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.
|Title of host publication||The 6th IEEE Workshop on Signal Processing Advances in Wireless Communications|
|Publication status||Published - 2005|
|Event||IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005 - |
Duration: 1 Jan 2005 → …
|Conference||IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005|
|Period||01/01/2005 → …|