A recently introduced Radio Ranging system can measure up to four independent ranges and also provides data which is indicative of the quality of the ranging signals. This increased information from the radio positioning system creates an opportunity to employ advanced automatic data processing to reliably detect and correct lane count errors. This paper presents the results of recent efforts by Cubic Western Data to optimally process range data using Kalman filter techniques to establish the most probable position and most probable lane count errors under adverse ranging conditions. The method of processing is described and the results of field tests are presented. The results indicate the potential for more reliable accurate long-range positioning for surveys and construction while reducing down time and the need for backup positioning systems and techniques to confirm lane counts.

  • Supplemental Notes:
    • Presented at the 10th Annual OTC in Houston, Texas, May 8-11, 1978.
  • Corporate Authors:

    Offshore Technology Conference

    6200 North Central Expressway
    Dallas, TX  United States  45206
  • Authors:
    • Mesquita, P
    • Heldwein, C
  • Publication Date: 1978

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00178165
  • Record Type: Publication
  • Source Agency: Offshore Technology Conference
  • Report/Paper Numbers: OTC 3096, Vol 1 Proceeding
  • Files: TRIS
  • Created Date: Jul 19 1978 12:00AM