Open AccessOptimal SP training for spatially correlated MIMO channels under coloured noises
Author(s) -
Tran N.N.,
Nguyen H.X.
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2014.3607
Subject(s) - mimo , channel (broadcasting) , training (meteorology) , gaussian , computer science , regular polygon , signal (programming language) , algorithm , mathematics , telecommunications , geography , physics , geometry , quantum mechanics , meteorology , programming language
Based on convex programming for optimisation, the optimal superimposed (SP) training signal design is proposed for spatially correlated multiple‐input–multiple‐output (MIMO) channels in the presence of correlated symbols and coloured Gaussian noises. Simulation results show that the proposed training design can effectively estimate the channel and outperforms the existing designs.