基于无人机平台的图像导引头性能测试方法研究

王毅, 李娜, 李凯, 夏显良, 厚秉新

装备环境工程 ›› 2026, Vol. 23 ›› Issue (1) : 25-32.

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装备环境工程 ›› 2026, Vol. 23 ›› Issue (1) : 25-32. DOI: 10.7643/ issn.1672-9242.2026.01.004
武器装备

基于无人机平台的图像导引头性能测试方法研究

  • 王毅, 李娜*, 李凯, 夏显良, 厚秉新
作者信息 +

Performance Test Methods of Image Guidance Head Based on Unmanned Aerial Vehicle Platform

  • WANG Yi, LI Na*, LI Kai, XIA Xianliang, HOU Bingxin
Author information +
文章历史 +

摘要

目的 保证图像导引头性能的可靠性。方法 针对图像导引头的性能测试需求,以无人机为搭载平台,提出一种基于无人机系统的测试方法,主要进行动态性能、环境适应性等测试。通过在半实物仿真实验室对图像导引头的性能测试与实际搭载飞行试验验证作对比的方式,对图像导引头的识别率、跟踪精度、抗干扰等关键性能指标进行量化评估。结果 采用无人机搭载导引头的方式飞行,图像导引头的识别结果与半实物仿真实验室中的结果基本一致,视线角速度测试的结果偏差仅为0.1 (°)/s。结论 为了充分验证末制导飞行实验条件下图像导引头的性能指标,开展以无人机为测试平台的新技术、新方法具有深刻意义。

Abstract

The work aims to ensure the reliability of image guidance heads. To address the performance testing requirements of the image guidance head, a testing method based on an unmanned aerial vehicle (UAV) system was proposed with focuses on dynamic performance and environmental adaptability tests. Through comparative verification between semi-physical simulation laboratory tests of the image guidance head and actual flight experiments with the head mounted on a UAV, key performance indicators such as recognition rate, tracking accuracy, and anti-interference capability were quantitatively evaluated. The research results showed that when the image guidance head was mounted on a UAV for flight testing, its recognition results were consistent with those obtained in the semi-physical simulation laboratory. The deviation in the line-of-sight angular velocity test results was only 0.1 °/s. To fully validate the performance metrics of the image guidance head under terminal-guided flight test conditions, conducting tests using UAVs as the test platform with new technologies and methods holds significant importance.

关键词

无人机 / 图像导引头 / 识别 / 跟踪 / 重捕 / 性能测试

Key words

unmanned aerial vehicle (UAV) / image guidance head / recognition / tracking / re-capture / performance testing

引用本文

导出引用
王毅, 李娜, 李凯, 夏显良, 厚秉新. 基于无人机平台的图像导引头性能测试方法研究[J]. 装备环境工程. 2026, 23(1): 25-32 https://doi.org/10.7643/ issn.1672-9242.2026.01.004
WANG Yi, LI Na, LI Kai, XIA Xianliang, HOU Bingxin. Performance Test Methods of Image Guidance Head Based on Unmanned Aerial Vehicle Platform[J]. Equipment Environmental Engineering. 2026, 23(1): 25-32 https://doi.org/10.7643/ issn.1672-9242.2026.01.004
中图分类号: TJ765.3   

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