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Proceedings Paper

The challenges and some thinking for the intelligentization of precision guidance ATR
Author(s): Jinxiang Fan; Jia Liu
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Paper Abstract

In recent years, with the raising of the effectiveness and importance of precision guided weapons in the modern high-technology war, the development of precision guidance system has made outstanding achievements. But because the targets, environment and mission of the precision guidance system have been changed significantly, the complexity of the battlefield environment and the uncertainty of the target characteristics bring new challenges to the development of precision guidance systems and technology. To make the missile adapt to the complex and varying battlefield environment and engage various targets accurately, the concepts of intelligent missile and the intelligentization of precise guidance system based on artificial intelligence technology are put forward. Although the concept of intelligent missile has been put forward for many years,the development of the existing precision guidance system still suffers from the lag of the capability of intelligentization. There is still no good solution to the problem of automatic target recognition and decision making in complex battlefield environment with high intelligence. It is difficult to meet the requirement to adapt to the complex and varying battlefield environment and engage various targets accurately under the fierce countermeasure conditions. Focusing on the precise guidance automatic target recognition, in this paper,the development process of the intelligent precise guidance ATR system is introduced. The challenges faced by the current precision guidance ATR system’s intellectualization is analyzed. Some superficial views on the development of the intelligent ATR are given.

Paper Details

Date Published: 19 September 2019
PDF: 9 pages
Proc. SPIE 11169, Artificial Intelligence and Machine Learning in Defense Applications, 111690P (19 September 2019); doi: 10.1117/12.2532261
Show Author Affiliations
Jinxiang Fan, Shanghai Institute of Mechanical and Electrical Engineering (China)
Jia Liu, North Automatic Control Technology Institute (China)

Published in SPIE Proceedings Vol. 11169:
Artificial Intelligence and Machine Learning in Defense Applications
Judith Dijk, Editor(s)

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