This paper presents an efficient Low-Power Viterbi Decoder Design using T-algorithm. It implements the viterbi decoder using T-algorithm for decoding a bit-stream encoded by a corresponding forward error correction convolutional encoding system. A lot of digital communication systems incorporated a viterbi decoder for decoding convolutionally encoded data. The viterbi decoder is able to correct errors in received data caused by channel noise. We proposed an architecture implementing a Viterbi Decoder with Talgorithm deployed with threshold generator unit and purge unit to reduce the number of states which reduce power consumption. We propose modified architecture for the survivor Metric Unit to reduce the memory Access power during the trace back operation. The proposed viterbi decoder is carried out for rate-1/2 with a standard constraint length 7. The Synthesis results will be done using cadence RTL Encounter Tool. For ASIC synthesis, we use TSMC 45-nm CMOS Process. The architecture which reduces the complexity and power Consumption by as much as 70% without effecting the decoding speed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.