A combination of statistical and structural approaches in blind equalization algorithms

This paper presents two ways of obtaining more robust and/or efficient blind equalization algorithms. The first one is based on the linear combination of second order statistics methods (SOS) and higher order statistics methods (HOS) in such way that the advantages of both approaches are kept. The new algorithm has better performance than each of its constituents taken separately (pure HOS or SOS method) rather than performance "in between". The second idea consists of taking into account some deterministic knowledge of the input signal in the SOS methods. The results obtained show that this technique also enhances the performance of the algorithm.