4 research outputs found

    Design and Implementation of a Low Complexity VLSI Turbo-Code Decoder Architecture for Low Energy Mobile Wireless Communications

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    Channel coding is commonly incorporated to obtain sufficient reception quality in wireless mobile communications transceiver to counter channel degradation due to intersymbol interference, multipath dispersion, and thermal noise induced by electronic circuit devices. For low energy mobile wireless communications, it is highly desirable to incorporate a decoder which has a very low power consumption while achieving a high coding gain. In this paper, a sub-optimal low-complexity multi-stage pipeline decoder architecture for a powerful channel coding technique known as ā€œturbo-codeā€ is presented. The presented architecture avoids complex operations such as exponent and logarithmic computations. The turbo-code decoding algorithm is reformulated for an efficient VLSI implementation. Furthermore, the communication channel statistic estimation process has been completely eliminated. The architecture has been designed and implemented with the 0.6 Ī¼m CMOS standard cell technology using Epoch computer aided design tool. The performance and the circuit complexity of the turbo-code decoder are evaluated and compared with the other types of well-known decoders. The power consumption of the low-complexity turbo-code decoder is comparable to that of the conventional convolutional-code decoder. However, the low-complexity turbo-code decoder has a significant coding gain over the conventional convolutional-code decoders and it is well suited for very low power applications.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/41335/1/11265_2004_Article_253264.pd
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