Minimum Symbol Error Rate Detection in Single-Input Multiple-Output Channels with Markov Noise |
Lars P. B. Christensen
|
| Abstract | Minimum symbol error rate detection in Single-Input Multiple-
Output(SIMO) channels with Markov noise is presented.
The special case of zero-mean Gauss-Markov noise is examined
closer as it only requires knowledge of the second-order
moments. In this special case, it is shown that optimal
detection can be achieved by a Multiple-Input Multiple-
Output(MIMO) whitening filter followed by a traditional
BCJR algorithm. The Gauss-Markov noise model provides
a reasonable approximation for co-channel interference, making
it an interesting single-user detector for many multiuser
communication systems where interference from other
transmitters has a limiting effect. |
| Type | Conference paper [With referee] |
| Conference | The 6th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC) |
| Year | 2005 Month June |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |