A Sector-Matching Probability Hypothesis Density Filter for Radar Multiple Target Tracking
نویسندگان
چکیده
The development of high-tech, dim, small targets, such as drones and cruise missiles, brings great challenges to radar multi-target tracking (MTT), making it necessary extend the beam dwell time obtain a high signal-to-noise ratio (SNR). In order solve problem sampling variation exacerbated by extending when detecting weak sector-matching (SM) PHD filter is proposed, which combines actual system with quantifies relationship between time, false alarm rate detection probability. proposed divides scanning area into sectors measurement times rederives prediction update steps based on time. Furthermore, state correction step added before extraction. Applying SM structure basic Gaussian mixture (GM-PHD) labeled GM-PHD filter, simulation results demonstrate that can improve accuracy multi-weak-target estimation in dense clutter continuously generate explicit trajectories. overall real-time performance similar filter.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2023
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app13052834