Optical heterodyne detection system for a high-speed camera based on the HSA phase compensation method

Area of Science:

• Optical Engineering
• Signal Processing
• Artificial Intelligence

Background:

• Coherent detection systems face challenges with phase compensation, limiting performance.
• Existing swarm intelligence algorithms struggle with high-dimensional phase compensation problems.
• Active optical heterodyne detection is crucial for sensitive signal acquisition.

Purpose of the Study:

• To develop an innovative active optical heterodyne detection system.
• To address phase compensation limitations in coherent detection using swarm intelligence.
• To enhance the practicality and speed of phase correction algorithms.

Main Methods:

• Implemented an active optical heterodyne detection system with a high-speed camera array detector.
• Utilized a heuristic search algorithm (HSA) to convert high-dimensional optimization into one-dimensional problems.
• Applied the HSA for real-time phase correction in large-scale detector arrays.

Main Results:

• The heuristic search algorithm (HSA) significantly improved algorithmic running speed.
• The system demonstrated robust performance with increased array elements, enabling real-time correction.
• Experimental results showed a ~60-fold amplification of the heterodyne signal spectrum amplitude peak.

Conclusions:

• The proposed system offers a practical and efficient solution for phase compensation in coherent detection.
• The heuristic search algorithm (HSA) effectively handles complex, high-dimensional optimization problems.
• This innovative approach shows significant potential for active optical heterodyne detection of dim targets.