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Proceedings Paper

Fast physical-random number generation for laser range finders using a laser diode's frequency noise: comparison of the used lasers for fast random number generation
Author(s): Yuki Kasuya; Masamichi Suzuki; Kouhei Matsumoto; Hideaki Arai; Takashi Sato; Shuichi Sakamoto; Masashi Ohkawa; Yasuo Ohdaira
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Paper Abstract

While optical laser range finders use random signals to determine distance, a laser diode’s fast frequency noise can perform the task. Moreover, this signal can be applied to physical-random number generation. This research describes a method, whereby laser diode’s frequency noise characteristics generate a large number of physical-random numbers and determine the distance to a target [1] [2]. We tested the random number generating- and distance- measuring capabilities of two types of lasers; a Fabry-Perot-LD and VCSEL: (Vertical Cavity Surface Emitting Laser). With the Fabry-Perot etalon functioning as frequency discriminator, we investigated the physical-random numbers’ characteristics from both Fabry-Perot-LD’s and the VCSEL’s characteristic’s points of view. We verified the generated binary number’s randomness, using NIST FIPS140-2 test, and noted the Random Number Generation (RNG) speed of a FP-LD was 48 Gbit/s, and that of a VCSEL was 159 Gbit/s. When the generation speed of the physical-random number is high, we can increase the sampling rate of our range finders and improve resolution.

Paper Details

Date Published: 23 October 2018
PDF: 6 pages
Proc. SPIE 10780, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VII, 107801D (23 October 2018); doi: 10.1117/12.2324692
Show Author Affiliations
Yuki Kasuya, Niigata Univ. (Japan)
Masamichi Suzuki, Niigata Univ. (Japan)
Kouhei Matsumoto, Niigata Univ. (Japan)
Hideaki Arai, Niigata Univ. (Japan)
Takashi Sato, Niigata Univ. (Japan)
Shuichi Sakamoto, Niigata Univ. (Japan)
Masashi Ohkawa, Niigata Univ. (Japan)
Yasuo Ohdaira, Niigata Univ. (Japan)

Published in SPIE Proceedings Vol. 10780:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VII
Allen M. Larar; Makoto Suzuki; Jianyu Wang, Editor(s)

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