Title :
Worst-case mean square error (MSE) transceiver design for imperfect estimate multi-input-multi-output communication channels
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Abstract :
The authors consider the worst-case transceiver design problem under spectrum bounded channel uncertainty matrices. Their design aims to minimise the trace and the determinant of the estimate error covariance matrix, respectively. The authors relax the formulated problem into an optimisation problem with bilinear matrix inequality constraints (i.e. BMI problem), from which a local optimal solution is obtained by applying semi-definite programming. Furthermore, the authors consider norm bounded source symbols and extend their approach to design the worst-case transceiver with respect to both channel uncertainties and norm bounded source symbols.
Keywords :
MIMO communication; channel estimation; covariance matrices; mathematical programming; mean square error methods; radio transceivers; BMI problem; MIMO communication; MSE transceiver design; bilinear matrix inequality constraints; error covariance matrix estimation; imperfect channel estimation; local optimal solution; multi-input-multi-output communication; norm bounded source symbols; optimisation problem; semidefinite programming; spectrum bounded channel uncertainty matrices; worst-case mean square error transceiver design;
Journal_Title :
Communications, IET
DOI :
10.1049/iet-com.2012.0009