Scannerless lidar has advantages of high frame-rate, large field of view (FOV) and miniaturization etc, it is especially
valuable for military and aerospace engineering applications such as 3D vision, target recognition, autonomous
machinery guidance and collision avoidance etc. In this paper, we analyzed the performance of scannerless imaging
lidar, to investigate this, the overall system is divided into 6 modules according to various functions including
transmitter, optical antenna, atmospheric transmission, target property, detector, data processor etc., whereas the physical
processes of every module have been studied and corresponding mathematical models are also set up. The fundamental
problem of imaging lidar system is numerical solution of lidar equation, however common lidar equation regards target
as a point reflector with the assumption that back reflecting light is distributed uniformly in all directions in 2Π solid
angle, which is not for large FOV situation. In large FOV condition, the target can be regarded as a Lambertian reflector;
the intensity of light back reflected from different part of the target is not same but follows the Lambert cosine law, so
we make a modification for lidar equation, and finally all data from every module are coupled into lidar equation,
through modified lidar equation calculation, the relationship between maximum acquisition range and emission power is
The target recognition of laser radar is a hot research because laser radar can produce the intensity and range imagery. Laser radar has high space resolution, and can obtain rich target information. Correlation recognition has been used to many fields, such as infrared as well as synthetic aperture radar (SAR). In this paper, the two filters are used in experiment of laser radar. MACH filter is used to detect the target, and DCCFs are used to recognize the unknown target. The samples are generated by OpenGL technology, and the filters are designed using the simulated ladar images. The test samples are added noise according to the imaging principle of laser radar. Two sample sets, one adding noise, another filtering the noise, are used in order to contrast the different performance. At last, the experiment results are given.
Laser radar has been widely used these years and the hardware-in-the-loop (HWIL) testing of laser radar become important because of its low cost and high fidelity compare with On-the-Fly testing and whole digital simulation separately. Scene generation and projection two key technologies of hardware-in-the-loop testing of laser radar and is a complicated problem because the 3D images result from time delay. The scene generation process begins with the definition of the target geometry and reflectivity and range. The real-time 3D scene generation computer is a PC based hardware and the 3D target models were modeled using 3dsMAX. The scene generation software was written in C and OpenGL and is executed to extract the Z-buffer from the bit planes to main memory as range image. These pixels contain each target position x, y, z and its respective intensity and range value. Expensive optical injection technologies of scene projection such as LDP array, VCSEL array, DMD and associated scene generation is ongoing. But the optical scene projection is complicated and always unaffordable. In this paper a cheaper test facility was described that uses direct electronic injection to provide rang images for laser radar testing. The electronic delay and pulse shaping circuits inject the scenes directly into the seeker's signal processing unit.