DoA estimation via unlimited sensing

S. Fernandez-Menduina, F. Krahmer, G. Leus, A. Bhandari

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)
24 Downloads (Pure)


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.
Original languageEnglish
Title of host publication28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings
Place of PublicationAmsterdam (Netherlands)
Number of pages5
ISBN (Electronic)978-9-0827-9705-3
Publication statusPublished - 2020
EventEUSIPCO 2020: The 28th European Signal Processing Conference - Amsterdam, Netherlands
Duration: 18 Jan 202122 Jan 2021
Conference number: 28th

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491


ConferenceEUSIPCO 2020
OtherDate change due to COVID-19 (former date August 24-28 2020)

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Direction of arrival (DoA) estimation
  • Multichannel
  • Non-linear sensing
  • Sampling theory
  • Sensor arrays


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