基于GTD模型的多雷达信号二维融合

叶钒; 何峰; 张永胜; 董臻

doi:10.3724/SP.J.1146.2010.00278

基于GTD模型的多雷达信号二维融合

doi: 10.3724/SP.J.1146.2010.00278

叶钒^{* 何峰,},
何峰,
张永胜,
董臻

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出版历程
- 收稿日期: 2010-03-24
- 修回日期: 2010-06-14
- 刊出日期: 2011-01-19

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

摘要

摘要: 多雷达信号2维融合是一种能显著提高成像分辨率和图像质量的参数化成像新方法。但是在宽带小角度观测的情况下，实际目标散射是随着频率的变化而变化，因此传统先插值后处理的融合方法就不再适用了。该文针对以上情况，提出了一种基于几何绕射模型的多雷达信号2维融合的方法，将多雷达信号2维融合问题转化为信号稀疏表示问题，并利用正则化的方法来估计散射模型参数。此方法不仅不需要2维解耦处理，而且通过信号稀疏表示方法可以准确地估计目标散射的频率依赖因子。仿真实验也表明该文方法有效性。
- 多雷达2维信号融合 /
- 信号稀疏表示 /
- 几何绕射模型 /
- 2维解耦
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.
- Two-dimensional fusion of multi-radar signals /
- Signal sparse representation /
- GTD (Geometrical Theory of Diffraction) model /
- Two-dimensional decoupling

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参考文献(1)

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