TY - GEN
T1 - Enhanced Frequency-Domain Signal Detection for Single-Carrier Spatial Modulation Systems
AU - Lee, Yinman
AU - Sou, Sok Ian
N1 - Funding Information:
The work of Y. Lee was sponsored in part by Ministry of Science and Technology (MOST), Taiwan, under Grant MOST 106-2221-E-260-004-, and the work of S.-I. Sou was sponsored in part by MOST, Taiwan, under Grant MOST 105-2628-E-006-007-MY3.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/11
Y1 - 2018/9/11
N2 - It is shown that spatial modulation (SM) can be effectively combined with single-carrier (SC) transmission to obtain the advantages in both aspects for broadband wireless communications. However, the signal detection methods for the cyclic-prefix (CP) based SC-SM system are generally not sophisticated enough to provide good performance in many scenarios. In this paper, to lower the frequency-domain equalization complexity, we first consider employing a special recursive method to invert the Gram matrix in the minimum mean-squared-error (MMSE) weight calculation. Second, energy detection is used to locate the active transmit antennas for each SM symbol. Simple single-symbol maximum likelihood (ML) detection can then be used to extract the transmitted modulated symbols in those active transmit antennas with negligible loss in the error-rate performance. On the other hand, M -algorithm is applied for enhancing the error rate to various extents. Results show that a better compromise between the computational complexity and the error rate can.
AB - It is shown that spatial modulation (SM) can be effectively combined with single-carrier (SC) transmission to obtain the advantages in both aspects for broadband wireless communications. However, the signal detection methods for the cyclic-prefix (CP) based SC-SM system are generally not sophisticated enough to provide good performance in many scenarios. In this paper, to lower the frequency-domain equalization complexity, we first consider employing a special recursive method to invert the Gram matrix in the minimum mean-squared-error (MMSE) weight calculation. Second, energy detection is used to locate the active transmit antennas for each SM symbol. Simple single-symbol maximum likelihood (ML) detection can then be used to extract the transmitted modulated symbols in those active transmit antennas with negligible loss in the error-rate performance. On the other hand, M -algorithm is applied for enhancing the error rate to various extents. Results show that a better compromise between the computational complexity and the error rate can.
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U2 - 10.1109/CCOMS.2018.8463352
DO - 10.1109/CCOMS.2018.8463352
M3 - Conference contribution
AN - SCOPUS:85054795191
SN - 9781538663509
T3 - 2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018
SP - 263
EP - 267
BT - 2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Computer and Communication Systems, ICCCS 2018
Y2 - 27 April 2018 through 30 April 2018
ER -