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Neuro-fuzzy techniques for airborne target tracking
Wing Ching, I.P.; Liu Yongzhi; Chin, L.; Mital, D.;
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Volume 2,
21-23 April 1998
Page(s):251
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257 vol.2
Abstract:
In air defence system, surveillance radar with conventional tracking algorithm may not be able to track multiple targets accurately especially in a dense and cluttered environment, jamming and electronic counter measures. In this paper, an investigation has been carried out to implement the conventional tracking algorithms in conjunction with the neuro-fuzzy technique in such a way that the tracking error can be minimised and the manoeuvring target trajectories can be predicted. The tracking performance of the proposed approaches, called neuro-fuzzy aided joint probabilistic data association, and neuro-fuzzy aided nearest neighbour probabilistic data association, have been simulated. Results show that the proposed approaches yield improvement in tracking accuracy as well as resolving closely spaced tracks
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