Transmit Array Interpolation for DOA Estimation via Tensor Decomposition in 2D MIMO Radar

Ming Yang Cao, Sergiy A. Vorobyov, Aboulnasr Hassanien

Research output: Contribution to journalArticleScientificpeer-review

29 Citations (Scopus)


In this paper, we propose a two-dimensional (2D) joint transmit array interpolation and beamspace design for planar array mono-static multiple-input-multiple-output (MIMO) radar for direction-of-arrival (DOA) estimation via tensor modeling. Our underlying idea is to map the transmit array to a desired array and suppress the transmit power outside the spatial sector of interest. In doing so, the signal-to-noise ratio is improved at the receive array. Then, we fold the received data along each dimension into a tensorial structure and apply tensor-based methods to obtain DOA estimates. In addition, we derive a closed-form expression for DOA estimation bias caused by interpolation errors and argue for using a specially designed look-up table to compensate for the bias. The corresponding Cramer-Rao bound (CRB) is also derived. Simulation results are provided to show the performance of the proposed method and compare its performance to CRB.

Original languageEnglish
Pages (from-to)5225-5239
Number of pages15
JournalIEEE Transactions on Signal Processing
Issue number19
Publication statusPublished - 19 Oct 2017
MoE publication typeA1 Journal article-refereed


  • 2D MIMO radar
  • array interpolation
  • Direction-of-arrival estimation
  • directionof-arrival estimation
  • Estimation
  • Interpolation
  • MIMO radar
  • Radar antennas
  • Tensile stress
  • tensor decomposition
  • Two dimensional displays


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