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[an error occurred while processing this directive]Journal of Projectiles, Rockets, Missiles and Guidance >
Research on Terminal Recognition and Location System of Airborne Missile Based on Zynq
Received date: 2020-01-10
Online published: 2025-02-07
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
WANG Xichao , GAO Song , PU Le , QU Xiaolei . Research on Terminal Recognition and Location System of Airborne Missile Based on Zynq[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(6) : 18 -22 . DOI: 10.15892/j.cnki.djzdxb.2021.06.004
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