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Journal of Projectiles, Rockets, Missiles and Guidance >

2019 , Vol. 39 >Issue 2: 120 - 124

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2019.02.028

Emitter Recognition Based on Adaptive Weight Attribute Measure and Information Fusion

  • LI Nan
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  • School of Information Engineering, Xijing University, Xi'an 710123, China

Received date: 2018-05-09

  Online published: 2025-05-20

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Abstract

Aiming at low recognition rate of radar emitter in complex electromagnetic environment, a new algorithm based on multi-weight attribute measure and information fusion is presented. The status of emitter recognition research is analyzed, characteristic parameter weights of emitter signal are influence recognition effect, three weights confirm methods are described, which are the weights of AHP, the weights of entropy value and the weights of rough set assignment, meanwhile, the steps of information fusion are list. After that, the emitter recognition algorithm and system are proposed. Simulation results show that the new algorithm have higher emitter recognition rate.

Key words： emitter recognition; analytic hierarchy process; entropy value; rough set; information fusion

Cite this article

LI Nan . Emitter Recognition Based on Adaptive Weight Attribute Measure and Information Fusion[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2019 , 39(2) : 120 -124 . DOI: 10.15892/j.cnki.djzdxb.2019.02.028

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