Title :
Subspace-based SNR estimator for OFDM system under different channel conditions
Author :
Wei Li ; Yue Zhang ; Yuan Zhang ; Li-ke Huang ; Cosmas, J. ; Maple, Carsten
Author_Institution :
Inst. for Res. in Applicable Comput., Univ. of Bedfordshire, Luton, UK
Abstract :
Signal-to-noise ratio (SNR) estimation plays an important role to adaptive modulation in Evolved Multimedia Broadcast Multicast Services (eMBMS). Based on the knowledge that the received signal space consists of signal subspace and noise subspace, we propose a subspace-based SNR estimation solution to cope with the time-varying channel with frequency selective effect and different OFDM pilot structure situations in eMBMS. The simulation is carried out on both PC and Aeroflex PXI platform. Simulation results show this proposed method gives good performance with different eMBMS pilot length and time-varying channels.
Keywords :
OFDM modulation; adaptive estimation; multicast communication; multimedia communication; time-varying channels; Aeroflex PXI platform; OFDM pilot structure situation; PC; adaptive modulation; eMBMS; evolved multimedia broadcast multicast services; frequency selective effect; noise subspace-based SNR estimator; signal space receiver; signal subspace-based SNR estimator; signal-to-noise ratio; time-varying channel; Channel estimation; Eigenvalues and eigenfunctions; Estimation; OFDM; Signal to noise ratio; Vectors; MDL; OFDM; SNR estimation; eMBMS; subspace;
Conference_Titel :
Broadband Multimedia Systems and Broadcasting (BMSB), 2013 IEEE International Symposium on
Conference_Location :
London
DOI :
10.1109/BMSB.2013.6621687
