Vol.38 No.10

Journal of Xi'an Jiaotong University

Oct.2004

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Low Power Consumption Turbo Decoding Algorithm
Feng Mang,Yan Hongsen
(School of Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,China)
Abstract:To lower power consumption in Turbo decoding, a new algorithm based on trellis combination was proposed. Given an integer combination parameter N, the number of decoding steps in the new algorithm is reduced to 1£¯N of conventional methods, which makes the required number of memory accesses reduced by N times. As memory accesses constitute the main source of power consumption in the decoding process,this new algorithm significantly reduces the required power consumption.Based on theoretical analysis and algorithm simulation,this new algorithm was compared in detail with the conventional maximum a posteriori algorithm from the perspectives of decoding reliability,operating process,computation complexity and practicability.The results show that the new algorithm is both feasible and effective.
Keywords:Turbo decoding;maximum a posteriori algorithm;trellis