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A Novel Data Fusion Method Applied in Radar Imaging Matching Position

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3 Author(s)
Wang Xinguo ; Xi'an Res. Inst. of Hi-Tech Hongqing Town, Xi'an, China ; Li Aihua ; Shan Bin

How to improve position precision via fusing radar multi-position data in radar imaging matching is one of research focus. In order to resolve the problem, a novel data fusion method called STCF (Space-Time Crossing Fusion) method is proposed. The method is fusing the associated data which is mined in the position results, in other words, the STCF fuse all the template position data in a single matching position firstly, which is called space fusion, then fuse the different time point positions given by radar imaging matching system, which is called time fusion. A simulation is presented, and the results show that the proposed method can improve the position precision.

Published in:

Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on

Date of Conference:

6-7 Jan. 2012

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