Apparatus and method for reduced complexity maximum likelihood MIMO detection
US8121220B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 6, 2008 |
| Grant date | Feb 21, 2012 |
| Priority date | — |
| Expiry date | Oct 15, 2030 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2025/03426
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In a multiple-input multiple-output communication system, a transmit symbol vector and a set of soft decision metrics may be estimated using a reduced complexity maximum likelihood (ML) detection method based on a receive symbol vector and a QR decomposition of a set of permuted channel matrices. The reduced complexity ML detection method may use a different permuted channel matrix to estimate each transmit symbol in a transmit symbol vector. A set of error distances may be calculated for the estimated transmit symbol vector, each error distance calculated choosing a different value from a signal constellation subset for a transmit symbol in the estimated transmit symbol vector. A soft decision metric may be calculated using the elements from the set of error distances. In some embodiments the transmit symbols of a transmit symbol vector and the soft decision metrics for each transmit symbol may be determined in parallel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.