Terahertz metamaterial phased array scanning radar super-resolution imaging method based on echo angle priors.

Area of Science:

• Electrical Engineering
• Radar Systems
• Metamaterials

Background:

• Terahertz metamaterial phased array (TMPA) scanning radar uses signal processing for super-resolution imaging.
• Existing methods struggle to utilize echo angle prior information, limiting resolution.
• Real-aperture radar echo signals are modeled as convolution of antenna pattern and target scattering coefficient.

Purpose of the Study:

• To propose a novel super-resolution imaging method for TMPA scanning radar.
• To enhance angle resolution by incorporating echo angle prior information.
• To overcome limitations of current super-resolution techniques in radar imaging.

Main Methods:

• Developed a super-resolution imaging method integrating echo angle prior with target sparsity.
• Constructed an objective function using weighted norm and L1 regularization norm.
• Employed norm ratio and generalized cross-validation for hyperparameter selection.

Main Results:

• The proposed method effectively improves the angle resolution of scanning radar.
• Simulation and experimental results validate the enhanced resolution capabilities.
• Performance surpasses traditional sparse angle super-resolution methods.

Conclusions:

• The novel method successfully leverages echo angle prior information for superior resolution.
• This approach offers significant advancements for TMPA scanning radar imaging.
• The findings pave the way for more precise radar imaging applications.