A fixed radio system using MIMO cancellation and equalization and its performance model

A theory of equalization and cancellation in digital data transmission over a MEMO multipath fading channel is presented. The theory extends the classic equalization and cancellation theory into matrix forms to mitigate intersymbol interference (ISI) and cross-polarization interference (CPI) by means of minimizing the overall mean-square error (MSE). We evaluate the performance of several configurations for a sample propagation model with several snapshots of fading events in computer simulations. Both MSE and average error probability are evaluated and compared. We find that the decision feedback structure demonstrates a better performance than the linear equalizer structure. Furthermore, less amount of MSE can be translated into smaller error probability values only in cases of relatively large signal-to-noise ratios.