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Data fusion of radar and IFF for aircraft identification

机译:用于飞机识别的雷达和IFF的数据融合

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摘要

The problem of identification of friend-or-foe aircraft in the actual application condition is addressed.A hybrid algorithm combining fuzzy neutral network with probability factor(FNNP),multi-level fuzzy comprehensive evaluation and the DempsterShafer(D-S) theory is proposed.This hybrid algorithm constructs a complete process from generating the fuzzy database to the final identification,realizes the identification of friend-or-foe automatically if the training samples or expert's experience can be obtained,and reduces the effect of uncertainties in the process of identification.At the same time,the whole algorithm can update the identification result with the augment of observations.The performance of the proposed algorithm is assessed by simulations.Results show that the proposed algorithm can successfully deduce the aircraft's identity even if the observations have measurement errors.

著录项

  • 来源
    《系统工程与电子技术(英文版)》 |2012年第5期|715-722|共8页
  • 作者单位

    School of Electronic Engineering University of Electronic Science and Technology of China Chengdu 611731 P.R.China;

    Sichuan Jiuzhou Electronic Technology Company Mianyang 621000 P.R.China;

    School of Electronic Engineering University of Electronic Science and Technology of China Chengdu 611731 P.R.China;

    School of Electronic Engineering University of Electronic Science and Technology of China Chengdu 611731 P.R.China;

    School of Electronic Engineering University of Electronic Science and Technology of China Chengdu 611731 P.R.China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类
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  • 入库时间 2022-08-19 04:47:29
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