[Research on static Fourier interferometer in target identification]

Area of Science:

• Optics and Photonics
• Remote Sensing Technology
• Spectroscopy

Context:

• Traditional mechanical scanning interferometers face challenges with complex structures and poor identification stability.
• Remote detection in adverse environments requires robust and stable identification methods.
• Wide field-of-view target identification is crucial for various surveillance and monitoring applications.

Purpose:

• To propose a new remote target identification method using a static Fourier interferometer and spectrum analysis.
• To overcome the limitations of mechanical scanning interferometers by employing static scanning techniques.
• To achieve reliable target identification in challenging environmental conditions and wide fields of view.

Summary:

• A static Fourier interferometer technique was developed, replacing mechanical scanning with static spectrum analysis of interference fringes.
• Spectro-radiometric functions were simulated, incorporating temperature, wavelength, and air transmittance, and analyzing background radiation characteristics.
• Experimental validation using an AViiVA-M2 CCD camera and a Static Fourier Interferometer demonstrated the feasibility of the difference spectrum method, achieving an average detection probability of 92.8%.

Impact:

• Enables feasible and stable remote target identification in adverse environmental conditions.
• Provides a reliable method for analyzing spectral data and identifying targets based on difference spectrum.
• Significantly improves the probability of detection for remote sensing applications.