@CONFERENCE\{IMM2005-03981, author = "L. P. B. Christensen", title = "Minimum Symbol Error Rate Detection in Single-Input Multiple-Output Channels with Markov Noise", year = "2005", month = "jun", booktitle = "The 6th {IEEE} Workshop on Signal Processing Advances in Wireless Communications (SPAWC)", volume = "", series = "", editor = "", publisher = "", organization = "", address = "", url = "http://www2.compute.dtu.dk/pubdb/pubs/3981-full.html", 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." }