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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Champaneria, N. Moon, T.K. Gunther, J.H. |
| Copyright Year | 2006 |
| Description | Author affiliation: Utah State Univ., Logan, UT (Champaneria, N.; Moon, T.K.; Gunther, J.H.) |
| Abstract | Soft output decoding of trellis-based problems, such as BCJR and the SOVA, has advantages in some applications. However these optimal methods are computationally intensive for all but short constraint lengths. A significant reduction in complexity can be obtained by using sequential decoding methods. This paper considers a modification of the stack algorithm to produce soft outputs and compares these with the soft values generated by the BCJR. The soft output stack provides around 1.5 dB of gain over the hard decision stack in some SNR regions. Also the soft values correlate highly with those generated by the BCJR and the Viterbi, especially at high SNR. |
| Starting Page | 2195 |
| Ending Page | 2199 |
| File Size | 246639 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424407842 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.2006.355158 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iterative algorithms Iterative decoding Viterbi algorithm Computational complexity Moon Jacobian matrices Gain Convolutional codes Delay Counting circuits |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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