Soft-In Soft-Out Detection Using Partial Gaussian Approximation
This paper concerns the soft-in soft-out detection in a coded communication system, where thetransmitted symbols are discrete valued, and the exact a posteriori probability (APP) detection often involves prohibitive complexity. By using the properties of Gaussian functions, an approximate approach t...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
IEEE Access
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/27661 |
| _version_ | 1848752325771919360 |
|---|---|
| author | Guo, Q. Huang, D. Nordholm, Sven Xi, J. Ping, L. |
| author_facet | Guo, Q. Huang, D. Nordholm, Sven Xi, J. Ping, L. |
| author_sort | Guo, Q. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper concerns the soft-in soft-out detection in a coded communication system, where thetransmitted symbols are discrete valued, and the exact a posteriori probability (APP) detection often involves prohibitive complexity. By using the properties of Gaussian functions, an approximate approach to the APP detection is devised with the idea that, in the computation of the APP of each symbol, the remaining symbols are distinguished based on their contributions to the APP of the concerned symbol, and the symbols with less contributions are approximated as (continuous) Gaussian variables [hence the name partial Gaussian approximation (PGA)] to reduce the computational complexity. The connection between the PGA detector and the reduced dimension maximum a posteriori detector (RDMAP) is investigated. It is shown that, PGA isequivalent to RDMAP, but it has a complexity much lower than that of RDMAP, i.e., PGA can be regarded as an efcient implementation of RDMAP. In addition, the application of PGA in intersymbol interference (ISI) channel equalization is also investigated.We show that PGA allows further signicant complexity reduction by exploiting the circulant structure of the system transfer matrix, which makes PGA very attractive in handling severe ISI channels with large memory length. |
| first_indexed | 2025-11-14T08:06:50Z |
| format | Journal Article |
| id | curtin-20.500.11937-27661 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:06:50Z |
| publishDate | 2014 |
| publisher | IEEE Access |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-276612017-09-13T15:06:34Z Soft-In Soft-Out Detection Using Partial Gaussian Approximation Guo, Q. Huang, D. Nordholm, Sven Xi, J. Ping, L. RDMAP turbo equalization Soft-in soft-out detection LMMSE detection Gaussian functions This paper concerns the soft-in soft-out detection in a coded communication system, where thetransmitted symbols are discrete valued, and the exact a posteriori probability (APP) detection often involves prohibitive complexity. By using the properties of Gaussian functions, an approximate approach to the APP detection is devised with the idea that, in the computation of the APP of each symbol, the remaining symbols are distinguished based on their contributions to the APP of the concerned symbol, and the symbols with less contributions are approximated as (continuous) Gaussian variables [hence the name partial Gaussian approximation (PGA)] to reduce the computational complexity. The connection between the PGA detector and the reduced dimension maximum a posteriori detector (RDMAP) is investigated. It is shown that, PGA isequivalent to RDMAP, but it has a complexity much lower than that of RDMAP, i.e., PGA can be regarded as an efcient implementation of RDMAP. In addition, the application of PGA in intersymbol interference (ISI) channel equalization is also investigated.We show that PGA allows further signicant complexity reduction by exploiting the circulant structure of the system transfer matrix, which makes PGA very attractive in handling severe ISI channels with large memory length. 2014 Journal Article http://hdl.handle.net/20.500.11937/27661 10.1109/ACCESS.2014.2322078 IEEE Access unknown |
| spellingShingle | RDMAP turbo equalization Soft-in soft-out detection LMMSE detection Gaussian functions Guo, Q. Huang, D. Nordholm, Sven Xi, J. Ping, L. Soft-In Soft-Out Detection Using Partial Gaussian Approximation |
| title | Soft-In Soft-Out Detection Using Partial Gaussian Approximation |
| title_full | Soft-In Soft-Out Detection Using Partial Gaussian Approximation |
| title_fullStr | Soft-In Soft-Out Detection Using Partial Gaussian Approximation |
| title_full_unstemmed | Soft-In Soft-Out Detection Using Partial Gaussian Approximation |
| title_short | Soft-In Soft-Out Detection Using Partial Gaussian Approximation |
| title_sort | soft-in soft-out detection using partial gaussian approximation |
| topic | RDMAP turbo equalization Soft-in soft-out detection LMMSE detection Gaussian functions |
| url | http://hdl.handle.net/20.500.11937/27661 |