Title :
A decision feedback filter
Author :
Gelfand, Saul B. ; Fitz, Michael P.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
Due to its low complexity and robust performance, the decision feedback equalizer (DFE) continues to play an important role in high data rate and/or low cost systems, e.g., digital subscriber lines, magnetic recording and (possibly) mobile radio. Here we examine the possibility of recursive equalizers which perform soft-decisioning with complexity comparable to the DFE. The approach taken here involves initially making decisions like a DFE, followed by post filtering of these decisions using a recursive (conditionally) linear filter structure; we call this a decision feedback filter (DFF). Significantly, the DFF can be set-up to provably retain the performance capability of the DFE at high SNR, and empirically has improved performance over a wide range of SNR
Keywords :
decision feedback equalisers; recursive filters; SNR; decision feedback equalizer; decision feedback filter; low complexity; post filtering; recursive equalizers; recursive linear filter structure; robust performance; soft-decisioning; Bit error rate; Costs; Data engineering; Decision feedback equalizers; Finite impulse response filter; High performance computing; Magnetic separation; Nonlinear filters; Robustness; Signal to noise ratio;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.550323