Optimal array combiner for sequence detectors
Miguel Angel Lagunas,Ana I. Perez-Neira,Josep Vidal +2 more
- 12 May 1998
- Vol. 6, pp 3341-3344
TL;DR: This work presents a procedure that, starting from the matched criteria, faces directly the maximization of the effective signal to noise ratio, yet preserving all the features of the spatial processor in terms of co-channel and high order intersymbol interference rejection.
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Abstract: The use of spatial diversity at the receiver front-end together with a sequence detector implies a joint design problem of the spatial combiner and the sequence detector impulse response. This joint design is usually faced under the constraint that the impulse response of the sequence detector is matched to the channel plus combiner response. This procedure maximizes the signal to noise ratio at the input of the detector but does not guarantee that the so-called effective signal to noise ratio is maximized. This work presents a procedure that, starting from the matched criteria, faces directly the maximization of the effective signal to noise ratio, yet preserving all the features of the spatial processor in terms of co-channel and high order intersymbol interference rejection.
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Citations
Finite-length MIMO equalization using canonical correlation analysis
TL;DR: This work proposes finite-length multi-input multi-output (MIMO) equalization methods for "smart" antenna arrays using the statistical theory of canonical correlations and shows that the proposed methods are related to maximum likelihood reduced-rank channel and noise estimation algorithms in unknown spatially correlated noise.
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Space-time receiver for filterbank based multicarrier systems
Marius Caus,Ana I. Perez-Neira +1 more
- 29 Apr 2010
TL;DR: Simulations show that in presence of large delay spreads the proposed scheme outperforms orthogonal frequency division multiplexing (OFDM) systems in terms of bit error rate (BER).
9
Space-time processing for co-channel interference rejection and channel estimation in GSM/DCS systems
S. Fanfoni,D. Giancola,U. Girola,S. Parolari,A. Picciriello,Umberto Spagnolini +5 more
- 29 Sep 1998
TL;DR: In this paper, a space-time algorithm for co-channel interference (CCI) and intersymbol interference reduction for GSM/DCS systems is proposed, where the temporal channel for the Viterbi receiver and the beam-former weights for CCI rejection are jointly estimated by optimizing a suitable cost function for low-rank space time channels.
9
Spacetime processing for time varying co-channel interference rejection and channel estimation in GSM/DCS systems
D. Giancola,U. Girola,Sergio Parolari,A. Picciriello,Umberto Spagnolini,D. Vincenzoni +5 more
- 16 May 1999
TL;DR: In this paper, a spacetime algorithm for co-channel interference (CCI) and intersymbol interference (ISI) reduction for GSM/DCS systems is proposed, where the temporal channel for the Viterbi receiver and the beam-former weights for CCI rejection are jointly estimated by optimizing a suitable cost function for separable (or rank-one) space-time channels.
7
Adaptive beamforming for high bit rate services in the FDD mode of UTRA
Xavier Mestre,Montse Najar,C. Anton,Javier R. Fonollosa +3 more
- 01 Jan 1999
TL;DR: A semi-blind beamforming technique is proposed as a valid solution to overcome the beampattern distortion effects when applied to high bit rate services in WCDMA, and is designed to operate in an iterative fashion.
References
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Mobile Radio Communications
Raymond Steele
- 14 May 1999
TL;DR: Mobile Radio Communications, Second Edition as discussed by the authors is a reference work for second and third-generation mobile radio communications that provides a comprehensive overview of the current state-of-the-art.
1K
Adaptive channel memory truncation for maximum likelihood sequence estimation
D. D. Falconer,F. R. Magee +1 more
TL;DR: This work proposes a linear prefilter to force the overall impulse response of the channel/prefilter combination to approximate a desired truncated impulse response (DIR) of acceptably short duration and shows that the minimum mean-square error can be expressed as the minimum eigenvalue of a certain channel-dependent matrix, and that the corresponding eigenvector represents the optimum DIR.
436
The Choice of the Desired Impulse Response in Combined Linear-Viterbi Algorithm Equalizers
TL;DR: This paper looks at three techniques for choosing a DIR, choosing the DIR by truncation, minimum mean square error and matching the power spectrum to that of the original channel.
89
Joint spatial and temporal equalization for channels with ISI and CCI-theoretical and experimental results for a base station reception
Francois Pipon,Pascal Chevalier,Pierre Vila,J.-J. Monot +3 more
- 16 Apr 1997
TL;DR: A new multichannel receiver is presented, aiming at jointly mitigating the ISI and CCI from the knowledge of a training sequence, and is shown to be easy to implement, powerful, to have a low complexity and to convergence quickly.
39
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