z-logo
open-access-imgOpen Access
Optimization of Training Signal Transmission for Estimating MIMO Channel under Antenna Mutual Coupling Conditions
Author(s) -
Xia Liu,
M.E. Bialkowski
Publication year - 2010
Publication title -
international journal of antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.282
H-Index - 37
eISSN - 1687-5877
pISSN - 1687-5869
DOI - 10.1155/2010/213576
Subject(s) - mimo , channel (broadcasting) , coupling (piping) , transmission (telecommunications) , antenna (radio) , minimum mean square error , signal (programming language) , electronic engineering , computer science , eigenvalues and eigenvectors , precoding , matrix (chemical analysis) , mean squared error , algorithm , control theory (sociology) , mathematics , engineering , telecommunications , statistics , physics , artificial intelligence , materials science , mechanical engineering , control (management) , quantum mechanics , estimator , composite material , programming language
This paper reports investigations on the effect of antenna mutual coupling on performance of training-based Multiple-Input Multiple-Output (MIMO) channel estimation. The influence of mutual coupling is assessed for two training-based channel estimation methods, Scaled Least Square (SLS) and Minimum Mean Square Error (MMSE). It is shown that the accuracy of MIMO channel estimation is governed by the sum of eigenvalues of channel correlation matrix which in turn is influenced by the mutual coupling in transmitting and receiving array antennas. A water-filling-based procedure is proposed to optimize the training signal transmission to minimize the MIMO channel estimation errors

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom