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
Link To Document :
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