Digital Magnetic Compass Integration with Stationary, Land-Based Electro-Optical Multi-Sensor Surveillance System

Area of Science:

• Geomatics Engineering
• Sensor Systems
• Robotics and Autonomous Systems

Background:

• Multi-sensor imaging systems integrating Global Navigation Satellite System (GNSS) and Digital Magnetic Compass (DMC) are vital for geo-referencing in long-range surveillance.
• Accurate system heading is a prerequisite for effective geo-referencing and reliable operation of these surveillance systems.
• The performance of DMC heavily relies on appropriate calibration and compensation techniques tailored to specific operational environments.

Purpose of the Study:

• To describe and evaluate a suitable DMC compensation technique for enhancing heading accuracy in long-range surveillance applications.
• To investigate different technical solutions for DMC compensation.
• To experimentally validate the effectiveness of the chosen compensation method and sensor integration.

Main Methods:

• The study focused on the swinging procedure as a key DMC compensation technique.
• Technical solutions for DMC compensation were explored and analyzed.
• A selected DMC was integrated into a system for experimental evaluation under laboratory and field conditions.

Main Results:

• The swinging procedure proved to be an effective solution for DMC compensation in the specified application environment.
• Experimental results confirmed successful integration of the compensated DMC into the surveillance system.
• Heading accuracy measurements validated the system's capability to provide required geo-referencing data.

Conclusions:

• The digital magnetic compass (DMC), when properly compensated using the swinging procedure, can be successfully integrated into long-range surveillance systems.
• The implemented compensation technique and sensor integration enable the system to achieve the necessary heading accuracy for geo-referencing.
• This approach enhances the reliability and applicability of multi-sensor imaging systems in demanding surveillance scenarios.