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Worst-case mean square error (MSE) transceiver design for imperfect estimate multi-input-multi-output communication channels

Worst-case mean square error (MSE) transceiver design for imperfect estimate multi-input-multi-output communication channels

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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.

Inspec keywords: radio transceivers; mean square error methods; covariance matrices; MIMO communication; channel estimation; mathematical programming

Other keywords: imperfect channel estimation; semidefinite programming; worst-case mean square error transceiver design; optimisation problem; norm bounded source symbols; BMI problem; local optimal solution; spectrum bounded channel uncertainty matrices; error covariance matrix estimation; MIMO communication; MSE transceiver design; bilinear matrix inequality constraints; multi-input-multi-output communication

Subjects: Interpolation and function approximation (numerical analysis); Linear algebra (numerical analysis); Radio links and equipment; Optimisation techniques; Communication channel equalisation and identification

References

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