电子学报2024，Vol.52Issue(12)：4059-4073,15.DOI:10.12263/DZXB.20240300
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
摘要
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 posi-tioning 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 tradi-tional 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 ellip-soidal 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 re-sults 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 tar-gets as low as 115.7 meters.关键词
多传感器组网/目标定位/点迹关联/空间椭球/Nelder-Mead算法/无迹变换Key words
multi-sensor networking/target positioning/trace points associated/space ellipsoid/Nelder-Mead algo-rithm/unscented transform分类
信息技术与安全科学引用本文复制引用
彭锐晖,郭玮,钱海宁,谭顺成,谭硕..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):4059-4073,15.基金项目
国防科技重点实验室基金(No.2023-JCJQ-LB-016) （No.2023-JCJQ-LB-016）
航天科技集团稳定支持项目(No.ZY0110020009) National Defense Science and Technology Key Laboratory Fund(No.2023-JCJQ-LB-016) （No.ZY0110020009）
Stable Support Project of Aerospace Science and Technology Corporation(No.ZY0110020009) （No.ZY0110020009）
