An Efficient Multi-Path Multitarget Tracking Algorithm for Over-The-Horizon Radar.

Area of Science:

• Radar Systems Engineering
• Signal Processing
• Data Association Algorithms

Background:

• Over-the-horizon radar (OTHR) systems face challenges with multiple detections per target due to signal propagation paths.
• Traditional multitarget tracking algorithms incur high computational costs in such environments.
• Handling uncertainties from both measurement origin and path is crucial for accurate tracking.

Purpose of the Study:

• To propose a novel, computationally efficient algorithm for multitarget tracking in environments with multiple detections per target.
• To reduce the computational load associated with enumerating all possible joint measurement-to-track assignments.

Main Methods:

• Developed the multi-path linear multitarget integrated probabilistic data association (MP-LM-IPDA) algorithm.
• Calculated modulated clutter measurement density for each measurement cell of each track.
• Applied a single target tracking structure for multitarget tracking by incorporating modulated clutter density.

Main Results:

• The MP-LM-IPDA algorithm significantly reduces computational load compared to traditional methods.
• The proposed algorithm effectively tracks multitargets in environments with multiple detections.
• Simulation results validate the effectiveness and efficiency of MP-LM-IPDA.

Conclusions:

• MP-LM-IPDA offers an efficient solution for multitarget tracking in OTHR environments with multi-path detections.
• The algorithm's approach of calculating modulated clutter density simplifies the tracking process.
• This method enhances the practicality of multitarget tracking in complex radar scenarios.