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Proceedings Paper

Localization algorithm and error analysis for micro radio-localizer
Author(s): Xudong Li; Xiaohao Wang; Qiang Li; Huijie Zhao
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Paper Abstract

After more than ten years' research efforts on the Micro Aerial Vehicle (MAV) since it was proposed in 1990s, the stable flying platform has been matured. The next reasonable goal is to implement more practical applications for MAVs. Equipped with a micro radio-localizer, MAVs have the ability of localizing a target that transmitting radio signals, and further can be a novel promising Anti-Radiation device. A micro radio-localizer prototype and its localization principle and localization algorithm are proposed. The error analysis of the algorithm is also discussed. On the basis of the comparison of the often-used radio localization method, considering the MAVs' inherent limitation on the dimension of the antennas, a signal intensity and guidance information based localization method is proposed. Under the assumption that the electromagnetic wave obeys the free-space spreading model and the signal's power keeps unchanged, the measuring equations under different target motions are established. Localization algorithm is derived. The determination of several factors such as the number of measuring positions, numerical solving method and initial solution is discussed. Error analysis of the localization algorithm is also proposed by utilizing error analysis theory. A radio-localizer prototype is developed and experiment results are shown as well.

Paper Details

Date Published: 24 October 2006
PDF: 5 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63570W (24 October 2006); doi: 10.1117/12.716906
Show Author Affiliations
Xudong Li, Beijing Univ. of Aeronautics and Astronautics (China)
Xiaohao Wang, Tsinghua Univ. (China)
Qiang Li, Tsinghua Univ. (China)
Huijie Zhao, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

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