Performance of a VME-based parallel processing LIDAR data acquisition system (summary)

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Description

It may be possible to make accurate real time, autonomous, 2 and 3 dimensional wind measurements remotely with an elastic backscatter Light Detection and Ranging (LIDAR) system by incorporating digital parallel processing hardware into the data acquisition system. In this paper, we report the performance of a commercially available digital parallel processing system in implementing the maximum correlation technique for wind sensing using actual LIDAR data. Timing and numerical accuracy are benchmarked against a standard microprocessor impementation.

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6 p.

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Moore, K.; Buttler, B.; Caffrey, M. & Soriano, C. May 1, 1995.

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Description

It may be possible to make accurate real time, autonomous, 2 and 3 dimensional wind measurements remotely with an elastic backscatter Light Detection and Ranging (LIDAR) system by incorporating digital parallel processing hardware into the data acquisition system. In this paper, we report the performance of a commercially available digital parallel processing system in implementing the maximum correlation technique for wind sensing using actual LIDAR data. Timing and numerical accuracy are benchmarked against a standard microprocessor impementation.

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6 p.

Notes

OSTI as DE95010885

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  • International conference on computer applications in industry and engineering, Honolulu, HI (United States), 29 Nov - 1 Dec 1995

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  • Other: DE95010885
  • Report No.: LA-UR--95-1157
  • Report No.: CONF-951168--1
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 100086
  • Archival Resource Key: ark:/67531/metadc623692

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Office of Scientific & Technical Information Technical Reports

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  • May 1, 1995

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • Feb. 29, 2016, 6:47 p.m.

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Moore, K.; Buttler, B.; Caffrey, M. & Soriano, C. Performance of a VME-based parallel processing LIDAR data acquisition system (summary), article, May 1, 1995; New Mexico. (digital.library.unt.edu/ark:/67531/metadc623692/: accessed October 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.