Influence of high-repetition-rate noise on a range-gated laser ranging and tracking system (LRTS) is studied both theoretically and experimentally. The interference mechanism of high-repetition-rate noise on range gates is revealed. The interference effect, especially the effect caused by relative shift between signal and noise, is presented through theoretical analysis and numerical simulation. In order to verify the simulation model, both electrical closed circuit and optical circuit experiments are further conducted. Both the simulation model and experiment results show that both periodic and nonperiodic noise pulses can enter the range gates of a LRTS and affect its operation with both their high repetition rate and relative shift to echo pulses.
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http://dx.doi.org/10.1364/AO.54.000770 | DOI Listing |
Sensors (Basel)
October 2024
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Light Detection and Ranging (LiDAR) has been widely adopted in modern self-driving vehicles and mobile robotics, providing 3D information of the scene and surrounding objects. However, LiDAR systems suffer from many kinds of noise, and its noisy point clouds degrade downstream tasks. Existing LiDAR point cloud de-noising methods are time-consuming or cannot deal with the noise caused by occlusions or penetrating transparent surfaces.
View Article and Find Full Text PDFResolution and sensitivity must be considered in the design of an active imaging system. System sensitivity is characterized by the signal-to-noise or contrast-to-noise ratio and is derived through radiometry. We present a tutorial for the radiometry associated with the contrast-to-noise ratio for active continuous-wave and laser range-gated imaging systems, giving a useful metric for determining reflective-band sensor performance against a target and background.
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View Article and Find Full Text PDFImaging through the scattering medium, such as fog, is important for military and civilian applications. However, the fog concentration restricts the current defogging methods; the image will be seriously degraded in dense fog scenes. Here, an imaging technique by developing joint active polarization defogging and denoising optimization methods based on range-gated detection is proposed for the target in fog conditions.
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