Title :
A super-exponential algorithm for blind fractionally spaced equalization
Author :
Gomes, João ; Barroso, Victor
Author_Institution :
Inst. de Sistemas e Robotica, Inst. Superior Tecnico, Lisbon, Portugal
Abstract :
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.
Keywords :
convergence of numerical methods; discrete time filters; equalisers; error analysis; least mean squares methods; matched filters; pulse amplitude modulation; sensitivity analysis; signal sampling; FSE solution; PAM; blind fractionally spaced equalization; cyclostationarity; discrete-time matched filter; fractionally sampled pulse amplitude modulated signals; residual error; super-exponential algorithm; timing sensitivity; Amplitude modulation; Blind equalizers; Matched filters; Pulse modulation; Pulse shaping methods; Sampling methods; Shape; Signal synthesis; Steady-state; Timing;
Journal_Title :
Signal Processing Letters, IEEE
