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弹箭与制导学报 >

2021 , Vol. 41 >Issue 6: 18 - 22

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.06.004

基于Zynq的空空导弹末端识别与定位系统研究

  • 王西超 1 ,
  • 高颂 2 ,
  • 浦乐 3 ,
  • 曲晓雷 4
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  • 1 上海电机学院电气学院,上海 201306
  • 2 河南科技大学农业装备工程学院,河南洛阳 471003
  • 3 中国空空导弹研究院,河南洛阳 471000
  • 4 沈阳飞机设计研究所,沈阳 110035

王西超(1982—),男,河南平顶山人,讲师,博士,研究方向:机器视觉,嵌入式系统设计。

收稿日期: 2020-01-10

  网络出版日期: 2025-02-07

基金资助

航空科学基金(201701120060)

航空科学基金(20175152037)

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Research on Terminal Recognition and Location System of Airborne Missile Based on Zynq

  • WANG Xichao 1 ,
  • GAO Song 2 ,
  • PU Le 3 ,
  • QU Xiaolei 4
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  • 1 College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China
  • 2 College of Agricultural Equipment Engineering, Henan University of Science and Technology, Henan Luoyang 471003, China
  • 3 China Airborne Missile Academy, Henan Luoyang 471000, China
  • 4 Shenyang Aircraft Design and Research Institute,Shenyang 110035, China

Received date: 2020-01-10

  Online published: 2025-02-07

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摘要

针对目前空空导弹末端识别与定位速度低下的问题,提出一种基于显著性分析的红外小目标检测算法,结合SVM分类器,实现飞机红外目标的快速检测与识别。硬件利用Zynq-7000处理器,并基于Vivado HLS对显著性分析中的频域残差计算模块进行高层次硬件综合,构建硬件IP核,实现FPGA端的专用算法硬件加速。在Zybo平台上搭建嵌入式图像处理系统,以某大型运输机和某型战斗机为目标,实验结果表明,运输机和战斗机的识别率达到99%以上,定位速度达到每帧0.25 s。

关键词： 红外图像; 空空导弹; 末端识别; Zynq; Vivado HLS

本文引用格式

王西超 , 高颂 , 浦乐 , 曲晓雷 . 基于Zynq的空空导弹末端识别与定位系统研究[J]. 弹箭与制导学报, 2021 , 41(6) : 18 -22 . DOI: 10.15892/j.cnki.djzdxb.2021.06.004

Abstract

In order to solve the problems of low speed of terminal recognition and location of airborne missile,an infrared small target detection algorithm based on saliency analysis is proposed,combined with SVM classifier, the fast detection and recognition of aircraft infrared target is realized.This paper gives full play to the advantages of the Zynq-7000 embedded processors which including ARM+FPGA. Based on Vivado HLS, the frequency domain residual algorithm is synthesized, and its hardware IP core is constructed to achieve hardware acceleration at the FPGA part,IP core is called by software algorithm of ARM to improve image processing speed. An embedded image processing system for airborne missile terminal is built on Zybo platform, and a transport aircraft and a fighter aircraft are used as experimental objects. The experimental results show that the recognition rate of transporter and fighter is over 99% and the positioning speed is 0.25 s per frame.

Key words： infrared image; airborne missile; terminal recognition; Zynq; Vivado HLS

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