Sparsity-based DOA estimation with gain and phase error calibration of generalized nested array
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Publication:2193305
DOI10.1155/2020/1720310zbMath1459.94033OpenAlexW3046765144MaRDI QIDQ2193305
Guoping Hu, Ziang Feng, Hao Zhou
Publication date: 25 August 2020
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2020/1720310
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13)
Cites Work
- Eigenstructure methods for direction finding with sensor gain and phase uncertainties
- Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom
- Sparse Sensing With Co-Prime Samplers and Arrays
- Maximum Likelihood Direction Finding in Spatially Colored Noise Fields Using Sparse Sensor Arrays
- An Eigenstructure Method for Estimating DOA and Sensor Gain-Phase Errors
- Target Detection and Localization Using MIMO Radars and Sonars
- Sparsity-Based Two-Dimensional DOA Estimation for Coprime Array: From Sum–Difference Coarray Viewpoint
- Super Nested Arrays: Linear Sparse Arrays With Reduced Mutual Coupling—Part I: Fundamentals
- Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation
- Maximum likelihood localization of multiple sources by alternating projection
- Direction Finding With Partly Calibrated Uniform Linear Arrays
- Calibrating Nested Sensor Arrays With Model Errors
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