TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

GPU-based acceleration of symbol timing recovery

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoDASIP 2012 - Proceedings of the 2012 Conference on Design and Architectures for Signal and Image Processing
Sivut273-280
Sivumäärä8
TilaJulkaistu - 2012
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma6th Annual Conference on Design and Architectures for Signal and Image Processing, DASIP 2012 - Karlsruhe, Saksa
Kesto: 23 lokakuuta 201225 lokakuuta 2012

Conference

Conference6th Annual Conference on Design and Architectures for Signal and Image Processing, DASIP 2012
MaaSaksa
KaupunkiKarlsruhe
Ajanjakso23/10/1225/10/12

Tiivistelmä

This paper presents a novel implementation of graphics processing unit (GPU) based symbol timing recovery using polyphase interpolators to detect symbol timing error. Symbol timing recovery is a compute intensive procedure that detects and corrects the timing error in a coherent receiver. We provide optimal sample-time timing recovery using a maximum likelihood (ML) estimator to minimize the timing error. This is an iterative and adaptive system that relies on feedback, therefore, we present an accelerated implementation design by using a GPU for timing error detection (TED), enabling fast error detection by exploiting the 2D filter structure found in the polyphase interpolator. We present this hybrid/heterogeneous CPU and GPU architecture by computing a low complexity and low noise matched filter (MF) while simultaneously performing TED. We then compare the performance of the CPU vs. GPU based timing recovery for different interpolation rates to minimize the error and improve the detection by up to a factor of 35. We further improve the process by utilizing GPU optimization and performing block processing to improve the throughput even more, all while maintaining the lowest possible sampling rate.