GPU-Based Parallel Algorithm for Wideband Signal Timing Recovery
Publish place: 13th International Conference on Information Technology, Computers and Telecommunications
Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ITCT13_035
تاریخ نمایه سازی: 10 آذر 1400
Abstract:
Symbol timing recovery is a complex calculation process that detects and corrects timing error in a coherent receiver. This paper presents a new implementation of GPU-based symbol timing recovery based on the parallel version of Gardner’s method to minimize the timing error. Gardner’s method utilizes a sequential process that relies on feedback error. The proposed method is a fast parallel implementation method on a GPU for time-error detection (TED) using the parallel timing recovery structure of sample signal blocks which makes fast error detection possible. We calculate the interpolation filter coefficients before timing recovery to detect the timing error of the symbols. We then compare the performance of timing recovery for different parallel techniques on different GPUs to minimize error and improve processing speed, up to ۱۰۰ times, compared to Gardner's method. Performance evaluations show that we achieved a very high rate of timing recovery (۵۰ Msymb/sec on GTX ۱۰۵۰ Ti) by optimizing the GPU implementation
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Authors
Mohammad Hasan Shammakhi
Department of Electrical Engineering Amirkabir University of Technology
Parnia Haji Faraji
Department of Electrical and Computer Engineering University of British Columbia
Milad Mohammadi Bidhandi
Department of Electrical Engineering Amirkabir University of Technology
Mohsen Hosseinzadeh
Department of Electrical Engineering Amirkabir University of Technology