Title :
An adaptive RSSE-PSP receiver with a pre-filter for EDGE systems
Author :
Li, Zhenhong ; Piirainen, Olli ; Mämmelä, Aarne
Author_Institution :
Nokia Networks, Oulu, Finland
Abstract :
An adaptive reduced-state sequence estimation (RSSE) receiver based on per-survivor processing (PS) in conjunction with a local decision feedback equalizer (DFE) for the EDGE system with 8PSK modulation is proposed in this paper. A pre-filter prior to the RSSE-PSP is exploited to reshape the channel impulse response (CIR) to have approximately a minimum phase property. The pre-filter settings are computed indirectly by estimating the CIR from the midamble with the least squares algorithm and then applying the minimum-mean square error (MMSE) criterion to reshape the estimated CIR. The proposed scheme handles the first part of the sampled CIR by the RSSE-PSP and the rest by the local DFE, which utilizes the decision per survivor mechanism for reducing the error propagation and complexity reduction. A good trade-off between the performance and complexity could be achieved by retaining the RSSE-PSP for good performance and local DFE for intersymbol interference cancellation. Computer simulations indicate that the RSSE-PSP with a pre-filter works well in ISI channels with a lower computation burden.
Keywords :
adaptive estimation; cellular radio; computational complexity; decision feedback equalisers; interference suppression; intersymbol interference; least mean squares methods; phase shift keying; transient response; 8PSK modulation; CIR; DFE; EDGE systems; ISI channels; MMSE; adaptive reduced-state sequence estimation receiver; channel impulse response; complexity reduction; decision feedback equalizer; error propagation; intersymbol interference cancellation; least squares algorithm; minimum-mean square error; per-survivor processing; prefilter; Computer errors; Computer simulation; Decision feedback equalizers; Delay estimation; Interference cancellation; Intersymbol interference; Least squares approximation; Maximum likelihood estimation; Time varying systems; Viterbi algorithm;
Conference_Titel :
Communications, 2003. ICC '03. IEEE International Conference on
Print_ISBN :
0-7803-7802-4
DOI :
10.1109/ICC.2003.1204123