Adaptive measurement matrix design in compressed sensing based direction of arrival estimation

Date

2021

Authors

Kılıç, Berkan
Güngör, Alper
Kalfa, Mert
Arıkan, Orhan

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Abstract

Design of measurement matrices is an important aspect of compressed sensing (CS) based direction of arrival (DoA) applications that enables reduction in the analog channels to be processed in sparse target environments. Here, a novel measurement matrix design methodology for CS based DoA estimation is proposed and its superior performance over alternative measurement matrix design methodologies is demonstrated. The proposed method uses prior probability distribution of the targets to improve performance. Compared to the state-of-the-art techniques, it is quantitatively demonstrated that the proposed measurement matrix design approach enables significant reduction in the number of analog channels to be processed and adapts to a priori information on the target scene.

Source Title

2020 28th European Signal Processing Conference (EUSIPCO)

Publisher

IEEE

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Keywords

Direction of arrival estimation, Compressed sensing, Measurement matrix design

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Citation

Published Version (Please cite this version)

Language

English

Type

Conference Paper