Two-dimensional Fusion of Multi-radar Signals Based on GTD Model

Ye Fan; He  Feng; Zhang  Yong-Sheng; Dong  Zhen

doi:10.3724/SP.J.1146.2010.00278

Volume 33 Issue 1

Feb. 2011

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Ye Fan, He Feng, Zhang Yong-Sheng, Dong Zhen. Two-dimensional Fusion of Multi-radar Signals Based on GTD Model[J]. Journal of Electronics & Information Technology, 2011, 33(1): 55-59. doi: 10.3724/SP.J.1146.2010.00278

Citation:

Ye Fan, He Feng, Zhang Yong-Sheng, Dong Zhen. Two-dimensional Fusion of Multi-radar Signals Based on GTD Model[J]. Journal of Electronics & Information Technology, 2011, 33(1): 55-59. doi: 10.3724/SP.J.1146.2010.00278

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Two-dimensional Fusion of Multi-radar Signals Based on GTD Model

doi: 10.3724/SP.J.1146.2010.00278

Received Date: 2010-03-24
Rev Recd Date: 2010-06-14
Publish Date: 2011-01-19

Abstract

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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References

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