A pseudo-random coding side-lobe suppression method based on CLEAN algorithm is *** CLEAN algorithm mainly processes pulse compression results of a pseudo-random coding,and estimates a target＇s distance by a method n...
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A pseudo-random coding side-lobe suppression method based on CLEAN algorithm is *** CLEAN algorithm mainly processes pulse compression results of a pseudo-random coding,and estimates a target＇s distance by a method named interpolation method,so that we can get an ideal pulse compression result of the target,and then use the adjusted ideal pulse compression side-lobe to cut the actual pulse compression result,so as to achieve the remarkable performance of side-lobe suppression for large targets,and let the adjacent small targets *** computer simulations by MATLAB with this method analyze the effect of side-lobe suppression in an ideal or noisy *** is proved that this method can effectively solve the problem due to the side-lobe of pseudo-random coding being too high,and can enhance the radar＇s multi-target detection ability.
The use of spatial coding schemes is always a research hotspot of structural light 3D reconstruction. Spatial coding only needs one frame of image to reshape the three-dimensional feature of the object. However, it is...
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ISBN:
(数字)9781510631748
ISBN:
(纸本)9781510631748
The use of spatial coding schemes is always a research hotspot of structural light 3D reconstruction. Spatial coding only needs one frame of image to reshape the three-dimensional feature of the object. However, it is difficult to obtain higher resolution due to fewer feature points extracted. In the coding stage, this paper uses a two-dimensional discrete pseudo-random pattern composed of rectangular color elements. And in the decoding stage, a feature detector for a rectangular grid point and a center point is proposed by using four corner points and a center point of a rectangle as feature points. It can get more feature points in the spatial coding without increasing the calculation amount during the decoding stage, thereby obtaining more accurate feature information on the surface of the object. From the experimental results, this method compared with the existing approaches can significantly improve the accuracy of rectangular grid points detection and can reconstruct more high-precision feature points.
The paper discusses a new robust technique for the recovery of pseudo-random coded colored structured light patterns projected on 3D objects in uncooperative colored environments. It uses an iterative grid coloring al...
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ISBN:
(纸本)9781424425945
The paper discusses a new robust technique for the recovery of pseudo-random coded colored structured light patterns projected on 3D objects in uncooperative colored environments. It uses an iterative grid coloring algorithm that systematically shifts the colors assigned to the PRMVS symbols in order to increase the probability to visually recover elements of the grid projected on multi-colored 3D objects.
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