DocumentCode
3513917
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
Volume
5
fYear
2003
fDate
11-15 May 2003
Firstpage
3594
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2003. ICC '03. IEEE International Conference on
Print_ISBN
0-7803-7802-4
Type
conf
DOI
10.1109/ICC.2003.1204123
Filename
1204123
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