超短基线定位系统融合分类解模糊技术研究

doi:10.11999/JEIT160825

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Abstract

To solve the phase-difference ambiguity problem in Ultra-Short BaseLine (USBL) underwater acoustic positioning systems, an ambiguity resolution and localization method based on Multiple Classifier Fusion (MCF) is proposed. Firstly, the multiple classifier system is built. Then, ambiguity resolution problem is formulated as classifying and recognizing the ambiguity integer, and Choquet integral is utilized for fusing the results of multiple classifiers. Finally, the category of ambiguity integer is obtained and the target is located. The unambiguous observation condition of the target position is derived. Without constructing an inter-sensor spacing less than half the wavelength, unambiguous aperture of the array is effectively enlarged. Moreover, as statistical characteristics of the observation data are fully utilized, the positioning accuracy approaches the Cramer-Rao bound. Simulation results verify the effectiveness of the proposed method.

Key words： Ultra-Short BaseLine (USBL) positioning Phase-difference ambiguity Multiple Classifier Fusion (MCF) Fuzzy integral

Received: 03 August 2016 Published: 21 March 2017

PACS:

TN911.7

Fund:

The National Natural Science Foundation of China (51279043, 11504064, 61405041), The Postdoctoral Scientific Research Foundation of Heilongjiang Province (LBH-Q15025), The Technical Basic Research Project (JSJL2016604B003), The Science Foundation for the Returned Overseas Scholars of Heilongjiang Province, China (JJ2016LX0051)

Corresponding Authors: FU Jin E-mail: fujin@hrbeu.edu.cn

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	WANG Yan
	LI Qing
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	LIANG Guolong

Cite this article:

WANG Yan,LI Qing,FU Jin等. Resolving Ambiguity Using Fusion Classification for Ultra-short Baseline Positioning Systems[J]. JEIT, 2017, 39(6): 1348-1354.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT160825 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I6/1348

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