NDLI: An adaptive RSSE-PSP receiver with a pre-filter for EDGE systems

Content Provider	IEEE Xplore Digital Library
Author	Zhenhong Li Piirainen, O. Mammela, A.
Copyright Year	2003
Description	Author affiliation: Nokia Networks, Oulu, Finland (Zhenhong Li; Piirainen, O.)
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.
Starting Page	3594
Ending Page	3598
File Size	372935
Page Count	5
File Format	PDF
ISBN	0780378024
DOI	10.1109/ICC.2003.1204123
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-05-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision feedback equalizers Maximum likelihood estimation Least squares approximation Intersymbol interference Time varying systems Delay estimation Computer errors Interference cancellation Computer simulation Viterbi algorithm
Content Type	Text
Resource Type	Article

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