Improved set-membership-filtering-based state estimation for target localization system

Key Points

• The improved state estimation enhances overall accuracy in target localization systems, offering reliable tracking.
• Precision improved by 30% when utilizing set-membership filtering algorithms in the testing phase.
• The study applies advanced sensor data techniques to refine target location estimations in real-time scenarios.
• The findings highlight the potential for increased effectiveness in tracking essential for various applications like navigation.