Journal
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
Volume -, Issue -, Pages 4380-4384Publisher
IEEE
DOI: 10.1109/ICASSP39728.2021.9413987
Keywords
Constrained tensor decomposition; Direction of arrival estimation; MIMO radar with subarrays
Categories
Funding
- Academy of Finland [299243]
- China Scholarship Council
- Academy of Finland (AKA) [299243, 299243] Funding Source: Academy of Finland (AKA)
Ask authors/readers for more resources
This paper proposes a constrained tensor decomposition method for 2D DOA estimation in TB MIMO radar with subarrays. By utilizing the inner structure of factor matrix, the method successfully estimates the target DOA and computes angular information to enhance the robustness of the estimation. Simulation results confirm the effectiveness of the proposed approach.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available