Blind equalisation in the presence of bounded noise

Ali Moussa (1, 2) , Mathieu Pouliquen (1) , Miloud Frikel (1) , Sayda Bedoui (2) , Kamel Abderrahim (2) , Mohammed M'Saad (1)

1 LAC - Laboratoire d'automatique de Caen
2 ENIG - Ecole Nationale d'Ingénieurs de Gabès

This study addresses the blind equalisation problem in the presence of bounded noise using an optimal bounding ellipsoid algorithm. This provides an adequate blind equalisation algorithm with an accurate parameter estimation. A fundamental analysis of the involved equaliser is performed to emphasise its underlying properties. This fundamental result is corroborated by promising simulation results.

Domains: Engineering Sciences [physics]; Signal and Image processing

Ali Moussa, Mathieu Pouliquen, Miloud Frikel, Sayda Bedoui, Kamel Abderrahim, et al.. Blind equalisation in the presence of bounded noise. IET Signal Processing, 2018, 12 (8), pp.957-965. ⟨10.1049/iet-spr.2017.0445⟩. ⟨hal-01821173⟩