Investigation of Sphere Decoder and Channel Tracking Algorithms for Media-Based Modulation over Time-Selective Channels

Abstract EN

The performance of media-based modulation (MBM) systems, where additional information can be conveyed by the indices of the channel states created by RF mirrors, over time-selective channels is investigated.

By transforming the MBM system model into a traditional MIMO system model, we first propose a reduced complexity sphere decoder algorithm.

Then two channel tracking algorithms, which are based on least mean square adaptive filter and recursive least-squares adaptive filter, are employed in order to combat the performance loss caused by the time-varying channels.

Numerical results show that the proposed sphere decoder and these two channel tracking algorithms perform well in MBM systems.