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

Lars P.B. Christensen

doi:10.1109/SPAWC.2005.1505907

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

Lars P.B. Christensen (Invited author)

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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.

Original language	English
Title of host publication	The 6th IEEE Workshop on Signal Processing Advances in Wireless Communications
Publisher	IEEE
Publication date	2005
ISBN (Print)	0-7803-8867-4
DOIs	https://doi.org/10.1109/SPAWC.2005.1505907
Publication status	Published - 2005
Event	2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications - New York, United States Duration: 5 Jun 2005 → 8 Jun 2005 Conference number: 6 https://ieeexplore.ieee.org/xpl/conhome/10050/proceeding

Workshop

Workshop	2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications
Number	6
Country/Territory	United States
City	New York
Period	05/06/2005 → 08/06/2005
Internet address	https://ieeexplore.ieee.org/xpl/conhome/10050/proceeding

Bibliographical note

Copyright: 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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@inproceedings{8582ce426bb44eb8b57b80f94a078408,

title = "Minimum Symbol Error Rate Detection in Single-Input Multiple-Output Channels with Markov Noise",

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.",

author = "Christensen, {Lars P.B.}",

note = "Copyright: 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2005 ; Conference date: 05-06-2005 Through 08-06-2005",

year = "2005",

doi = "10.1109/SPAWC.2005.1505907",

language = "English",

isbn = "0-7803-8867-4",

booktitle = "The 6th IEEE Workshop on Signal Processing Advances in Wireless Communications",

publisher = "IEEE",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/10050/proceeding",

}

Christensen, LPB 2005, Minimum Symbol Error Rate Detection in Single-Input Multiple-Output Channels with Markov Noise. in The 6th IEEE Workshop on Signal Processing Advances in Wireless Communications. IEEE, 2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, New York, New York, United States, 05/06/2005. https://doi.org/10.1109/SPAWC.2005.1505907

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T1 - Minimum Symbol Error Rate Detection in Single-Input Multiple-Output Channels with Markov Noise

AU - Christensen, Lars P.B.

N1 - Conference code: 6

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

U2 - 10.1109/SPAWC.2005.1505907

DO - 10.1109/SPAWC.2005.1505907

M3 - Article in proceedings

SN - 0-7803-8867-4

BT - The 6th IEEE Workshop on Signal Processing Advances in Wireless Communications

PB - IEEE

T2 - 2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications

Y2 - 5 June 2005 through 8 June 2005

ER -

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

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