An improved SOVA for Turbo Code Decoding

Abstract

This paper proposes an improved SOVA for turbo code decoding, and it targets the decoded state error. According to the simulation results, for 5 iterations, the Itr performance of modification with decoding depth = 12 is better than that of conventional decoder with (5 = 20. For siso Inter-SISO the size and power consumption of SMU and TBU, the Ykl Decoder 1 leaver L2 (k Deco L2 (k) reduction ration can be about 20%. With 2-3 iterations, the Yk performance of modification is equivalent to that of 1 1, (k) conventional decoder with 5 iterations. For 8 = 20 , the Figure 1. Turbo decoder structure reduction ration of reliability values store operations and interleaving/deinterleaving is about 28% and 40%, SOFT OUTPUT VITERBI ALGORITHM respectively.

Design and Performance Analysis of an Improved Decoding Algorithm for Turbo Codes

“…With each constituent decoder, the decoding procedure of SOVA can be divided into 3 steps [4] . In the first step, a soft decision Viterbi algorithm is employed.…”