| 题名 | 红外点源目标识别与抗干扰算法研究 |
| 作者 | 高一军 |
| 学位类别 | 工程硕士 |
| 答辩日期 | 2015-05-29 |
| 授予单位 | 中国科学院大学 |
| 授予地点 | 中国科学院自动化研究所 |
| 导师 | 李学恩 |
| 关键词 | 红外点源目标 目标识别 抗干扰算法 信号处理 infrared point seeker signal recognition anti-jamming algorithm signal process |
| 其他题名 | Study on Recognition and Anti-jamming algorithms of the Infrared |
| 学位专业 | 控制工程 |
| 中文摘要 | 红外点源导引头技术是精确制导的核心技术之一，用来完成对目标的自主搜索、识别和跟踪，具有精度高、效费比高的优点。目标的识别能力和抗干扰能力对红外导引系统而言具有重要意义。随着技术的进步以及红外干扰技术的发展，如何提高红外点源导引系统的目标识别能力和抗干扰能力已经成为一个重要的课题。因此，本论文的研究内容具有重要的理论意义和实用价值。本文主要研究了红外点源导引系统信号处理和抗干扰的理论和算法。 本文基于多元双光谱导引头，首先研究了点源导引头的成像机制和数据特点，并设计了系统目标识别和抗干扰的整体算法流程。然后，通过分析信号、干扰和噪声的特征，在进行大量实验的基础上，采用了高通滤波和小波阈值处理来降低系统噪声。根据系统不同的跟踪状态，针对目标特点，分别设计不同的预处理方式在保证目标特征的完整性前提下，有效地提高数据的信噪比。 最后，在传统的点源目标识别方法基础上，根据系统特点，结合目标运动信息提出了复合的目标识别算法，可以有效的降低虚警率。结合系统多探元的特点和目标运动特性，对二维视场进行了还原，并在此基础上，设计了基于目标能量和运动信息，结合目标运动的时间序列和空间序列的抗干扰算法。 与传统方法相比，本文不仅实现了较高的识别率，也获得了较低的虚警率。对红外点源目标识别和抗干扰算法具有重要的理论和实用价值。 |
| 英文摘要 | With the air superiority of high guidance precision and cost-effective, infrared point seeker is one of core technology of precise tracking, which is used to complete the process of search, identification and tracking automatically. The ability of target recognition and anti-jamming is vital to the infrared point seeker system. With the development of the technology and the infrared jamming technology, how to improve the ability of target recognition and anti-jamming has become a significant issue. In this paper, the research is based on theoretical algorithms of the signal processing and anti-jamming involved in infrared point seeker. Based on infrared point seeker system, this paper firstly studies the signal acquisition mechanism and the characteristics of data, and then designs integral process for the signal recognition and anti-jamming algorithm. Secondly, by analyzing the characteristics of the signal, interference and noise, high-pass filter and wavelet threshold filer are designed through large amount of experiments. According to different tracking states of the seeker system, correspondent pre-processing algorithms are proposed to ensure the integrity of the target feature and to increase signal to noise ratio. Finally, on the basis of point seeker identification, combined with the target motion information, a complex recognition algorithm is proposed which can effectively reduce the false alarm rate. Combining characteristics of the multi-element probe and target motion, a two-dimensional visual field was restored. A anti-jamming algorithm was designed using the time series and spatial sequence of target filed to get the information of the motion and energy of the target. Compared with traditional methods, this paper is not only to achieve a high recognition rate, but also get a low false alarm rate. This paper has important theoretical and practical value of the infrared point source target recognition and anti-jamming algorithms. |
| 语种 | 中文 |
| 其他标识符 | 2012E8014661084 |
| 内容类型 | 学位论文 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/7758]  |
| 专题 | 毕业生_硕士学位论文 |
| 推荐引用方式 GB/T 7714 | 高一军. 红外点源目标识别与抗干扰算法研究[D]. 中国科学院自动化研究所. 中国科学院大学. 2015. |
| 个性服务 |
| 查看访问统计 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论