Gain and Phase Calibration of Uniform Rectangular Arrays Based on Convex Optimization and Neural Networks
A calibration method based on convex optimization (CVX) and neural networks is proposed for the large planar arrays of phased array three-dimensional imaging sonar systems. The method only needs an acoustic calibration source at an unknown position in the far field, and the direction of arrival (DOA...
Main Authors: | Xiran Jie, Bolun Zheng, Boxuan Gu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/5/718 |
Similar Items
-
Gain-Phase Errors Calibration for a Linear Array Based on Blind Signal Separation
by: Zheng Dai, et al.
Published: (2020-07-01) -
A New Gain-Phase Error Pre-Calibration Method for Uniform Linear Arrays
by: Chang Liu, et al.
Published: (2023-02-01) -
Phased array calibration system with high accuracy and low complexity
by: Sol Kim, et al.
Published: (2023-04-01) -
Low-Complexity 2D DOA Estimation and Self-Calibration for Uniform Rectangle Array with Gain-Phase Error
by: Yiduo Guo, et al.
Published: (2022-06-01) -
Extreme Sparse-Array Synthesis via Iterative Convex Optimization and Simulated-Annealing Expanded Array
by: Boxuan Gu, et al.
Published: (2023-03-01)