MIMO-sparse radars for enhanced DOA estimation of spatio-temporal correlated sources

Navid Amani, Venkat Roy, Alessio Filippi, Rob Maaskant

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal correlated sources when a multiple-input multiple-output (MIMO) sparse radar is deployed. A virtual array with increased degrees-of-freedom (DOF) is realized within two steps by combining MIMO radar with the Khatri-Rao (KR) product approach. Since the final virtual array is a uniform linear array (ULA), a well-known spatial smoothing algorithm is applied to reinforce the rank of its covariance matrix. Meanwhile, the enhanced DOF results in a higher spatial resolution of the radar in the context of DOA estimation.

Original languageEnglish
Title of host publicationProceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages243-246
Number of pages4
ISBN (Electronic)978-1-7281-0566-6
DOIs
Publication statusPublished - 1 Sep 2019
Event9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019 - Granada, Spain
Duration: 9 Sep 201913 Sep 2019

Conference

Conference9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019
CountrySpain
CityGranada
Period9/09/1913/09/19

Fingerprint

MIMO (control systems)
Direction of arrival
arrivals
radar
Radar
degrees of freedom
linear arrays
Covariance matrix
smoothing
spatial resolution
high resolution
products

Keywords

  • DOA estimation
  • Khatri-Rao subspace
  • MIMO radar
  • sparse array

Cite this

Amani, N., Roy, V., Filippi, A., & Maaskant, R. (2019). MIMO-sparse radars for enhanced DOA estimation of spatio-temporal correlated sources. In Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019 (pp. 243-246). [8870432] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/APWC.2019.8870432
Amani, Navid ; Roy, Venkat ; Filippi, Alessio ; Maaskant, Rob. / MIMO-sparse radars for enhanced DOA estimation of spatio-temporal correlated sources. Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019. Piscataway : Institute of Electrical and Electronics Engineers, 2019. pp. 243-246
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Amani, N, Roy, V, Filippi, A & Maaskant, R 2019, MIMO-sparse radars for enhanced DOA estimation of spatio-temporal correlated sources. in Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019., 8870432, Institute of Electrical and Electronics Engineers, Piscataway, pp. 243-246, 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019, Granada, Spain, 9/09/19. https://doi.org/10.1109/APWC.2019.8870432

MIMO-sparse radars for enhanced DOA estimation of spatio-temporal correlated sources. / Amani, Navid; Roy, Venkat; Filippi, Alessio; Maaskant, Rob.

Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019. Piscataway : Institute of Electrical and Electronics Engineers, 2019. p. 243-246 8870432.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Amani N, Roy V, Filippi A, Maaskant R. MIMO-sparse radars for enhanced DOA estimation of spatio-temporal correlated sources. In Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019. Piscataway: Institute of Electrical and Electronics Engineers. 2019. p. 243-246. 8870432 https://doi.org/10.1109/APWC.2019.8870432