2011 IEEE International Symposium of Circuits and Systems (ISCAS) 2011
DOI: 10.1109/iscas.2011.5938233
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An analog (7,5) convolutional decoder in 65 nm CMOS for low power wireless applications

Abstract: A complete architecture with transistor level simulation is presented for a low power analog convolutional decoder in 65 nm CMOS. The decoder core operates in the weak inversion (sub-VT) and realizes the BCJR decoding algorithm corresponding to the 4-state tail-biting trellis of a (7,5) convolutional code. The complete decoder also incorporates serial I/O digital interfaces and current mode differential DACs. The simulated bit error rate is presented to illustrate the coding gain compared to an uncoded system.… Show more

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Cited by 6 publications
(3 citation statements)
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References 9 publications
(14 reference statements)
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“…1) Architecture: The detailed architecture of the implemented analog decoders, together with a customized simulation method aiding the choice of design parameters, are presented in [32]- [34]. The top-level architecture is provided in Fig.…”
Section: B Analog Decoding Circuitmentioning
confidence: 99%
“…1) Architecture: The detailed architecture of the implemented analog decoders, together with a customized simulation method aiding the choice of design parameters, are presented in [32]- [34]. The top-level architecture is provided in Fig.…”
Section: B Analog Decoding Circuitmentioning
confidence: 99%
“…The architecture of the decoder is shown in Fig. 12, whereas the detailed structure is presented in [43].…”
Section: Analog Decodermentioning
confidence: 99%
“…Precise evaluation of these decoding circuits is best to be performed by chip measurements. Following the background theory and architecture description that have been reported in [6] and follow up simulations that has been performed in [7], [5] to cope with technical challenges and choose design parameters, an analog decoder was eventually fabricated in 65 nm CMOS technology. Here, the measurement results are presented to conclude the work.…”
Section: Introductionmentioning
confidence: 99%