Minimum Symbol Error Rate Detection in Single-Input Multiple-Output Channels with Markov Noise

Lars P. B. Christensen

AbstractMinimum 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.
TypeConference paper [With referee]
ConferenceThe 6th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Year2005    Month June
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing