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Guiding an Unmanned Aerial Vehicle with a Thermal Imaging Correlation-Contrast Algorithm of Automatic Tracking in Conditions of Information Counteraction
Journal of Computer and Systems Sciences International ( IF 0.6 ) Pub Date : 2024-01-12 , DOI: 10.1134/s1064230723060047
V. A. Boldinov , V. A. Bukhalev , A. A. Skrynnikov , B. L. Shapiro

Abstract

The problem of constructing an algorithm for automatic tracking of a ground object for a guidance system (GS) for an unmanned aerial vehicle (UAV) is considered. The guidance system includes a thermal imaging target coordinator with a combined correlation-contrast direction finding algorithm and a strapdown inertial navigation system. Guidance takes place under conditions of information counteraction, which causes random interruptions in information and random changes in the power of interference, which are recorded by the corresponding indicators. A combined noise-resistant automatic tracking algorithm is obtained, using the readings of information interruption indicators, interference power, and measuring bearing angles, based on the theory of systems with a random jump structure. An example is given that illustrates the operation of the algorithm and demonstrates the satisfactory accuracy of automatic tracking.



中文翻译:

信息对抗条件下自动跟踪热成像相关对比算法制导无人机

摘要

考虑为无人机(UAV)的制导系统(GS)构建自动跟踪地面物体的算法的问题。该制导系统包括具有组合相关对比测向算法的热成像目标协调器和捷联惯性导航系统。引导是在信息对抗的条件下进行的,造成信息的随机中断和干扰强度的随机变化,由相应的指标记录下来。基于随机跳跃结构系统理论,利用信息中断指标读数、干扰功率和测量方位角,得到了一种组合的抗噪声自动跟踪算法。给出了一个例子来说明该算法的操作并展示了令人满意的自动跟踪精度。

更新日期:2024-01-12
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