Alternating Projection Based Unitary Matrix Completion Method for DOA Estimation in Nonuniform Noise
- Resource Type
- Conference
- Authors
- Lin, Luting; Wang, Xianpeng; Lan, Xiang; Han, Zhiguang
- Source
- 2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Information Communication and Signal Processing (ICICSP), 2021 4th International Conference on. :31-35 Nov, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Direction-of-arrival estimation
Simulation
Signal processing algorithms
Estimation
Signal processing
Numerical simulation
Covariance matrices
direction-of-arrival (DOA)
nonuniform noise
real-value
matrix completion
alternating projection
- Language
- ISSN
- 2770-792X
In this paper, an effective algorithm for direction-of-arrival (DOA) estimation in the presence of uncertain nonuniform noise is proposed. The Centro-Hermitian characteristic of the covariance matrix is used to turn the complex-value matrices into real-value ones with the unitary transformation. Then a unitary matrix completion technique via alternating projection is applied to determine the noise-free covariance matrix. Finally, the DOA estimation is obtained by utilizing the unitary subspace-based algorithms. In comparison with existing algorithms, the proposed method provides better performance especially with limited snapshots. Numerical simulations demonstrate the effectiveness of the proposed method.