Photon Counting LIDAR Based on True Random Coding

In this paper, a true random coding photon counting LIDAR is described, in which a Gm-APD (Geiger mode avalanche photodiode) acts as the true random sequence signal generator. The true random coding method not only improves the anti-crosstalk capability of the system, but also greatly reduces the 1-...

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Published in:	Sensors (Basel, Switzerland) Vol. 20; no. 11; p. 3331
Main Authors:	Yu, Yang, Liu, Bo, Chen, Zhen, Hua, Kangjian
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 11.06.2020 MDPI
Subjects:	Field programmable gate arrays Lasers LIDAR Noise photon counting Real time true random coding
ISSN:	1424-8220, 1424-8220
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Abstract	In this paper, a true random coding photon counting LIDAR is described, in which a Gm-APD (Geiger mode avalanche photodiode) acts as the true random sequence signal generator. The true random coding method not only improves the anti-crosstalk capability of the system, but also greatly reduces the 1-bit missed detection caused by the limited Gm-APD count rate. The experiment verifies the feasibility of the true random sequence used in a photon counting LIDAR ranging system, and a simple and intuitive evaluation model of true random sequence autocorrelation is proposed. Finally, the influence of system parameters (mean echo photon number, mean pulse count density, sequence length, mean noise count) on detection probability is explored. In general, this paper proves that the true random code photon counting LIDAR is an effective target detection method, and provides a new idea for the research of an anti-crosstalk LIDAR system.
AbstractList	In this paper, a true random coding photon counting LIDAR is described, in which a Gm-APD (Geiger mode avalanche photodiode) acts as the true random sequence signal generator. The true random coding method not only improves the anti-crosstalk capability of the system, but also greatly reduces the 1-bit missed detection caused by the limited Gm-APD count rate. The experiment verifies the feasibility of the true random sequence used in a photon counting LIDAR ranging system, and a simple and intuitive evaluation model of true random sequence autocorrelation is proposed. Finally, the influence of system parameters (mean echo photon number, mean pulse count density, sequence length, mean noise count) on detection probability is explored. In general, this paper proves that the true random code photon counting LIDAR is an effective target detection method, and provides a new idea for the research of an anti-crosstalk LIDAR system.In this paper, a true random coding photon counting LIDAR is described, in which a Gm-APD (Geiger mode avalanche photodiode) acts as the true random sequence signal generator. The true random coding method not only improves the anti-crosstalk capability of the system, but also greatly reduces the 1-bit missed detection caused by the limited Gm-APD count rate. The experiment verifies the feasibility of the true random sequence used in a photon counting LIDAR ranging system, and a simple and intuitive evaluation model of true random sequence autocorrelation is proposed. Finally, the influence of system parameters (mean echo photon number, mean pulse count density, sequence length, mean noise count) on detection probability is explored. In general, this paper proves that the true random code photon counting LIDAR is an effective target detection method, and provides a new idea for the research of an anti-crosstalk LIDAR system. In this paper, a true random coding photon counting LIDAR is described, in which a Gm-APD (Geiger mode avalanche photodiode) acts as the true random sequence signal generator. The true random coding method not only improves the anti-crosstalk capability of the system, but also greatly reduces the 1-bit missed detection caused by the limited Gm-APD count rate. The experiment verifies the feasibility of the true random sequence used in a photon counting LIDAR ranging system, and a simple and intuitive evaluation model of true random sequence autocorrelation is proposed. Finally, the influence of system parameters (mean echo photon number, mean pulse count density, sequence length, mean noise count) on detection probability is explored. In general, this paper proves that the true random code photon counting LIDAR is an effective target detection method, and provides a new idea for the research of an anti-crosstalk LIDAR system.
Author	Yu, Yang Liu, Bo Chen, Zhen Hua, Kangjian
AuthorAffiliation	1 Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China; yuyang215@mails.ucas.edu.cn (Y.Y.); chenzhen@ioe.ac.cn (Z.H.); huakangjian16@mails.ucas.ac.cn (K.H.) 2 Key Laboratory of Space Optoelectronic Precision Measurement Technology, University of Chinese Academy of Sciences, Beijing 100049, China
AuthorAffiliation_xml	– name: 1 Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China; yuyang215@mails.ucas.edu.cn (Y.Y.); chenzhen@ioe.ac.cn (Z.H.); huakangjian16@mails.ucas.ac.cn (K.H.) – name: 2 Key Laboratory of Space Optoelectronic Precision Measurement Technology, University of Chinese Academy of Sciences, Beijing 100049, China
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Cites_doi	10.1364/OE.16.013233 10.1117/1.OE.54.11.114102 10.1364/BOE.1.000041 10.1143/JJAP.49.026601 10.1364/OE.18.009192 10.29026/oea.2020.190044 10.1109/TIM.2007.911691 10.3788/COL201412.082801 10.3390/s20082204 10.3390/rs8110958 10.3390/s19214820 10.3788/COL201614.111101 10.1364/PRJ.7.001381 10.1364/AO.22.001382 10.1038/s41598-018-22675-1 10.1364/OE.22.004662 10.1364/AO.48.006241 10.1364/OE.16.013685 10.3390/s19163620
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SubjectTerms	Field programmable gate arrays Lasers LIDAR Noise photon counting Real time true random coding
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Title	Photon Counting LIDAR Based on True Random Coding
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