TY - GEN
T1 - Training sequence-aided QRM-MLD block signal detection for single-carrier MIMO spatial multiplexing
AU - Yamamoto, Tetsuya
AU - Takeda, Kazuki
AU - Adachi, Fumiyuki
PY - 2011/9/2
Y1 - 2011/9/2
N2 - QR decomposition with M-algorithm maximum likelihood detection (QRM-MLD) block signal detection can significantly improve the packet error rate (PER) performance of cyclic prefix-inserted single-carrier (CP-SC) multi-input multi-output (MIMO) spatial multiplexing when compared to the frequency-domain spatial filtering based on the minimum mean square error (MMSE) criterion. However, in order to achieve the sufficiently improved performance, the use of a fairly large number M of surviving paths in the M-algorithm is required because if smaller M is used, the probability of removing the correct path at early stages increases. In this paper, to reduce this probability, we proposed a training sequence-aided QRM-MLD block signal detection for SC MIMO spatial multiplexing. We show by computer simulation that training sequence-aided SC (TA-SC) MIMO spatial multiplexing using QRM-MLD block signal detection with M=16 can achieve the PER performance similar to CP-SC MIMO spatial multiplexing with M=1024 in the case of 16QAM and 4x4 MIMO spatial multiplexing.
AB - QR decomposition with M-algorithm maximum likelihood detection (QRM-MLD) block signal detection can significantly improve the packet error rate (PER) performance of cyclic prefix-inserted single-carrier (CP-SC) multi-input multi-output (MIMO) spatial multiplexing when compared to the frequency-domain spatial filtering based on the minimum mean square error (MMSE) criterion. However, in order to achieve the sufficiently improved performance, the use of a fairly large number M of surviving paths in the M-algorithm is required because if smaller M is used, the probability of removing the correct path at early stages increases. In this paper, to reduce this probability, we proposed a training sequence-aided QRM-MLD block signal detection for SC MIMO spatial multiplexing. We show by computer simulation that training sequence-aided SC (TA-SC) MIMO spatial multiplexing using QRM-MLD block signal detection with M=16 can achieve the PER performance similar to CP-SC MIMO spatial multiplexing with M=1024 in the case of 16QAM and 4x4 MIMO spatial multiplexing.
KW - MIMO
KW - QRM-MLD
KW - component; Single-carrier
KW - training sequence
UR - http://www.scopus.com/inward/record.url?scp=80052173254&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052173254&partnerID=8YFLogxK
U2 - 10.1109/icc.2011.5963480
DO - 10.1109/icc.2011.5963480
M3 - Conference contribution
AN - SCOPUS:80052173254
SN - 9781612842332
T3 - IEEE International Conference on Communications
BT - 2011 IEEE International Conference on Communications, ICC 2011
T2 - 2011 IEEE International Conference on Communications, ICC 2011
Y2 - 5 June 2011 through 9 June 2011
ER -