最近研究表明利用环境噪声的互相关可以恢复两点之间的时域格林函数(声脉冲响应),这一原理在文献中被称为格林函数恢复。基于此原理,通过对多个传声器所接收的环境噪声进行互相关处理,获取与散射体相关联的散射波的到达时延信息,结合最小二乘反演算法和改进克希霍夫移位算法,分别获得道路交通噪声场中石柱以及海浪噪声场中塑料桶的空间位置,且其估计结果与实际测量相一致。实验结果表明将环境噪声作为探测信号进行散射体无源成像是可行的。这为设计室内无源声监测系统以及通过海洋环境噪声实现对水中静默目标成像提供了新思路和有益参考。 Recent studies show that the cross-correlation of ambient noise can recover the time-domain Green’s function (acoustic impulse response) between two points. This principle is known in the literature as Green’s function recovery. Based on this principle, the time delay information of scattered waves associated with scatterers is obtained through the cross-correlation processing of the environmental noise received by the multiple microphones. Combining the least square inversion algorithm and the improved Kirchhoff shift algorithm , Respectively obtain the spatial position of the pillars in the road traffic noise field and the plastic bucket in the wave noise field, and the estimation results are in accordance with the actual measurements. The experimental results show that it is feasible to use the ambient noise as the detection signal to carry out passive scatter imaging. This provides a new idea and useful reference for designing indoor passive sound monitoring system and imaging silent target in water through the marine environment noise.