基于压缩感知的非扫描激光雷达成像技术研究

Research on Non-scanning Laser Radar Imaging Technology Based on Compressive Sensing

压缩感知(compressive sensing,CS)是近年来出现的一种新的信号获取与处理理论,能以远低于奈奎斯特采样率对信号进行采样,并可实现高精度的重构。首先介绍了压缩感知理论,提出了一种基于压缩感知的非扫描激光雷达成像系统,然后详述了系统组成及工作流程,对关键技术进行了分析。该系统以单光子点元探测器作为微弱目标探测元件,通过空间光调制及图像重构技术,实现对微弱目标的超分辨率成像。最后利用OMP重构算法在MATLAB平台上进行了仿真验证,证明了该成像系统的可行性。

Compressive sensing（CS） is a new theory of signal acquisition and processing emerged in recent years, which can sample signals at a rate much lower than the Nyquist sampling rate and implement high precisionrecon struction of the signals. At first, the theory of compressive sensing is introduced, a non-scanning laser radar imaging system based on CS is proposed. And then, the composition and workflow of the system are introduced in detail, the key technologies are analyzed. The imaging system uses a single-photon point-type detector as an ultralow light target detector to achieve the super-resolution imaging of an ultralow light target through the spatial light modulation and image reconstruction techniques. And at last, orthogonal matching pursuit（OMP） reconstruction algorithm is used to simulate and validate in MATLAB platform and the feasibility of the imaging system is proved.