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Two-dimensional Fusion of Multi-radar Signals Based on GTD Model |
Ye Fan He Feng① Zhang Yong-sheng Dong Zhen |
①School of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China |
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Abstract Two-dimensional fusion of multi-radar signals is a new parameterized imaging method. It can remarkably improve image resolution. In the case of wide bandwidth and small angle observation, scattering of target dependents on frequency. Traditional fusion methods are inapplicability to this case. A new fusion method of multi-radar signals based on GTD model is proposed in this paper, and signal fusion is transformed into a signal sparse representation problem. Then regularization method is used to estimate parameters of scattering model. It dispenses with the step of two-dimensional decoupling, and estimates frequency-dependent factors of target scattering accurately by signal sparse representation. The experiments also show the validity of the method.
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Received: 24 March 2010
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Corresponding Authors:
Ye Fan
E-mail: yefan311@sina.com
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