论文:2022,Vol:40,Issue(1):69-75
引用本文:
田朝旭, 程咏梅, 张晓冬, 杨速, 姚顺. 海域地标点可用性评估算法[J]. 西北工业大学学报
TIAN Zhaoxu, CHENG Yongmei, ZHANG Xiaodong, YANG Su, YAO Shun. Usability evaluation algorithm of sea area landmark[J]. Northwestern polytechnical university

海域地标点可用性评估算法
田朝旭1, 程咏梅1, 张晓冬2, 杨速1, 姚顺1
1. 西北工业大学 自动化学院, 陕西 西安 710129;
2. 航空工业西安飞行自动控制研究所, 陕西 西安 710065
摘要:
针对飞行器在海域景象匹配导航(SMN)中可遇到的地标点较少且分布不均匀,不能有效辅助惯性导航(INS)的问题,提出了基于概率模型的地标点可用性评估算法。该算法定义了三类海域地标点,给出了三类地标点的匹配方法和策略;根据飞行区内每个位置与所有地标点之间的相对关系、飞行高度、飞行速度、相机的视场角以及INS漂移误差确定每个地标点的可见范围,并结合不同类型地标点在不同飞行高度下的匹配概率,计算得到每个位置的地标点可观测概率,最终给出海域地标点可用性的概率云图。仿真结果验证了该算法的有效性。海域地标点可用性评估结果可为INS有效利用地标点进行航路规划,实现长航时、高精度导航提供依据。
关键词:    景象匹配    海域地标点    匹配概率    可用性评估   
Usability evaluation algorithm of sea area landmark
TIAN Zhaoxu1, CHENG Yongmei1, ZHANG Xiaodong2, YANG Su1, YAO Shun1
1. School of Automation, Northwestern Polytechnical University, Xi'an 710129, China;
2. AVIC Xi'an Flight Automatic Control Research Institute, Xi'an 710065, China
Abstract:
The landmarks encountered by a flight vehicle in its scene matching navigation are insufficient and distributed unevenly, thus being unable to effectively assist in its inertial navigation system (INS). Therefore, this paper proposes a novel algorithm for sea area landmark usability evaluation based on the probability model. The algorithm defines three types of sea area landmarks and gives their matching method and strategy. The visible range of each sea area landmark is determined according to its relative relations between each position and all landmarks in flight area, flight altitude, flight speed, camera field of view angle and INS drift error. The matching probability of different types of landmarks at different flight altitudes is calculated. Then the observable probability of each landmark is reckoned to give the probability cloud of the sea area landmark usability. The simulation results verify the effectiveness of the algorithm. The sea area landmark usability evaluation results can provide bases for INS to effectively utilize landmarks to perform route planning and realize long-time flight and high-precision navigation.
Key words:    scene matching    sea area landmark    matching probability    usability evaluation   
收稿日期: 2021-04-19     修回日期:
DOI: 10.1051/jnwpu/20224010069
基金项目: 国家自然科学基金(U20B2067)、盲信号处理国家重点实验室稳定支持项目(61424131903)资助
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作者简介: 田朝旭(1991—),西北工业大学博士研究生,主要从事视觉导航研究。e-mail:tianzx1991@mail.nwpu.edu.cn
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参考文献:
[1] 赵春晖, 周昳慧, 林钊, 等. 无人机景象匹配视觉导航技术综述[J]. 中国科学:信息科学, 2019, 49(5):507-519 ZHAO Chunhui, ZHOU Yihui, LIN Zhao, et al. Review of scene matching visual navigation for unmanned aerial vehicles[J]. Scientia Sinica Informationis, 2019, 49(5):507-519(in Chinese)
[2] 贾万波, 王宏力, 杨建飞. 景象匹配辅助导航在弹道导弹末制导中的应用[J]. 战术导弹技术, 2009, 92(5):62-65 JIA Wanbo, WANG Hongli, YANG Jianfei. Application of scene matching aided navigation in terminal guidance of ballistic missile[J]. Journal of Tactical Missile Technology, 2009, 92(5):62-65(in Chinese)
[3] DUAN X J, ZHANG S D, PENG L J. Uncertainty quantification towards filtering optimization in scene matching aided navigation systems[J]. International Journal for Uncertainty Quantifications, 2016, 6(2):127-140
[4] BARBOUR N, SCHMIDT G. Inertial sensor technology trends[J]. IEEE Sensors Journal, 2001, 1(4):332-339
[5] 董进武. 惯性导航技术浅析[J]. 仪表技术, 2017(1):41-43 DONG Jinwu. Analysis on inertial navigation technology[J]. Journal of Instrumentation Technology, 2017(1):41-43(in Chinese)
[6] 沈林成, 卜彦龙, 徐昕, 等. 景象匹配辅助组合导航中景象区域适配性研究进展[J]. 航空学报, 2010, 31(3):553-563 SHEN Lincheng, BU Yanlong, XU Xin, et al. Research on matching-area suitability for scene matching aided navigation[J]. Journal of Aeronautics, 2010, 31(3):553-563(in Chinese)
[7] 公续平, 程咏梅, 宋琳, 等. 景象匹配导航中的航路点自动提取算法[J]. 计算机仿真, 2014, 31(8):60-63 GONG Xuping, CHENG Yongmei, SONG Lin, et al. Automatic extraction algorithm of landmarks for scene-matching-based navigation[J]. Journal of Computer Simulation, 2014, 31(8):60-63(in Chinese)
[8] LIU X C, WANG H, DAN F, et al. An area-based position and attitude estimation for unmanned aerial vehicle navigation[J]. Science China Technological Sciences, 2015, 58(5):916-926
[9] ANDREA M, ANTONIO V. Improved feature matching for mobile devices with IMU[J]. Sensors, 2016, 16(8):1243
[10] 徐建东. 基于最小二乘法拟合的Otsu快速图像分割方法[J]. 常州大学学报, 2021, 33(1):70-76 XU Jiandong. A fast Ostu image segmentation method based on least square fitting[J]. Journal of Changzhou University, 2021, 33(1):70-76(in Chinese)
[11] HE Y, WANG H, FENG L, et al. Centroid extraction algorithm based on grey-gradient for autonomous star sensor[J]. International Journal for Light and Electron Optics, 2019, 194:162932
[12] CUI Z J, QI W F, LIU Y X. A fast image template matching algorithm based on normalized cross correlation[C]//2020 Conference on Computer Information Science and Artificial Intelligence, 2020
[13] 张磊, 周宇, 林荣峰, 等. 一种快速三角形星图识别算法[J]. 应用光学, 2018, 39(1):71-75 ZHANG Lei, ZHOU Yu, LIN Rongfeng, et al. Fast triangle star pattern recognition algorithm[J]. Journal of Applied Optics, 2018, 39(1):71-75(in Chinese)
[14] 郭磊, 李保权, 曹阳, 等. 基于三角形匹配的星图识别算法及优化[J]. 电子设计工程, 2018, 26(5):137-140 GUO Lei, LI Baoquan, CAO Yang, et al. Star map recognition algorithm based on triangle matching and optimization[J]. Electronic Design Engineering, 2018, 26(5):137-140(in Chinese)
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