A SUPER-EXPONENTIAL ALGORITHM FOR BLIND FRACTIONALLY-SPACED EQUALIZATION

In this letter, a blind fractionally spaced equalizer (FSE) is present ed. This work extends the super-exponential algorithm of Shalvi and We instein by exploiting the cyclostationarity of fractionally sampled pu lse amplitude modulated (PAM) signals, The resulting algorithm converg es to the classic FSE solution, and therefore it synthesizes a discret e-time matched filter without prior knowledge of both channel and tran smitted sequence, Experimental results show the improvement in residua l error and timing sensitivity over the symbol-spaced super-exponentia l algorithm.