Data fusion for ground moving target tracking |
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| Institution: | 1. Signal Processing Applications Group, Universidad Politecnica de Madrid, Spain;2. Department of Electrical Engineering (ISY), Linköping University, Sweden;3. Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden;1. Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, Tsinghua University, Beijing, China;2. Beijing Key Laboratory of Networked Multimedia, Tsinghua University, Beijing, China;3. Google Beijing, China;1. Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University, Chongqing 400030, China;2. College of Computer Science, Chongqing University, 174# Shazheng Street, Chongqing 400030, China;3. Centre for Quantum Computation & Intelligent Systems, FEIT, University of Technology, Sydney, Australia |
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| Abstract: | The aim of ground surveillance is the large scale, continuous and near real time determination of a dynamical ground picture. This task comprises detection and tracking of moving single targets and convoys, mobile weapon systems, and military equipment. The sensors of choice are airborne Ground Moving Target Indicator (GMTI) radar and synthetic aperture radar (SAR). As ground target tracking often suffers from dense target situations, high clutter, and low visibility, the integration and fusion of external background information is essential for providing precise and continuous tracks. We present Multi Hypotheses techniques for tracking several targets in complex ground situations with clutter. Methods to incorporate topographic information, in particular digital road maps, are described and demonstrated. |
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