Abstract
Three dimensional laser imaging is a kind of imaging method which uses the two-dimensional distribution information of the target echo and the target distance information to synthesize the target image. Since 3D images contain more information about targets than 2D images, 3D imaging radars have important military application value because they can help identify target features with the help of target images, and even detect and recognize targets camouflaged or hidden in the woods. In order to support the future development of laser radar hardware equipment and system engineering research, it is necessary to model each stage of laser radar system to provide an effective simulation tool for the design and performance evaluation of laser radar system. Based on the principle of laser imaging, the modeling of every stage from laser source to image generation is carried out. On this basis, the full waveform self-correlation algorithm is verified, and the simulation results are given. Finally, the laser imaging simulation based on Constant Fraction Discrimination (CFD) algorithm is given, and the imaging accuracy with or without noise is compared. The difference of imaging accuracy under different signal-to-noise ratio (SNR) is analyzed.
| Original language | English |
|---|---|
| Article number | 9339121 |
| Pages (from-to) | 969-972 |
| Number of pages | 4 |
| Journal | ITAIC 2020 - IEEE 9th Joint International Information Technology and Artificial Intelligence Conference |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 9th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2020 - Chongqing, China Duration: 11 Dec 2020 → 13 Dec 2020 |
Keywords
- Accuracy
- CFD
- Laser imaging
- Laser radar
- Self-correlation