A super-exponential algorithm for blind fractionally spaced equalization

In this letter, a blind fractionally spaced equalizer (FSE) is presented. This work extends the super-exponential algorithm of Shalvi and Weinstein (1993, 1994) by exploiting the cyclostationarity of fractionally sampled pulse amplitude modulated (PAM) signals. The resulting algorithm converges to the classic FSE solution, and therefore it synthesizes a discrete-time matched filter without prior knowledge of both channel and transmitted sequence. Experimental results show the improvement in residual error and timing sensitivity over the symbol-spaced super-exponential algorithm.