现代雷达2025，Vol.47Issue(5)：34-45,12.DOI:10.16592/j.cnki.1004-7859.20231113002
融合相位测距与自适应LM的三维定位算法
3D Localization Algorithm by Fusing Phase Ranging and Adaptive LM
周宇 1高鹏 2王杰 1梁兴东 3卜祥玺3
作者信息
- 1. 南京信息工程大学 电子信息工程学院,江苏 南京 210044
- 2. 中国联合网络通信有限公司,江苏 南京 210044
- 3. 中国科学院 空天信息创新研究院微波成像技术国家级重点实验室,北京 100190||中国科学院大学,北京 100049
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摘要
Abstract
In some cases such as sudden satellite failure,bad weather environment,and deterioration of satellite and ground channel environment,the positioning effect of global navigation satellite system(GNSS)becomes poor or even invalid,leading to the inaccu-rate absolute position of remote sensing platform,and seriously affecting the performance of remote sensing mapping.Therefore,a three-dimensional relative positioning algorithm combining phase ranging and adaptive Levenberg-Marquardt(LM)method is pro-posed in this paper.The algorithm involves two steps.In the coarse positioning,the phase ranging method of Chirp signal was pro-posed to enhance the ranging accuracy and improve the coarse positioning accuracy under the framework of Least Squares algorithm.In the fine positioning,an adaptive LM algorithm was proposed to improve the convergence effect and positioning accuracy of the tra-ditional LM algorithm.Simulation results show that compared with the traditional methods,the three-dimensional positioning accuracy of the remote sensing platform relative to anchor nodes by the proposed method has been improved by two orders of magnitude.Since the absolute position of anchor nodes is known,the proposed method can further provide reliable absolute position information for the remote sensing platform in a GNSS-denied environment,and ensure the mapping quality of the remote sensing platform.关键词
Chirp信号/相位测距/自适应LM算法/三维定位Key words
Chirp signal/phase extraction method/adaptive Levenberg-Marquardt(LM)/three-dimensional positioning分类
电子信息工程引用本文复制引用
周宇,高鹏,王杰,梁兴东,卜祥玺..融合相位测距与自适应LM的三维定位算法[J].现代雷达,2025,47(5):34-45,12.
