Journal of Projectiles, Rockets, Missiles and Guidance >
An Anti-cross-eye Method Based on Label Probability HypothesisDensity Filter
Received date: 2017-09-01
Online published: 2025-05-28
Cross-eye jamming causes the tracking radar aiming towards the false direction of the stronger jamming by means of wave-front distortion, then makes the radar angle measurement and tracking failure. In this article, based on random finite set (RFS) a label Probability Hypothesis Density (PHD) filter is used as an anti-cross-eye method by determining the position of the real target. This method builds two different models for target and jamming, assigns different labels to them by prediction, correction, resampling, state estimation and track extraction, and uses the labels to distinguish between target and jamming. The simulation refers that the label PHD filter can recognize and estimate the state information of the target correctly in the presence of cross-eye jamming, and the estimation error is small.
Key words： label; PHD filter; cross-eye; anti-cross-eye; RFS
CHEN Anna . An Anti-cross-eye Method Based on Label Probability HypothesisDensity Filter[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2018 , 38(2) : 111 -115 . DOI: 10.15892/j.cnki.djzdxb.2018.02.025
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