Title :
Extended MLSE diversity receiver for the time- and frequency-selective channel
Author :
Hart, Brian ; Taylor, D.P.
Author_Institution :
Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
Abstract :
This paper develops an MLSE diversity receiver for the time- and frequency-selective channel corrupted by additive Gaussian noise, when linear constellations are employed. The paper extends Ungerboeck´s derivation of the extended MLSE receiver for the purely frequency-selective channel to the more general channel with diversity. The new receiver structure and metric assume a known channel. The major contributions of this paper are as follows: (i) the derivation of a finite-complexity diversity receiver that is maximum likelihood (ML) for all linear channel models and sources of diversity; (ii) a benchmark, in that the new receiver´s performance is a lower bound on the performance of practical systems; (iii) insight into matched filtering and ML diversity receiver processing for the time- and frequency-selective channel; (iv) bounds on the new receiver´s BER for ideal channel state information (CSI), in a fast Rayleigh fading channel with multiple independently faded paths
Keywords :
Gaussian noise; Rayleigh channels; diversity reception; estimation theory; fading; matched filters; maximum likelihood detection; maximum likelihood estimation; radio receivers; time-varying channels; white noise; BER; CSI; Ungerboeck´s derivation; additive Gaussian noise; diversity receiver; extended MLSE receiver; fast Rayleigh fading channel; finite-complexity diversity receiver; frequency-selective channel; ideal channel state information; linear channel models; linear constellations; lower bound; matched filtering; maximum likelihood sequence estimation; multiple independently faded paths; time-selective channel; Additive noise; Bit error rate; Channel state information; Frequency diversity; Gaussian noise; Information filtering; Information filters; Matched filters; Maximum likelihood estimation; Nonlinear filters;
Conference_Titel :
Communications, 1996. ICC '96, Conference Record, Converging Technologies for Tomorrow's Applications. 1996 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
0-7803-3250-4
DOI :
10.1109/ICC.1996.541305