基于啁啾脉冲的反射层析激光雷达成像

反射层析激光雷达成像具有系统简单及对湍流不敏感的优势,但普通脉冲发射信号难以兼顾远距离和高精度探测的要求.基于上述情况,本文提出了一种基于啁啾脉冲信号的反射层析激光雷达成像处理方法.该方法首先对啁啾脉冲回波进行相干压缩处理,通过对处理后信号的包络提取得到目标在各方向的反射层析投影数据,最后利用卷积反投影算法实现高分辨力的图像重构.仿真结果表明,在同一投影角度,利用该方法得到的包络与目标反射率投影相一致；在投影角度范围大于60°时能够得到目标的轮廓信息,角度范围越大,成像越精确.研究结果验证了该方法的有效性.

Reflective Tomography Lidar Imaging Based on Chirped Pulse Signal

Reflective tomography lidar imaging has the advantage of simple system and is not sensitive to atmospheric turbulence, but ordinary pulse signal is difficult to satisfy the requirement of both high precision and long range. To solve this problem, an imaging processing method based on chirped pulse for reflective tomography lidar is presented. In this method, coherent receiving and compression processing is done for chirped pulse echo firstly. Then, projection data of different observation angle is achieved by extracting envelope. At last, high precision image reconstruction is obtained by using Convolution Back-projection (CBP) algorithm. The results of simulation indicate that the envelope obtained by this method is consistent with reflective projection data at the same projection angle, and the outline image of the target can be obtained when the range of projection angle is larger than 60 degree. Imaging experiment validates the feasibility and effectiveness of the presented method.