Elevation and azimuth estimation in arbitrary planar mono-static MIMO radar via tensor decomposition

Ming Yang Cao, Sergiy A. Vorobyov, Xingpeng Mao

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

3 Citations (Scopus)


Elevation and azimuth estimation in arbitrary planar mono-static multiple-input-multiple-output (MIMO) radar via tensor decomposition is proposed. Transmit beamspace design is used to map a planar array into a Khatri-Rao product of two perpendicular desired uniform linear arrays within a range bin of interest, and to suppress sidelobes outside of the range bin of interest. Each desired array has rotational invariance property with respect to elevation and azimuth separately. Then the received MIMO radar data are folded into a fourth-order tensor along each spatial and temporal dimension. A computationally efficient tensor-based target localization method is proposed. Our simulation results demonstrate the effectiveness of the proposed method and its superiority over the matrix-based counterpart.

Original languageEnglish
Title of host publicationProceedings of the 19th IEEE Statistical Signal Processing Workshop, SSP 2016
ISBN (Electronic)9781467378024
Publication statusPublished - 24 Aug 2016
MoE publication typeA4 Article in a conference publication
EventIEEE Statistical Signal Processing Workshop - Palma de Mallorca, Spain
Duration: 26 Jun 201629 Jun 2016
Conference number: 19


WorkshopIEEE Statistical Signal Processing Workshop
Abbreviated titleSSP
CityPalma de Mallorca
Internet address


  • Mono-static MIMO radar
  • parameter estimation
  • tensor decomposition
  • Transmit beamspace


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