Exploiting Acceleration Features of LabVIEW Platform for Real-Time GNSS Software Receiver Optimization

Erick Schmidt and David Akopian

Abstract:	This paper presents the new generation of LabVIEW-based GPS receiver testbed that is based on National Instruments’ (NI) LabVIEW (LV) platform in conjunction to C/C++ dynamic link libraries (DLL) used inside the platform for performance execution. This GPS receiver has been optimized for real-time operation and has been developed for fast prototyping and easiness on future additions and implementations to the system. The receiver DLLs are divided into three baseband modules: acquisition, tracking, and navigation. The openness of received baseband modules allows for extensive research topics such as signal quality improvement on GPS-denied areas, signal spoofing, and signal interferences. The hardware used in the system was chosen with an effort to achieve portability and mobility in the SDR receiver. Several acceleration factors that accomplish real-time operation and that are inherent to LabVIEW mechanisms, such as multithreading, parallelization and dedicated loop-structures, are discussed. The proposed SDR also exploits C/C++ optimization techniques for single-instruction multiple-data (SIMD) capable processors in software correlators for real-time operation of GNSS tracking loops. It is demonstrated that LabVIEW-based solutions provide competitive real-time solutions for fast prototyping of receiver algorithms.
Published in:	Proceedings of the 30th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2017) September 25 - 29, 2017 Oregon Convention Center Portland, Oregon
Pages:	3694 - 3709
Cite this article:	Schmidt, Erick, Akopian, David, "Exploiting Acceleration Features of LabVIEW Platform for Real-Time GNSS Software Receiver Optimization," Proceedings of the 30th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 3694-3709. https://doi.org/10.33012/2017.15179
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