DoA estimation via unlimited sensing
File(s)EUSIPCO_2020_Submit.pdf (1.25 MB)
Accepted version
Author(s)
Fernandez-Menduina, Samuel
Krahmer, Felix
Leus, Geert
Bhandari, Ayush
Type
Conference Paper
Abstract
Direction-of-arrival (DoA) estimation is a mature topic with decades of history. Despite the progress in the field, very few papers have looked at the problem of DoA estimation with unknown dynamic range. Consider the case of space exploration or near-field and far-field emitters. In such settings, the amplitude of the impinging wavefront can be much higher than the maximum recordable range of the sensor, resulting in information loss via clipping or sensor saturation. In this paper, we present a novel sensing approach for DoA estimation that exploits hardware-software co-design and is pivoted around the theme of unlimited sensing. On the hardware front, we capitalize on a radically new breed of analog-to-digital converters (ADCs) which, instead of saturating, produce modulo measurements. On the algorithmic front, we develop a mathematically guaranteed DoA estimation technique which is non-iterative and backwards compatible with existing DoA algorithms. Our computer experiments show the efficiency of our approach by estimating DoAs from signals which are orders of magnitude higher than the ADC threshold. Hence, our work paves a new path for inverse problems linked with DoA estimation and at the same time provides guidelines for new hardware development.
Date Issued
2020-12-18
Date Acceptance
2020-12-01
Citation
2020 28th European Signal Processing Conference (EUSIPCO), 2020, pp.1866-1870
ISSN
2076-1465
Publisher
IEEE
Start Page
1866
End Page
1870
Journal / Book Title
2020 28th European Signal Processing Conference (EUSIPCO)
Copyright Statement
Copyright © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000632622300376&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Source
28th European Signal Processing Conference (EUSIPCO)
Subjects
Acoustics
Computer Science
Computer Science, Software Engineering
Direction of arrival ( DoA) estimation
Engineering
Engineering, Electrical & Electronic
Imaging Science & Photographic Technology
LOCALIZATION
multi-channel
non-linear sensing
sampling theory
Science & Technology
SENSOR
sensor arrays
Technology
Publication Status
Published
Start Date
2021-01-18
Finish Date
2021-01-22
Coverage Spatial
Online