A High-Resolution Ultrasonic Distance Measurement System Using Vernier Caliper Phase Meter

2012 ◽  
Vol 61 (11) ◽  
pp. 2924-2931 ◽  
Author(s):  
Ke-Yu Lee ◽  
Chih-Feng Huang ◽  
Sin-San Huang ◽  
Ke-Nung Huang ◽  
Ming-Shing Young
1998 ◽  
Vol 34 (8) ◽  
pp. 884-889
Author(s):  
Masami ITO ◽  
Yoshitaka SUNAGAWA ◽  
Kanji NISHII ◽  
Seiji HAMANO ◽  
Tuyoshi NOMURA

2013 ◽  
Vol 30 (10) ◽  
pp. 2352-2366 ◽  
Author(s):  
Dale A. Lawrence ◽  
Ben B. Balsley

Abstract The DataHawk small airborne measurement system provides in situ atmospheric measurement capabilities for documenting scales as small as 1 m and can access reasonably large volumes in and above the atmospheric boundary layer at low cost. The design of the DataHawk system is described, beginning with the atmospheric measurement requirements, and articulating five key challenges that any practical measurement system must overcome. The resulting characteristics of the airborne and ground support components of the DataHawk system are outlined, along with its deployment, operating, and recovery modes. Typical results are presented to illustrate the types and quality of data provided by the current system, as well as the need for more of these finescale measurements. Particular focus is given to the DataHawk's ability to make very-high-resolution measurements of a variety of atmospheric variables simultaneously, with emphasis given to the measurement of two important finescale turbulence parameters, (the temperature turbulence structure constant) and ɛ (the turbulent energy dissipation rate). Future sensing possibilities and limitations using this approach are also discussed.


2009 ◽  
Vol 19 (10) ◽  
pp. 644-646 ◽  
Author(s):  
K. Haddadi ◽  
M.M. Wang ◽  
D. Glay ◽  
T. Lasri

2018 ◽  
Vol 15 (12) ◽  
pp. 1937-1941 ◽  
Author(s):  
Masanao Shinohara ◽  
Toshihiko Kanazawa ◽  
Hiromi Fujimoto ◽  
Takemi Ishihara ◽  
Tomoaki Yamada ◽  
...  

2015 ◽  
Vol 35 (s2) ◽  
pp. s212001
Author(s):  
许立明 Xu Liming ◽  
宋有建 Song Youjian ◽  
梁飞 Liang Fei ◽  
师浩森 Shi Haosen ◽  
胡明列 Hu Minglie ◽  
...  

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