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access icon free Design of superimposed training sequence for spatially correlated multiple-input–multiple-output channels under interference-limited environments

© The Institution of Engineering and Technology
Received 16/10/2014, Accepted 08/01/2015, Published 18/05/2015

In this study, the design of a superimposed training (ST) for an interference-limited spatially correlated multiple-input–multiple-output (MIMO) system is addressed and a closed-form solution for designing the training signal is proposed in a sub-optimal way. Earlier papers have considered noise limited MIMO systems. The authors also propose random/orthogonal variable spread factor (OVSF) codes as a choice for the ST signal. The mean-squared error of the channel estimate and symbol error rate performances are obtained through simulation. Considering the power allocation issue between the data and training symbols, a sub-optimal average training power that maximises the lower bound on the effective signal-to-interference ratio is also proposed. Simulation results show that the bit error rate performance of the ST is indistinguishable from the OVSF/random ST sequence.

Inspec keywords: radiofrequency interference; mean square error methods; MIMO communication; wireless channels

Other keywords: ST; MIMO system; mean squared error; superimposed training sequence; multiple-input-multiple-output; random/orthogonal variable spread factor; symbol error rate; OVSF; interference limited environments; spatially correlated multiple-input-multiple-output channels

Subjects: Radio links and equipment; Electromagnetic compatibility and interference; Interpolation and function approximation (numerical analysis)

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