基于深度学习的高频地波雷达特定目标跟踪方法研究

项目名称： 基于深度学习的高频地波雷达特定目标跟踪方法研究

项目编号： No.61501520

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 无线电电子学、电信技术

项目作者： 孙伟峰

作者单位： 中国石油大学（华东）

项目金额： 19万元

中文摘要： 高频地波雷达是海上运动目标大范围连续、主动探测的一种重要手段。前期研究表明，仅根据地波雷达自身的探测数据难以得到准确、稳定的目标航迹，而引入目标的先验知识可明显改善目标跟踪性能,成为地波雷达目标跟踪方法的发展趋势。本项目聚焦特定目标跟踪的具体应用，研究如何有效利用同步观测获取的目标信息提高地波雷达独立跟踪探测性能的方法。拟基于深度学习的思想，重点研究地波雷达与同步观测目标信息的特征及其关联关系，提出目标运动模型的自适应判别方法，并开展跟踪算法中相关参数的优化方法研究，解决状态预测时运动模型的判别以及数据关联与状态滤波过程中相关参数的估计等问题，实现特定目标的连续、准确跟踪。开展多手段合作目标跟踪探测实验，对方法的有效性及适用性进行验证。本项目提出的地波雷达特定目标跟踪方法，对目标跟踪方法的理论研究及地波雷达目标跟踪系统的业务化应用均具有重要意义及参考价值。

中文关键词： 雷达目标；知识辅助跟踪；高频地波雷达；特定目标跟踪；深度学习

英文摘要： High-frequency surface wave radar (HFSWR) is an important means for continuous and active detection of moving targets within wide range at sea. Early research has shown that it is difficult to obtain accurate and reliable track only based on the HFSWR data, while prior knowledge can significantly improve the target tracking performance. And knowledge-based methods are becoming the development trend for HFSWR target tracking methods. This project focuses on the application scenario of specified target tracking using HFSWR, based on the idea of deep learning, the target track information obtained by synchronous assisted detection methods will be investigated deeply to establish the relationships with the track information provided by HFSWR, and reliable priori knowledge useful for assisting HFSWR independent tracking will be learned. And then adaptive motion model recognition methods as well as key parameters estimation methods in tracking algorithms will be developed with deep learning and optimization methods employed. The problems such as the motion model recognition during state prediction, parameters estimation both during data association and state filtering procedures will be well addressed for achieving continuous and accurate tracking of specified targets. Detection and tracking experiments of a cooperative target will be conducted integrating multiple tracking methods to validate the effectiveness and applicability of the proposed schemes. The specified target tracking methods proposed in this project will have important significance and reference value both for the research of tracking methods and for the applications of HFSWR target tracking systems.

英文关键词： Radar Targets;Knowledge assisted tracking;High-frequency Surface Wave Radar;Specified target tracking;Deep Learning