High Resolution 2d-Imaging Based on Data Fusion Technique

Jiong Xu, Dawei Song, D. Ding, S. Tao, Rushan Chcn
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引用次数: 2

Abstract

The range resolution of the traditional single radar imaging system is limited by the bandwidth of the transmitted signal, while the cross resolution is limited by its observation angle range. In this paper, a high resolution 2d-imaging method using data fusion technique is proposed. First, we introduce the theoretical basis of multi-radar data fusion imaging based on the 2d-radar echo sparse representation model. Then, sparse parameters of multi-radar echo are obtained by ExCoV algorithm. Finally, we get lost echo data by interpolation and extrapolation and realize the fusion process. The simulation results show that the image quality is improved after radar data fusion, which is better than that of the single radar echo, verifying the effectiveness of our method.
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基于数据融合技术的高分辨率二维成像
传统单雷达成像系统的距离分辨率受发射信号带宽的限制,而交叉分辨率受观测角度范围的限制。本文提出了一种基于数据融合技术的高分辨率二维成像方法。首先,介绍了基于二维雷达回波稀疏表示模型的多雷达数据融合成像的理论基础。然后,利用ExCoV算法获得多雷达回波的稀疏参数;最后通过插值和外推得到丢失的回波数据,并实现融合处理。仿真结果表明,雷达数据融合后的图像质量得到改善,优于单一雷达回波,验证了该方法的有效性。
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