Multi-GPGPU Based GNSS Real-time Software Receiver for Anti-Jamming Application

Kwi Woo Park, Joon Seok Yang, Chansik Park, Min Joon Lee

Peer Reviewed

Abstract:	The software receiver for anti-jamming application should be perform for 4 to 12 times higher than the amount of data in general software receiver by array antenna, high quantization bits and high sampling rate. In this paper, an optimized signal tracking module was designed using multi-GPGPU platform for GNSS software receiver available anti-jamming. To allocate suitable computation load to each GPGPU, a signal tracking performance estimation model was proposed. Load distribution ratio is determined by operation time that is estimated by using the performance estimation model. The corrleation and replica generation for Doppler removal is performed for the distributed number of channels in each GPU. The proposed load balancing and designed signal tracking module using multi-GPGPU are verified through the real experiments. As a result, load balancing is near an optimal method in signal tracking using multi-GPU. And the operation time of signal tracking using multi-GPGPU platform is reduced maximum about 60% compared to that using single GPU platform. In addition, a platform that consists of Two of GTX-Titan and GTX 960 is performed to meet real-time with 250 channels and 32Msps signal.
Published in:	Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015) September 14 - 18, 2015 Tampa Convention Center Tampa, Florida
Pages:	3165 - 3170
Cite this article:	Park, Kwi Woo, Yang, Joon Seok, Park, Chansik, Lee, Min Joon, "Multi-GPGPU Based GNSS Real-time Software Receiver for Anti-Jamming Application," Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015), Tampa, Florida, September 2015, pp. 3165-3170.
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