scholarly journals A low-noise and wide dynamic range 15MHz CMOS receiver for pulsed time-of-flight laser ranging

2021 ◽  
pp. 1-1
Author(s):  
Sami Kurtti ◽  
Aram Baharmast ◽  
Jussi-Pekka Jansson ◽  
Juha Kostamovaara
2018 ◽  
Vol 27 (07) ◽  
pp. 1850104 ◽  
Author(s):  
Yuwadee Sundarasaradula ◽  
Apinunt Thanachayanont

This paper presents the design and realization of a low-noise, low-power, wide dynamic range CMOS logarithmic amplifier for biomedical applications. The proposed amplifier is based on the true piecewise linear function by using progressive-compression parallel-summation architecture. A DC offset cancellation feedback loop is used to prevent output saturation and deteriorated input sensitivity from inherent DC offset voltages. The proposed logarithmic amplifier was designed and fabricated in a standard 0.18[Formula: see text][Formula: see text]m CMOS technology. The prototype chip includes six limiting amplifier stages and an on-chip bias generator, occupying a die area of 0.027[Formula: see text]mm2. The overall circuit consumes 9.75[Formula: see text][Formula: see text]W from a single 1.5[Formula: see text]V power supply voltage. Measured results showed that the prototype logarithmic amplifier exhibited an 80[Formula: see text]dB input dynamic range (from 10[Formula: see text][Formula: see text]V to 100[Formula: see text]mV), a bandwidth of 4[Formula: see text]Hz–10[Formula: see text]kHz, and a total input-referred noise of 5.52[Formula: see text][Formula: see text]V.


2015 ◽  
Author(s):  
Sumeet Shrestha ◽  
Hiroki Kamehama ◽  
Shoji Kawahito ◽  
Keita Yasutomi ◽  
Keiichiro Kagawa ◽  
...  

2019 ◽  
Vol 279 ◽  
pp. 255-266 ◽  
Author(s):  
Alexandra Dudina ◽  
Florent Seichepine ◽  
Yihui Chen ◽  
Alexander Stettler ◽  
Andreas Hierlemann ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5464 ◽  
Author(s):  
Preethi Padmanabhan ◽  
Chao Zhang ◽  
Edoardo Charbon

Direct time-of-flight (DTOF) is a prominent depth sensing method in light detection and ranging (LiDAR) applications. Single-photon avalanche diode (SPAD) arrays integrated in DTOF sensors have demonstrated excellent ranging and 3D imaging capabilities, making them promising candidates for LiDARs. However, high background noise due to solar exposure limits their performance and degrades the signal-to-background noise ratio (SBR). Noise-filtering techniques based on coincidence detection and time-gating have been implemented to mitigate this challenge but 3D imaging of a wide dynamic range scene is an ongoing issue. In this paper, we propose a coincidence-based DTOF sensor architecture to address the aforementioned challenges. The architecture is analyzed using a probabilistic model and simulation. A flash LiDAR setup is simulated with typical operating conditions of a wide angle field-of-view (FOV = 40 ° ) in a 50 klux ambient light assumption. Single-point ranging simulations are obtained for distances up to 150 m using the DTOF model. An activity-dependent coincidence is proposed as a way to improve imaging of wide dynamic range targets. An example scene with targets ranging between 8–60% reflectivity is used to simulate the proposed method. The model predicts that a single threshold cannot yield an accurate reconstruction and a higher (lower) reflective target requires a higher (lower) coincidence threshold. Further, a pixel-clustering scheme is introduced, capable of providing multiple simultaneous timing information as a means to enhance throughput and reduce timing uncertainty. Example scenes are reconstructed to distinguish up to 4 distinct target peaks simulated with a resolution of 500 ps. Alternatively, a time-gating mode is simulated where in the DTOF sensor performs target-selective ranging. Simulation results show reconstruction of a 10% reflective target at 20 m in the presence of a retro-reflective equivalent with a 60% reflectivity at 5 m within the same FOV.


2017 ◽  
Vol 17 (1) ◽  
pp. 179-184 ◽  
Author(s):  
Yeong Seon Kim ◽  
Doo Hyung Woo ◽  
Young Min Jo ◽  
Sang Gu Kang ◽  
Hee Chul Lee

2008 ◽  
Author(s):  
Koichi Mizobuchi ◽  
Satoru Adachi ◽  
Jose Tejada ◽  
Hiromichi Oshikubo ◽  
Nana Akahane ◽  
...  

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