收藏切换
A Joint Taylor Expansion-Least Squares and Centroid Localization Algorithm for Passive Radar of Moving Targets
收藏切换
Yiming LIAN1, 2, Liming JIANG1, 2, *
Journal of Geodesy and Geodynamics | 2025, 45(1) : 41 - 47
Less
收藏切换
Journal of Geodesy and Geodynamics | 2025, 45(1): 41-47
A Joint Taylor Expansion-Least Squares and Centroid Localization Algorithm for Passive Radar of Moving Targets
Full
Yiming LIAN1, 2, Liming JIANG1, 2, *
Affiliations
  • 1 Innovation Academy for Precision Measurement Science and Technology, CAS, 340 Xudong Street, Wuhan 430077, China
  • 2 College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, A19 Yuquan Road, Beijing 100049, China
  • LIAN Yiming, postgraduate, majors in passive radar passive location, E-mail:

About Author:

LIAN Yiming, postgraduate, majors in passive radar passive location, E-mail:

Published: 2025-01-15 doi: 10.14075/j.jgg.2024.02.053
Outline
收藏切换

In response to the imprecise localization of moving radiation sources in complex scenarios and issues related to the accuracy of the observation station's position and the geometric relationship with the target using the two stage weighted least squares(TSWLS) algorithm, we propose a passive radar centroid passive localization algorithm for moving targets based on Taylor expansion and the joint application of TSWLS. This method utilizes a TSWLS algorithm to determine the target's position and velocity. The obtained target parameters serve as initial values for Taylor expansion, constructing the positioning error equation. Through iterative optimization, the algorithm refines and solves for optimal target parameters. The proposed algorithm and TSWLS independently provide estimations, with the final result obtained through centroid localization. Simulation experiments show that, regardless of target speed, in comparison with traditional methods, the presented algorithm significantly improves robustness and positioning accuracy while reducing sensitivity to geometric relationships between the observation station and target.

passive radar  /  passive localization  /  TSWLS  /  Taylor expansion  /  centroid localization
廉一鸣, 江利明. 一种联合泰勒展开与最小二乘的运动目标被动雷达质心定位算法. 大地测量与地球动力学, 2025 , 45 (1) : 41 -47 . DOI: 10.14075/j.jgg.2024.02.053
Yiming LIAN, Liming JIANG. A Joint Taylor Expansion-Least Squares and Centroid Localization Algorithm for Passive Radar of Moving Targets[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (1) : 41 -47 . DOI: 10.14075/j.jgg.2024.02.053
  • National Natural Science Foundation of China(42174046)
  • Natural Science Foundation of Hubei Province(2021CFA028)
Year 2025 volume 45 Issue 1
17
6
Cite this Article
BibTeX
Article Info
doi: 10.14075/j.jgg.2024.02.053
  • Receive Date:2024-02-01
  • Online Date:2026-10-30
  • Published:2025-01-15
Article Data
Affiliations
History
  • Received:2024-02-01
Funding
National Natural Science Foundation of China(42174046)
Natural Science Foundation of Hubei Province(2021CFA028)
Affiliations
    1 Innovation Academy for Precision Measurement Science and Technology, CAS, 340 Xudong Street, Wuhan 430077, China
    2 College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, A19 Yuquan Road, Beijing 100049, China
References
Share
https://castjournals.cast.org.cn/joweb/ddcl/EN/10.14075/j.jgg.2024.02.053
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT