基于空谱分解的时间反演时域成像

      Time-reversal time-domain imaging algorithm based on space-frequency decomposition

      • 摘要: 提出了基于空谱分解的时间反演时域成像新方法.通过天线阵列的一次测量,获取散射场数据、建立空谱多态响应矩阵.奇异值分解矩阵求取与具体目标相对应的左奇异矢量,与超宽带信号结合合成相干的时间反演后向传输信号,实现了目标的选择性聚焦.该方法能实现置于均匀媒质或随机媒质中的多个运动目标的聚焦成像,具有较好的实时性及较强的成像能力.

         

        Abstract: Based on the space-frequency decomposition, the paper presents a novel time reversal time-domain imaging approach. The antenna array requires only one measurement to get scattered data which are utilized to set up space-frequency multistatic data matrix. Singular value decomposition is applied to this matrix and the left singular vectors corresponding to special targets are obtained. The ultrawideband signals and these vectors are employed to synthesize coherent backpropagation wave to obtain selective focusing for the targets. The novel approach has better real time imaging performance. It can provide satisfactory selective focusing for the moving targets embedded both in homogeneous and random media where multiple scattering is strong.

         

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