A super-resolution direction of arrival estimation algorithm for coprime array via sparse Bayesian learning inference
From MaRDI portal
Publication:2003306
DOI10.1007/s00034-017-0637-zzbMath1426.94065OpenAlexW2752448126MaRDI QIDQ2003306
Bo Lei, Yixin Yang, Jie Yang, Guisheng Liao
Publication date: 16 July 2019
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-017-0637-z
direction of arrival (DOA)coprime array sparse signal reconstructiondegrees of freedom (DOF)sparse Bayesian learning (SBL)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Positive-definite Toeplitz completion in DOA estimation for nonuniform linear antenna arrays. I. Fully augmentable arrays
- Coherence Pattern–Guided Compressive Sensing with Unresolved Grids
- Sparse and Redundant Representations
- 10.1162/15324430152748236
- Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom
- New Method of Sparse Parameter Estimation in Separable Models and Its Use for Spectral Analysis of Irregularly Sampled Data
- Sparse Sensing With Co-Prime Samplers and Arrays
- Sensitivity to Basis Mismatch in Compressed Sensing
- Direction-of-Arrival Estimation Using a Sparse Representation of Array Covariance Vectors
- Compressed Sensing of Complex Sinusoids: An Approach Based on Dictionary Refinement
- A Discretization-Free Sparse and Parametric Approach for Linear Array Signal Processing
- Direction of Arrival Estimation Using Co-Prime Arrays: A Super Resolution Viewpoint
- Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation
- A sparse signal reconstruction perspective for source localization with sensor arrays
- Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ 1 minimization
This page was built for publication: A super-resolution direction of arrival estimation algorithm for coprime array via sparse Bayesian learning inference