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Session A3: GNSS and Security: Interference, Jamming, and Spoofing

GPU Computing of GNSS Chipshape
Tyler Bransfield, Sanjeev Gunawardena, Air Force Institute of Technology
Location: Seaview Ballroom (1st Floor)
Date/Time: Wednesday, Jan. 25, 5:08 p.m.

Peer Reviewed

By storing correlation results in individual bins according to fractional chip phase and transition state, the average shape of a satnav signal’s spreading code chip transient response can be estimated. Current methods for software-based processing of chip shape results are computationally inefficient and make processing time prohibitive. This paper presents a GPU based method of generating chip shape results that achieves real time performance. Several GPU based methods are compared in addition to a multi-threaded CPU based method.

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