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Fast Real Positioning using GNSS

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: DTRT57-12-C-10031
Agency Tracking Number: DTRT57-12-C-10031
Amount: $149,768.64
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 121FH2
Solicitation Number: DTRT5712RSBIR1
Solicitation Year: 2012
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-05-08
Award End Date (Contract End Date): 2012-11-08
Small Business Information
1833 East Foothill Blvd.
Glendora, CA 91741-
United States
DUNS: 60661134
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Joseph Cisneros
 Senior GPS Analyst
 (909) 967-1912
Business Contact
 Dorothy Kelley
Title: President
Phone: (626) 482-2594
Research Institution

This project initially examines the theoretical basis by which low cost “automotive grade” (typically devices with L1 signal tracking only) GPS and GNSS devices can be made to perform with a very rapid start-up and acquisition times and still maintain a high level of sub meter kinematic accuracy when in the presence of various local correctional data such as RTCM. The resources of such a chip set prevent the application of many traditional GPS methods to solve this. This advancement is needed to overcome today’s delays of up to one minute or more to become fully operational. This theoretical information which is developed is then used, as well as the performance of available likely chips, to design and develop a suitable optimized navigation filter.

This filter will be demonstrated using both previously collected data sets, and live GPS designs which are implemented with today’s existing automotive grade OEM GNSS chip sets. Both L1-only and L1-L2 designs will be evaluated and constructed. Combinations of both GPS and GLONASS signals will be evaluated and used as well as existing standard corrections data sources. The resulting prototypes will be demonstrated over DSRC, 802.11, and also a low-medium frequency broadcast modem. Quantitative time and performance data will be collected.

* Information listed above is at the time of submission. *

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