Advanced GNSS-R signals processing with GPUs
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
Global navigation satellite system reflectometry (GNSS-R) is a group of techniques that uses satellite navigation signals as signals of opportunity for remote sensing applications. In GNSS-R, large amounts of data are acquired and have to be processed. Computation time is typically the bottleneck for ground and airborne experiments. This article presents an efficient solution for off-line GNSS-R processing data taking advantage of graphics processing units (GPUs). After comparing to the typically used CPU languages, such as MATLAB and C++, the advantage of using parallel processing on the GPU is clear. GPU-based computation can reduce the processing time by as much as 95% of the acquisition time of the data. An implementation taking advantage of a home-use GPU is proposed for the data processing units. Thanks to its efficiency, even real-time processing experiments are feasible.
CitationCervelló, O. [et al.]. Advanced GNSS-R signals processing with GPUs. "IEEE journal of selected topics in applied earth observations and remote sensing", 1 Gener 2020, vol. 13, p. 1158-1163.
- Departament de Teoria del Senyal i Comunicacions - Articles de revista [2.264]
- Doctorat en Teoria del Senyal i Comunicacions - Articles de revista 
- RSLAB - Remote Sensing Research Group - Articles de revista 
- CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai - Articles de revista