguity by the Time Modulated Circular Array (TMCA) employing the MUltiple SIgnal Classification (MUSIC) algorithm. The directions of multiple sources can be determined from the MUSIC spatial spectrum. The Mean Square Error (MSE) of the estimation approaches zero at high SNR. The Monte-Carlo simulations are exploited to demonstrate the accuracy of the method. The results are compared to the direction finding method based on the conventional Uniform Circular Array (UCA) with MUSIC algorithm.
DOI:10.23919/URSI-RCRS56822.2022.10118579