TY - GEN
T1 - Maximum likelihood detection for quantized MIMO systems
AU - Mezghani, Amine
AU - Khoufi, Mohamed Seifeddine
AU - Nossek, Josef A.
PY - 2008
Y1 - 2008
N2 - In this work, Maximum Likelihood-detection (ML-detection) for MIMO systems operating on quantized data is considered. It turns out that the optimal decision rule is generally intractable. Therefore, we propose a suboptimal solution with lower complexity. Assuming a Rayleigh fading MIMO environment, an upper bound on the error probability is derived for the case where the number of transmit and receive antennas are equal. Furthermore, we introduce a new performance measure that relates the outage properties to the bit resolution in this context.
AB - In this work, Maximum Likelihood-detection (ML-detection) for MIMO systems operating on quantized data is considered. It turns out that the optimal decision rule is generally intractable. Therefore, we propose a suboptimal solution with lower complexity. Assuming a Rayleigh fading MIMO environment, an upper bound on the error probability is derived for the case where the number of transmit and receive antennas are equal. Furthermore, we introduce a new performance measure that relates the outage properties to the bit resolution in this context.
UR - http://www.scopus.com/inward/record.url?scp=49749128129&partnerID=8YFLogxK
U2 - 10.1109/WSA.2008.4475570
DO - 10.1109/WSA.2008.4475570
M3 - Conference contribution
AN - SCOPUS:49749128129
SN - 9781424417575
T3 - 2008 International ITG Workshop on Smart Antennas, WSA 2008
SP - 278
EP - 284
BT - 2008 International ITG Workshop on Smart Antennas, WSA 2008
T2 - 2008 International ITG Workshop on Smart Antennas, WSA 2008
Y2 - 26 February 2008 through 27 February 2008
ER -