多传感器组网的航空目标三维定位算法

彭锐晖; 郭玮; 钱海宁; 谭顺成; 谭硕

doi:10.12263/DZXB.20240300

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多传感器组网的航空目标三维定位算法

学术论文 | 更新时间：2025-12-11

- 多传感器组网的航空目标三维定位算法
- Multi-Sensor Network-Based Three-Dimensional Positioning Algorithm for Airborne Targets
- 电子学报 2024年52卷第12期页码：4059-4073
- 作者机构：
  
  1.哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨 150001
  2.哈尔滨工程大学青岛创新发展中心，山东青岛 266000
  3.海军航空大学信息融合研究所，山东烟台 264001
  4.中国航天科技创新研究院，北京 100032
- 作者简介：
  
  [ "彭锐晖男，1979年9月生，湖北武汉人.哈尔滨工程大学教授、博士生导师.主要研究方向为多源融合探测、雷达抗干扰与目标特性技术.E-mail: pengruihui@hrbeu.edu.cn" ]
  [ "郭玮男，2000年8月生，江西萍乡人.哈尔滨工程大学硕士研究生.主要研究方向为多传感器融合与目标定位跟踪.E-mail: gwhello83@163.com" ]
- 基金信息：
  
  国防科技重点实验室基金(2023-JCJQ-LB-016);航天科技集团稳定支持项目(ZY0110020009)
- DOI：10.12263/DZXB.20240300
  中图分类号： TP212.9;
- 收稿：2024-04-08，
  
  修回：2024-07-24，
  
  纸质出版：2024-12-25
- 稿件说明：
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彭锐晖, 郭玮, 钱海宁, 等. 多传感器组网的航空目标三维定位算法[J]. 电子学报, 2024, 52(12): 4059-4073.

PENG Rui-hui, GUO Wei, QIAN Hai-ning, et al. Multi-Sensor Network-Based Three-Dimensional Positioning Algorithm for Airborne Targets[J]. Acta Electronica Sinica, 2024, 52(12): 4059-4073.
彭锐晖, 郭玮, 钱海宁, 等. 多传感器组网的航空目标三维定位算法[J]. 电子学报, 2024, 52(12): 4059-4073. DOI：10.12263/DZXB.20240300

PENG Rui-hui, GUO Wei, QIAN Hai-ning, et al. Multi-Sensor Network-Based Three-Dimensional Positioning Algorithm for Airborne Targets[J]. Acta Electronica Sinica, 2024, 52(12): 4059-4073. DOI：10.12263/DZXB.20240300

摘要

由于航空目标相对地面目标具有更快的运动速度、更广的运动范围，对航空目标的三维精确定位极具挑战性.本文提出了一种多传感器组网的航空目标三维定位算法，以两个高空无人飞艇各载一部光学传感器设备，无人机-艇载双基地两坐标雷达，多平台协同实现对航空目标的精确定位为研究背景，解决了由于各传感器量测维度欠完备、无法独立获得目标三维空间精确位置，导致传统点迹关联、目标定位方法失效等问题.首先，在空间对准的基础上提出了基于角度-距离两级点迹关联算法，实现多传感器缺维量测的有效关联；其次，通过目标引导点构建、椭球空间Nelder-Mead欧氏距离寻优、方位面空间投影，在各空间量测模型上确定目标初始定位点；最后，通过无迹变换和同源数据压缩得到目标精确定位点.仿真结果表明，该算法实现了缺维情况下雷达-双光学量测数据的稳定关联，且对航空目标的最优定位误差可达到115.7 m.

Abstract

Accurately locating aviation targets in three dimensions presents formidable challenges owing to their high-speed movements and expansive maneuverability compared to ground targets. This paper presents a three-dimensional positioning algorithm for aerial targets based on a multi-sensor network. Using two high-altitude unmanned airships

each equipped with an optical sensor device

and UAV-shipborne bistatic dual-coordinate radars

the study focuses on achieving precise positioning of aerial targets through multi-platform collaboration. This approach addresses the limitations of traditional methods

which often fail due to the incomplete measurement dimensions of individual sensors

preventing accurate independent determination of the target’s 3D spatial position. Our approach begins with the introduction of a two-level point-trace correlation algorithm grounded in spatial alignment

leveraging both angle and distance to effectively correlate non-dimensional measurements from multiple sensors. Subsequently

we establish the initial positioning points of the target on each spatial measurement model through the construction of target guidance points

employing techniques such as ellipsoidal space Nelder-Mead Euclidean distance optimization and azimuth space projection. Finally

precise positioning points of the target are obtained through the utilization of unscented transform and homologous data compression.Simulation results demonstrate the efficacy of our algorithm in achieving stable correlation of radar-dual optical measurement data

even in scenarios where dimensionality is lacking. Notably

our algorithm achieves an optimal positioning error for aviation targets as low as 115.7 meters.

关键词

Keywords

references

臧路尧 , 林德福 , 杨哲 , 等 . 红外制导弹药协同定位跟踪方法研究 [J ] . 红外与激光工程 , 2018 , 47 ( 4 ): 124 - 130 .

ZANG L Y , LIN D F , YANG Z , et al . Research on cooperative location and tracking approach of infrared guided munition [J ] . Infrared and Laser Engineering , 2018 , 47 ( 4 ): 124 - 130 . (in Chinese)

傅晋博 , 张栋 , 王孟阳 , 等 . 面向目标定位精度提升的无人机航迹规划 [J ] . 兵工学报 , 2023 , 44 ( 11 ): 3394 - 3406 .

FU J B , ZHANG D , WANG M Y , et al . Unmanned aerial vehicle path planning for improved target positioning accuracy [J ] . Acta Armamentarii , 2023 , 44 ( 11 ): 3394 - 3406 . (in Chinese)

杨丽娟 . 分布式多基地雷达目标定位方法研究 [D ] . 武汉 : 武汉大学 , 2021 .

YANG L J . Research on Target Location Method of Distributed Multi-base Radar [D ] . Wuhan : Wuhan University , 2021 . (in Chinese)

周治国 , 马文浩 . 一种多层多模态融合3D目标检测方法 [J ] . 电子学报 , 2024 , 52 ( 3 ): 696 - 708 .

Zhou Z G , MA W H . 3D object detection based on multilayer multimodal fusion [J ] . Acta Electronica Sinica , 2024 , 52 ( 3 ): 696 - 708 . (in Chinese)

高继蕊 , 李华锋 , 张亚飞 , 等 . 双注意力引导的细节和结构信息融合图像去雾网络 [J ] . 电子学报 , 2023 , 51 ( 1 ): 160 - 171 .

GAO J X , LI H F , ZHANG Y F , et al . Dual attention-guided detail and structure information fusion network for image dehazing [J ] . Acta Electronica Sinica , 2023 , 51 ( 1 ): 160 - 171 . (in Chinese)

KAITY S , DAS L , JANA B , et al . Multi-sensor data fusion using triangulation method and K-means algorithm [C ] // 2023 3rd International Conference on Range Technology (ICORT) . Piscataway : IEEE , 2023 : 1 - 6 .

姜勤波 , 杨利锋 , 马红光 . 机载单站多目标无源定位算法 [J ] . 系统工程与电子技术 , 2006 ( 7 ): 946 - 948, 964 .

JIANG Q B , YANG L F , MA H G . Algorithm of the single airborne observer multi-target passive location [J ] . Systems Engineering and Electronics , 2006 ( 7 ): 946 - 948, 964 . (in Chinese)

刘宗香 , 黄敬雄 , 杨烜 , 等 . 异类传感器系统目标快速定位方法 [J ] . 系统工程与电子技术 , 2007 ( 12 ): 2010 - 2014 .

LIU Z X , HUANG J X , YANG X . Fast target location method in the heterogeneous sensor system [J ] . Systems Engineering and Electronics , 2007 ( 12 ): 2010 - 2014 . (in Chinese)

YIFENG N , ZHIWEI Z , DAIBING Z , et al . An approach to ground target localization for UAVs based on multi-sensor fusion [C ] // 2016 12th World Congress on Intelligent Control and Automation (WCICA) . Piscataway : IEEE , 2016 : 2771 - 2776 .

杨秀建 , 皇甫尚昆 , 颜绍祥 . 基于改进UKF的UWB/IMU/里程计融合定位方法 [J ] . 中国惯性技术学报 , 2023 , 31 ( 5 ): 462 - 471 .

YANG X J , HUANGFU S K , YAN S X . Fusion positioning method with UWB/IMU/odometer based on the improved UKF [J ] . Journal of Chinese Inertial Technology , 2023 , 31 ( 5 ): 462 - 471 . (in Chinese)

雷雨 , 冯新喜 , 朱灿彬 , 等 . 基于数据融合理论的多传感器几何定位算法 [J ] . 红外与激光工程 , 2012 , 41 ( 5 ): 1339 - 1344 .

LEI Y , FENG X X , ZHU C B , et al . Geometric location algorithm for multi-sensor networking based on data fusion theory [J ] . Infrared and Laser Engineering , 2012 , 41 ( 5 ): 1339 - 1344 . (in Chinese)

柴敏 , 余慧 , 宋卫红 , 等 . 光学无线电测量信息融合定位方法 [J ] . 光学学报 , 2012 , 32 ( 12 ): 165 - 171 .

CHAI M , YU H , SONG W H , et al . Joint positioning methed for data fusion of photo-electric theodolite and radar [J ] . Acta Optica Sinica , 2012 , 32 ( 12 ): 165 - 171 . (in Chinese)

朱建丰 , 何新生 , 郝本建 . 基于双星TDOA和主星DOA的空中动目标联合定位技术 [J ] . 电子学报 , 2018 , 46 ( 6 ): 1378 - 1383 .

ZHU J F , HE X S , HAO B J . A hybrid localization technology for an aerial moving target based on TDOA of dual-satellite and DOA of main satellite [J ] . Acta Electronica Sinica , 2018 , 46 ( 6 ): 1378 - 1383 . (in Chinese)

陈林秀 , 宋闯 , 范宇 , 等 . 基于分布式信息融合的多传感器目标定位算法 [J ] . 指挥控制与仿真 , 2020 , 42 ( 2 ): 28 - 33 .

CHEN L X , SONG C , FAN Y , et al . Research on target location algorithm of multi-sensor based on distributed information fusion [J ] . Command Control & Simulation , 2020 , 42 ( 2 ): 28 - 33 . (in Chinese)

TAN Z G , SHI L F , YANG X F , et al . Research on location method of distributed communicational radar [C ] // 2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) . Piscataway : IEEE , 2022 : 1 - 6 .

周晅毅 , 王富玉 , 杨流阔 , 等 . 基于Nelder-Mead算法的机器人主动嗅觉室内时变污染源定位 [J ] . 同济大学学报(自然科学版) , 2022 , 50 ( 6 ): 812 - 820 .

ZHOU X Y , WANG F Y , YANG L K , et al . Locating indoor time-variant contaminant sources based on Nelder-Mead algorithm using robot active olfaction method [J ] . Journal of Tongji University (Natural Science) , 2022 , 50 ( 6 ): 812 - 820 . (in Chinese)

魏嘉麟 , 王又珑 , 温旭辉 , 等 . 航空飞行器用300 kW高速永磁同步电机优化设计 [J ] . 兵工学报 , 2024 , 45 ( 5 ): 1363 - 1373 .

WEI J L , WANG Y L , WEN X H , et al . Optimization design of a 300kW high-speed permanent magnet synchronous machine for aviation aircraft [J ] . Acta Armamentarii , 2024 , 45 ( 5 ): 1363 - 1373 . (in Chinese)

MALLICK M , ARULAMPALAM S , YAN Y J , et al . Three-dimensional tracking of an aircraft using two-dimensional radars [J ] . IEEE Transactions on Aerospace Electronic Systems , 2018 , 54 ( 2 ): 585 - 600 .

DONG F , WU W T , ZHANG S M . Flow state monitoring of gas-water two-phase flow using multi-Gaussian mixture model based on canonical variate analysis [J ] . Flow Measurement and Instrumentation , 2021 , 79 : 101904 .

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