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Time-domain filtering method based on photon flight time correlation

A time-of-flight and time-domain filtering technology, which is applied to electromagnetic wave reradiation, radio wave measurement systems, instruments, etc., can solve problems such as detector errors, reduce target detection probability, and complex structures, and achieve simplified structures, improved accuracy, and The effect of increasing the probability of detection

Active Publication Date: 2016-09-21
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0005] When using a dual-detection structure, the echo signal needs to enter the two APDs respectively through the beam splitter. When the strength of the echo signal is weak, this may reduce the detection probability of the target; or logic can increase the detection probability of the target. , but it also increases the false alarm rate; when combined with logic and or logic, it will be necessary to use 4 detectors, which will undoubtedly complicate the structure of the system, and will also introduce more detectors caused by time jitter error

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[0021] When the noise of the target scene is strong, the reflectivity is low, or the integration time is insufficient, the histogram obtained by the cumulative detection of the LiDAR system may not be piled up, and there will be no obvious peaks. Some histogram-based time-of-flight extraction algorithms such as peak method, centroid method, and fitting method will not be available. Therefore, in the case of a relatively low signal-to-noise ratio, the echo signal needs to be filtered first. To solve this problem, the present invention utilizes the principle of time-correlated single photon counting to propose a time-domain filtering method based on the time-correlation between photons. Firstly, the laser radar is used to scan under the condition of low signal-to-noise ratio to obtain the photon time-of-flight. Then, the time-of-flight correlation between photons is used, and the filter conditions are set to judge the time-of-flight of photons to distinguish signal photons from...

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Abstract

The invention discloses a time-domain filtering method based on photon flight time correlation. First of all, photon flight time is obtained by performing scanning by use of a laser radar under the condition of a quite low signal-to-noise ratio, then by use of the flight time correlation between photons, filtering conditions are set for determining the flight time of the photons, signal photons and noise photons are distinguished from each other, next, detection photons which are determined as the noise photons are removed, and only the detection photons which are determined as the signal photons are reserved, finally, a center of area method is applied to the signal photons, the accurate flight time of the photons is extracted, and thus distance information is obtained. Experiments show that under the condition of the quite low signal-to-noise ratio, the method provided by the invention can effectively filter the noise photons in signals obtained by scanning through the three-dimensional imaging laser radar so as to realize the purpose of denoising.

Description

technical field [0001] The invention belongs to the field of laser radar three-dimensional imaging, and in particular relates to a time domain filtering method based on photon time-of-flight correlation applicable to a photon counting laser radar system. technical background [0002] Accurately obtaining the 3D structure of the target scene has a wide range of applications. The 3D imaging lidar system uses the avalanche diode in Geiger mode as a detector, which can acquire the depth image of the target scene with high sensitivity and high precision. The lidar system obtains the three-dimensional information of the target scene by integrally sampling the target scene and then accumulating to generate a statistical histogram. [0003] In order to extract accurate time-of-flight from statistical histograms and obtain high-precision target depth estimates, it is necessary to use echo signal time-of-flight extraction algorithms such as: peak method, centroid method, fitting meth...

Claims

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Application Information

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IPC IPC(8): G01S7/48G01S17/89
CPCG01S7/4802G01S17/89
Inventor 冯振超卢斯洋何伟基方剑沈姗姗陈钱顾国华张闻文钱惟贤任侃隋修宝邹燕
Owner NANJING UNIV OF SCI & TECH
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