基于奇异值分解的雷达微小目标检测方法

Radar Small Target Detection Based on Singular Value Decomposition Method

  • 摘要: 提出了一种强杂波环境下雷达微小目标的检测方法。该方法以奇异值分解理论为基础,利用奇异值一阶、二阶差分谱进行奇异值选择,通过奇异值逆变换将雷达回波信号分解成不同的成份,从而实现杂波抑制和小微目标凸现。试验表明:该方法能有效抑制杂波,平均提升信噪比7 dB左右。

     

    Abstract: A detection method of radar small target in a strong clutter environment is proposed. On the basis of singular value decomposition theory, the first order and second order difference spectrum of singular values is used to select the singular values in various combination. Radar echo signal is decomposed into different compositions by inverse singular value transformation, thus realizing the clutter suppression and small target highlights. The experiment shows that the method can effectively suppress the strong clutter and improve the signal to noise ratio 7dB of small targets.

     

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