Radiometric temperature measurement with Si and InGaAs single-photon avalanche photodiode

Wu, Jyh‐Horng; Lu, Ping Keng; Hsiao, Yu-Chih; Lin, Sheng-Di

doi:10.1364/ol.39.005515

Cited by 8 publications

(3 citation statements)

References 14 publications

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“…Benefited by the powerful integrated circuits (ICs) provided by mature silicon technology, CMOS SPADs outperform other photon-counting devices, such as photo-multiplier tube and chargecoupled devices. Previous works on 3-D imaging [7], light-detection and ranging (LiDAR) [8], fluorescence lifetime image microscopy [9,10], time-resolved Raman spectroscopy [11], and radiometric temperature sensing [12], clearly demonstrated SPADs' advantages. Very recently, commercial LiDAR products on driverless vehicles or safety assistant driving attract increasing attention [13] due to the foreseeable industrial and social impacts.…”

Section: Introductionmentioning

confidence: 98%

Single-photon avalanche diodes in 018-μm high-voltage CMOS technology

Huang

Wang

et al. 2017

Opt. Express

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We have designed and fabricated high-performance single-photon avalanche diodes (SPADs) by using 0.18-µm high-voltage CMOS technology. Without any technology customization, the SPADs have low dark-count rate, high photon-detection probability, low afterpulsing probability, and acceptable timing jitter and breakdown voltage. Our design provides a low-cost and high-performance SPAD for various applications.

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Section: Introductionmentioning

confidence: 98%

Single-photon avalanche diodes in 018-μm high-voltage CMOS technology

Huang

Wang

et al. 2017

Opt. Express

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“…The focal length of the lens establishes the field of view (FOV) while the diameter determines its ability to gather light. The detector sensor used in this design is the single SPAD, which has an active area of 314 µm 2 with an active diameter of d s = 25µm, developed by National Chiao Tung University, Taiwan [45][46][47][48][49][50][51]. As shown in Figure 3, the focusing lens can only collect reflected light from objects within the FOV.…”

Section: Receiving Blockmentioning

confidence: 99%

Improvement of Accuracy and Precision of the LiDAR System Working in High Background Light Conditions

et al. 2021

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Background light noise is one of the major challenges in the design of Light Detection and Ranging (LiDAR) systems. In this paper, we build a single-beam LiDAR module to investigate the effect of light intensity on the accuracy/precision and success rate of measurements in environments with strong background noises. The proposed LiDAR system includes the laser signal emitter and receiver system, the signal processing embedded platform, and the computer for remote control. In this study, two well-known time-of-flight (ToF) estimation methods, which are peak detection and cross-correlation (CC), were applied and compared. In the meanwhile, we exploited the cross-correlation technique combined with the reduced parabolic interpolation (CCP) algorithm to improve the accuracy and precision of the LiDAR system, with the analog-to-digital converter (ADC) having a limited resolution of 125 mega samples per second (Msps). The results show that the CC and CCP methods achieved a higher success rate than the peak method, which is 12.3% in the case of applying emitted pulses 10 µs/frame and 8.6% with 20 µs/frame. In addition, the CCP method has the highest accuracy/precision in the three methods reaching 7.4 cm/10 cm and has a significant improvement over the ADC’s resolution of 1.2 m. This work shows our contribution in building a LiDAR system with low cost and high performance, accuracy, and precision.

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“…Driven by fast-developing CMOS technology, detection of extremely weak light using SPADs has been a growing field in the past two decades [3][4][5][6]. Due to their single-photon sensitivity and excellent timing resolution, SPADs have been used in areas such as fluorescence lifetime imaging microscopy [7][8][9][10], light detection and ranging (LiDAR) [11,12], radiometric temperature measurement [13], and time-gated Raman spectroscopy [14]. Very recently, the strong demand for LiDAR for autonomous driving (AD) or advanced driver assistance system (ADAS) requires high-resolution 3-D images on a targets at distance up to 100-200 m to ensure car safety.…”

Section: Introductionmentioning

confidence: 99%

Photon-Detection-Probability Simulation Method for CMOS Single-Photon Avalanche Diodes

Hsieh

Tsai

Tsui

et al. 2020

Sensors

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Single-photon avalanche diodes (SPADs) in complementary metal-oxide-semiconductor (CMOS) technology have excellent timing resolution and are capable to detect single photons. The most important indicator for its sensitivity, photon-detection probability (PDP), defines the probability of a successful detection for a single incident photon. To optimize PDP is a cost- and time-consuming task due to the complicated and expensive CMOS process. In this work, we have developed a simulation procedure to predict the PDP without any fitting parameter. With the given process parameters, our method combines the process, the electrical, and the optical simulations in commercially available software and the calculation of breakdown trigger probability. The simulation results have been compared with the experimental data conducted in an 800-nm CMOS technology and obtained a good consistence at the wavelength longer than 600 nm. The possible reasons for the disagreement at the short wavelength have been discussed. Our work provides an effective way to optimize the PDP of a SPAD prior to its fabrication.

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Radiometric temperature measurement with Si and InGaAs single-photon avalanche photodiode

Cited by 8 publications

References 14 publications

Single-photon avalanche diodes in 018-μm high-voltage CMOS technology

Single-photon avalanche diodes in 018-μm high-voltage CMOS technology

Improvement of Accuracy and Precision of the LiDAR System Working in High Background Light Conditions

Photon-Detection-Probability Simulation Method for CMOS Single-Photon Avalanche Diodes

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