Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (5): 978-986.doi: 10.3969/j.issn.1001-506X.2020.05.02

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AOA based dual-aircraft passive positioning model and its location methods

Longwen WU1(), Baoying WANG1(), Junjie WEI2(), Shengyang HE1(), Yaqin ZHAO1,*()   

  1. 1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
    2. Luoyang Institute of Electro-Optical Equipment, Aviation Industry Corporation of China, Luoyang 471023, China
  • Received:2019-08-04 Online:2020-04-30 Published:2020-04-30
  • Contact: Yaqin ZHAO E-mail:wulongwen@hit.edu.cn;wangbaoying_0@163.com;843363017@qq.com;heshengyang@hit.edu.cn;yaqinzhao@hit.edu.cn
  • Supported by:
    国家自然科学基金(61671185)

Abstract:

The angle information usually plays a very important role in the passive positioning algorithms of two-aircraft coordination. Focusing on the dual-aircraft passive positioning problem, a positioning model using azimuth and elevation angle information is proposed, which can eliminate the influence of intermediate variable distance. In the location implementation, an ordinary least squares method, a weighted least squares method, a total least square method and an asymptotic unbiased estimation method are exploited to solve the location problem based on the proposed dual-aircraft positioning model. Comparing with time difference of arrival (TDOA)/angle of arrival (AOA) positioning algorithms, the proposed AOA algorithm requires less observation information, which introduces less observation errors and can improve the final positioning accuracy. The numerical simulation results verify the positioning performance of the four methods and show better performance of positioning accuracy comparing with TDOA/AOA. This paper also compares the positioning accuracy of the four algorithms in dual-aircrafc cooperative observation and positioning under different errors and constraints.

Key words: passive positioning, dual-aircraft coordination, angle of arrival (AOA), least squares estimation, asymptotic unbiased estimation

CLC Number: 

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