System and method for self-adaptive maximum likelihood sequence detection using a T-algorithm
US6490327B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 30, 1998 |
| Grant date | Dec 3, 2002 |
| Priority date | — |
| Expiry date | Dec 30, 2018 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L25/03222
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A telecommunications system and method is disclosed for employing an improved self-adaptive maximum likelihood sequence detection technique using a T-algorithm and its variants in order to reduce signal distortion in cellular networks. If the noise variance is known, the T-algorithm computes the metric for all the branches in the stack and computes an expected value of the desired metric. Each branch not within a small, predefined deviation from the desired metric is discarded. However, if the noise variance cannot be reliably estimated, the T-algorithm used is similar to the previously described T-algorithm, except that the comparison is with the overall best path with the minimum metric. In other words, the path with the minimum value of the metric is computed and all paths within the small, predetermined deviation of this metric are retained and the remaining are deleted from the stack.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.