Title

GPU Computing of GNSS Chipshape

Document Type

Conference Proceeding

Publication Date

1-2023

Abstract

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.

Comments

The full paper is available from the link in the citation. Readers without ION membership are able to access the paper at cost from ION.

© 2023 Institute of Navigation

DOI

10.33012/2023.18629

Source Publication

Proceedings of the 2023 International Technical Meeting of The Institute of Navigation

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