DocumentCode
189714
Title
FPGA-based implementation of binary input compressive sensing decoder
Author
Lu, Fang ; Rao, Wengui ; Dong, Yan
Author_Institution
Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan, China
fYear
2014
fDate
15-19 June 2014
Firstpage
52
Lastpage
55
Abstract
Binary input compressive sensing (BiCS) is the kernel of seamless rate adaptation system. But the high complexity of the decoding algorithms has prevented this technique from being applied to practical communication systems. In this paper, a decoder with serial architecture is proposed and implemented in FPGA. Two specific optimizations are employed to improve the throughput of the decoder. First, we take advantage of the configurable aspect ratio of the block RAM in FPGA to make the decoder work fully pipelined. Second, the ping pang operation is adopted to increase the hardware utilization efficiency. When the clock frequency is 300MHz and the number of iterations is 10, the maximum throughput of the decoder is about 29.4Mbps that reaches the range of communication rate in modern wireless networks.
Keywords
Complexity theory; Compressed sensing; Computer architecture; Decoding; Field programmable gate arrays; Random access memory; Throughput; belief propagation; compressive sensing; ping pang operation; seamless rate adaption;
fLanguage
English
Publisher
ieee
Conference_Titel
Embedded Computing (MECO), 2014 3rd Mediterranean Conference on
Conference_Location
Budva, Montenegro
Print_ISBN
978-1-4799-4827-7
Type
conf
DOI
10.1109/MECO.2014.6862657
Filename
6862657
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