Title :
Spatial modulation detection based on projection decomposition
Author_Institution :
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´an, China
Abstract :
In this paper, we propose to decompose the received signal into its projection on the channel vector and the corresponding perpendicular in the spatial modulation (SM) detection. Based on this decomposition, the optimal joint antenna and symbol detection can be done separately with reduced complexity and no performance loss. Moreover, the constellation symmetry and a lower bound approximation are employed in the antenna detection to reduce its complexity further. Simulation results are provided to demonstrate the performance of the proposed detectors.
Keywords :
MIMO communication; antennas; maximum likelihood detection; space division multiplexing; antenna detection; channel vector; constellation symmetry; lower bound approximation; maximum-likelihood detection; optimal joint antenna; projection decomposition; spatial modulation detection; symbol detection; Antennas; Bit error rate; Complexity theory; Detectors; Joints; Modulation; Vectors; MIMO; Spatial modulation; complexity; maximum-likelihood detection;
Conference_Titel :
Communications in China (ICCC), 2013 IEEE/CIC International Conference on
Conference_Location :
Xi´an
DOI :
10.1109/ICCChina.2013.6671134