2010/08/17 by Guan Gui, Gui, Guan, Qun Wan +5
Computer Science · Mathematics · #FOS: Computer and information sciences #Information Theory (cs.IT) #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1008.2873
the paper has been withdrawn
arxiv created 2013/06/23 · arxiv updated 2013/06/25
Two-way relay network (TWRN) was introduced to realize high-data rate transmission over the wireless frequency-selective channel. However, TWRC requires the knowledge of channel state information (CSI) not only for coherent data detection but also for the self-data removal. This is partial accomplished by training sequence-based linear channel estimation. However, conventional linear estimation techniques neglect anticipated sparsity of multipath channel. Unlike the previous methods, we propose a compressive channel estimation method which exploit the sparse structure and provide significant improvements in MSE performance when compared with traditional LSbased linear channel probing strategies. Simulation results confirm the proposed methods.