摘要
在分析车载超宽带合成孔径雷达(UWB SAR)探测系统中干扰类型及其产生机理的基础上,针对Tsaipei Wang等提出的批处理方法的局限性,提出一种基于迭代运算的图像域自适应干扰抑制方法。该方法利用基于韦布尔分布的恒虚警率(CFAR)检测器提高干扰信号估计的准确性;采用迭代方法在线估计和更新参数,实现干扰的自适应抑制。实测数据处理结果表明:该方法可有效抑制自信号干扰,且结构上适于实时处理,可满足车载UWB SAR探测系统对图像预处理的要求。
With an analysis of the types and formation mechanism of interferences in the vehicle-mounted ultra-wideband synthetic aperture radar （UWB SAR） detection system, a novel adaptive method is presented for the interferences suppression in the image domain based on the iterative technique. It can overcome the limitations and drawbacks of a batch processing method proposed by Tsaipei Wang. By exploiting the constant false alarm rate （CFAR） detector with weibull distribution, the new method can improve the accuracy of interference estimation. Then the parameters estimation and updating can be realized by using the iterative operation, and the adaptive interference suppression can be achieved on line. The processing results of real data show that the proposed method can effectively suppress the self-signature interference and is prone to real-time processing in structure. It can meet the needs of real-time preproeessing in the vehicle-mounted UWB SAR detection system.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2008年第5期80-85,共6页
Journal of National University of Defense Technology
关键词
合成孔径雷达(SAR)
探地雷达(GPR)
图像预处理
自适应干扰抑制
迭代运算
synthetic aperture radar （SAR）
ground penetrating radar （GPR）
image preprocessing
adaptive interference suppression
iterative operation
