一种新的雷达目标信号重构方法

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI:10.1109/ChinaSIP.2014.6889226

Jia Duan, Lei Zhang, Yifeng Wu, M. Xing, Min Wu

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引用次数: 0

摘要

提出了一种基于属性散射中心模型的雷达目标信号重构方法。通过提取属性参数，可以用少量的属性参数来表示大量的目标数据。这样，数据量被大大压缩，从而释放了计算机的存储空间。提取后，通过对提取的属性散射中心的能量施加CFAR阈值，提出了一种目标识别方法，可以在低信噪比条件下将总能量较高的弱分布散射中心与噪声区分开来。实验结果验证了该方法的信号重构能力。

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A novel signal reconstructing method for radar targets

In this paper, a novel signal reconstructing method for radar targets is proposed based on the attributed scattering center model. By extracting the attributed parameters, the large amount of target data can be represented by small amounts of attributed parameters. In this way, the data amount has been compressed sharply, which releases the computer memory for storage. After extraction, a target discriminating method is presented by applying a CFAR threshold to the energy of extracted attributed scattering centers, by which, weak distributed scattering centers with relatively high energy in total can be discriminated from noise under low SNRs. Experimental results validate the effectiveness of the signal reconstructing capability of the proposal.

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来源期刊

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)

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