New SISO decoding algorithms |
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| Authors: | Jun Tan Stuber GL |
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| Affiliation: | Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA; |
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| Abstract: | A new maximum a posteriori (MAP)-equivalent soft-input soft-output (SISO) algorithm is derived together with its simplified versions. The proposed SISO algorithms provide a good compromise between complexity and performance. Our simplest SISO algorithm has lower complexity than the log-MAP, the max-log-MAP, and the soft-output Viterbi (1998) algorithm SISO algorithms, and it is an equivalent max-log-MAP algorithm. When this algorithm is used, turbo codes with block length as short as 150 bits will outperform convolutional codes when compared on the basis of equal decoder complexity. |
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