Abstract
Existing tensor-based coherent direction-of-arrival (DOA) estimation methods adopting spatial smoothing to decorrelate the coherent tensor statistics usually lead to a poor decorrelation performance. In this letter, we propose a structured tensor reconstruction method for two-dimensional coherent DOA estimation, which then avoids the inefficient spatial smoothing. In particular, after investigating the structural property of the four-dimensional incoherent covariance tensor, we propose a tensorial Hermitian Toeplitz mapping rule to reconstruct a structured covariance tensor from the rank-deficient coherent covariance tensor statistics. It is theoretically proved that, the reconstructed covariance tensor admits a decorrelated canonical polyadic model with a tensorial Hermitian Toeplitz structure, whose decomposition ensures a closed-form coherent DOA estimation. The effectiveness of the proposed method is verified by simulations.
Original language | English |
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Pages (from-to) | 1634-1638 |
Number of pages | 5 |
Journal | IEEE Signal Processing Letters |
Volume | 29 |
DOIs | |
State | Published - 2022 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 1994-2012 IEEE.
Funding
The work of Hang Zheng, Chengwei Zhou, and Zhiguo Shi was supported in part by the National Natural Science Foundation of China under Grants 61901413 and U21A20456, in part by the Research Project of the State Key Laboratory of Industrial Control Technology under Grant ICT2022A02, and in part by the Zhejiang University Education Foundation Qizhen Scholar Foundation, and the 5G Open Laboratory of Hangzhou Future Sci-Tech City.
Funders | Funder number |
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Hangzhou Future Sci-Tech City | |
Zhejiang University Education Foundation Qizhen Scholar Foundation | |
National Natural Science Foundation of China | 61901413, U21A20456 |
State Key Laboratory of Industrial Control Technology | ICT2022A02 |
Keywords
- Coherent DOA estimation
- tensor decorrelation
- tensor reconstruction
- tensorial Hermitian Toeplitz mapping