A total rejection of interferences under any noise power is difficult, if not impossible, by current filtering technology. In this presentation, we will show that this is indeed achievable by a new filtering technique that extracts the part of the statistics from the received signals, which depend only on the interferences, not on the signals and noises. The algorithm is blind to the signal and interference channels; and hence it needs not to be updated when these channels vary with time. It is also important when the channels cannot be or is too costly to be estimated by pilot signals. The computation is based on statistics that is noise-invariant and hence its accuracy is not impacted by the noise power. Simulation confirmed what is proven that interferences are totally rejected over a wide range of noise power.
['Ruey-Wen Liu', 'Xu Wang', 'Fan He', 'Tao Yang', 'Bo Hu']
A blind technique for total interference rejection