DocumentCode :
3742639
Title :
Tail biting convolutional code decoder co-processor for high throughput System-on-Chip
Author :
Ahmad Zaky Ramdani;Trio Adiono
Author_Institution :
School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
fYear :
2015
Firstpage :
303
Lastpage :
304
Abstract :
In this paper proposed tail biting convolutional code decoder co-processor architecture design for high throughput AMBA bus based System on Chip. Proposed TBCC decoder configured for LTE application and integrated on Leon3 SoC. To support low complexity, reverse trellis algorithm choose as TBCC decoding algorithm. DMA used in integration process to ensure the inter-frame decoding process is continuous and uninterrupted. The coprocessor designs have been tested on a Altera Stratix IV, achieving a throughput of 221 Mbps.
Keywords :
"System-on-chip","Throughput","Convolutional codes","Maximum likelihood decoding","Complexity theory","Algorithm design and analysis"
Publisher :
ieee
Conference_Titel :
SoC Design Conference (ISOCC), 2015 International
Type :
conf
DOI :
10.1109/ISOCC.2015.7401708
Filename :
7401708
Link To Document :
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