2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSAM-2.2
Paper Title CONSTRAINED TENSOR DECOMPOSITION FOR 2D DOA ESTIMATION IN TRANSMIT BEAMSPACE MIMO RADAR WITH SUBARRAYS
Authors Feng Xu, Beijing Institute of Technology, China; Sergiy A. Vorobyov, Aalto University, Finland
SessionSAM-2: Direction of Arrival Estimation 2
LocationGather.Town
Session Time:Tuesday, 08 June, 16:30 - 17:15
Presentation Time:Tuesday, 08 June, 16:30 - 17:15
Presentation Poster
Topic Sensor Array and Multichannel Signal Processing: [SAM-DOAE] Direction of arrival estimation and source localization
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract In this paper, a constrained tensor decomposition method that enables two dimensional (2D) direction of arrival (DOA) estimation for transmit beamspace (TB) Multiple-Input Multiple-Output (MIMO) radar with subarrays is proposed. Specifically, a higher-order tensor model is designed to collect the received signal for TB MIMO radar with multiple subarrays. By exploiting the inner structure of the factor matrix, the constrained tensor decomposition is conducted, and subsequently the target DOA is estimated. In addition, the angular information can also be computed by solving the minimization problem that originates from the second factor matrix to improve the robustness of the 2D DOA estimation. Simulation results validate the proposed approach.