Title :
Unbiased maximum SINR prefiltering for reduced-state equalization
Author :
Dang, Uyen Ly ; Gerstacker, Wolfgang H. ; Slock, Dirk T. M.
Author_Institution :
Mobile Commun., Univ. of Erlangen-Nurnberg, Erlangen, Germany
fDate :
Aug. 29 2011-Sept. 2 2011
Abstract :
We consider prefiltering for a single-carrier transmission over frequency-selective channels, where reduced-state trellis-based equalization is employed at the receiver. While previously proposed prefiltering schemes are based on the optimum filters of decision-feedback equalization (DFE), the prefiltering scheme introduced in this paper is designed according to a signal-to-interference-plus-noise ratio (SINR), whose definition takes into account explicitly the subsequent trellis-based equalizer and its complexity. In addition to the prefilter, a finite-length target impulse response for trellis-based equalization and a feedback filter for state-dependent decision feedback in equalization, respectively, is determined. However, it is shown that a direct maximization of the SINR with respect to all filters results in a biased solution, and the relation of this solution to an optimum unbiased solution with improved error rate performance, which is also derived, is investigated.
Keywords :
decision feedback equalisers; filtering theory; transient response; direct SINR maximization; error rate performance improvement; feedback filter; finite-length target impulse response; frequency-selective channels; reduced-state trellis-based equalization; signal-to-interference-plus-noise ratio; single-carrier transmission; state-dependent decision feedback; subsequent trellis-based equalizer; unbiased maximum SINR prefiltering; Decision feedback equalizers; Feedforward neural networks; Finite impulse response filters; Interference; Measurement; Signal to noise ratio; Transfer functions;
Conference_Titel :
Signal Processing Conference, 2011 19th European
Conference_Location :
Barcelona