ing at the problem of error diffusion in multiple-input multiple-output free-space optical (MIMO-FSO) communication system, we propose a cascaded code(LT-PC) scheme of the Luby transform (LT) code and the parity check (PC) code. The LT-PC scheme can locate and delete wrong packets by adding a checker based on LT code. The performance of the LT code is compared with that of the LT-PC code. The LT-PC code is verified by the simulation under the systems with different number of MIMO groups and communication distances. Different atmospheric turbulence intensity channels are also simulated. The results show that the LT-PC code can improve the success rate of decoding when the decoding overhead is less than 0.5. In the same turbulence environment, the system with antenna number of 3×3 has about 3 dB coding gain compared with the system with antenna number of 2×2. After using the LT-PC code, the improving range of the coding gain is 0.5 dB~2 dB when the bit error rate is about 10 -5. In the strong turbulence environment, the LT-PC code still has certain advantages over the LT code with the increase of the communication distance when the numbers of antennas are the same.
.ing at the problems remaining in existing extraction method of structure line segment such as low efficiency and reliability, an efficient extraction method for structure line segments from point clouds through voxel-based region growing is proposed. Firstly, point cloud is voxelized and segmented, and the distributing regions of structure line segments are recognized through voxel-based nearest neighbors searching. Then, the distributing regions of structure line segments are segmented through voxel-based region growing. Finally, corresponding line segments are extracted and optimized in these segmented regions according to the equations of their supporting planes, and the accuracy of the results are assessed. The test experiments are performed, and the feasibility, accuracy and efficiency of the proposed method are verified by obtaining the processing and comparison results of adopted point clouds. The experimental results indicate that the efficiency is increased more than 10 times and the accuracy is improved about 0.25 times, which verifies that the proposed method has high accuracy and efficiency as well as the ability of achieving relatively more ideal results.
.