Journal
IEEE SIGNAL PROCESSING LETTERS
Volume 28, Issue -, Pages 1545-1549Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2021.3099074
Keywords
Tensors; Estimation; Direction-of-arrival estimation; Array signal processing; Sensor arrays; Antenna arrays; Geometry; Coarray tensor; coprime L-shaped array; coupled CPD; DOA estimation
Categories
Funding
- National Natural Science Foundation of China [U1909207, 61901413, 61772467]
- Consulting Research Project of the Chinese Academy of Engineering [2019-XZ-7]
- National Key R&D Program of China [2018YFE0126300]
- 5G Open Laboratory of Hangzhou Future Sci-Tech City
Ask authors/readers for more resources
In this letter, we propose a two-dimensional DOA estimation method based on coupled coarray tensor CPD, which utilizes a shifting coarray concatenation approach to factorize multiple coarray tensors and jointly decompose them to achieve high-accuracy DOA estimation. The proposed method guarantees an increased number of degrees-of-freedom for DOA estimation according to the uniqueness condition analysis on the coupled coarray tensor CPD.
Conventional canonical polyadic decomposition (CPD) approach for tensor-based sparse array direction-of-arrival (DOA) estimation typically partitions the coarray statistics to generate a full-rank coarray tensor for decomposition. However, such an operation ignores the spatial relevance among the partitioned coarray statistics. In this letter, we propose a coupled coarray tensor CPD-based two-dimensional DOA estimation method for a specially designed coprime L-shaped array. In particular, a shifting coarray concatenation approach is developed to factorize the partitioned fourth-order coarray statistics into multiple coupled coarray tensors. To make full use of the inherent spatial relevance among these coarray tensors, a coupled coarray tensor CPD approach is proposed to jointly decompose them for high-accuracy DOA estimation in a closed-form manner. According to the uniqueness condition analysis on the coupled coarray tensor CPD, an increased number of degrees-of-freedom for the proposed method is guaranteed.
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