Spatio-temporal training-sequence-based channel equalization and adptive interference cancellation

We consider mobile radio communications with one user of interest and possibly interfering users and noise, over several discrete-time channels obtained either by oversampling or from multiple antennas. The optimal receiver structure for one signal of interest plus spatially and temporally correlated noise is MLSE equalization with an appropriately weighted metric for vector signals. We show however that we can alternatively pass the vector received signal through both a MISO (multi-input single output) matched filter and a MIMO blocking equalizer. The blocking equalizer output is independent of the signal of interest and is used as the input to a MISO Wiener filter that reduces the noise in the matched filter ouput. The training sequence of the signal of interest can be used to estimate the corresponding channel, from which matched filter and blocking equalizer can be determined. The remaining quantities can be adapted from the available signals.