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OPTIMIZED GAUSS AND CHOLESKY ALGORITHMS FOR USING THE LMMSE DECODER IN MIMO/BLAST SYSTEMS WITH FREQUENCY-SELECTIVE CHANNELS - Reduced-complexity Equalization

Topics: Channel Coding, Modulation and Multi-User Detection; Detection, Decoding and Diversity Techniques; Implementation Architectures; MIMO Systems and Techniques; Turbo Codes and Iterative Decoding

Authors: João Carlos Silva 1 ; Nuno Souto 1 ; Francisco Cercas 1 ; António Rodrigues 1 ; Rui Dinis 2 and Sérgio Jesus 2

Affiliations: 1 Instituto Superior Técnico/IT, Portugal ; 2 CAPS, Portugal

Keyword(s): MMSE Equalizer, Gauss, Cholesky, MIMO, W-CDMA.

Related Ontology Subjects/Areas/Topics: Channel Coding, Modulation and Multi-User Detection ; Detection, Decoding and Diversity Techniques ; MIMO Systems and Techniques ; Telecommunications ; Wireless and Mobile Technologies ; Wireless Information Networks and Systems

Abstract: The LMMSE (Linear Minimum Mean Square Error) algorithm is one of the best linear receivers for DS-CDMA (Direct Sequence-Code Division Multiple Access). However, for the case of MIMO/BLAST (Multiple Input, Multiple Output / Bell Laboratories Layered Space Time), the perceived complexity of the LMMSE receiver is taken as too big, and thus other types of receivers are employed, yielding worse results. In this paper, we investigate the complexity of the solution to the LMMSE and the Zero-Forcing (LMMSE without noise estimation) receiver’s equations. It will be shown that the equation can be solved with optimized Gauss or Cholesky algorithms. Some of those solutions are very computationally efficient and thus, allow for the usage of the LMMSE in fully-loaded MIMO systems.

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Paper citation in several formats:
Carlos Silva, J.; Souto, N.; Cercas, F.; Rodrigues, A.; Dinis, R. and Jesus, S. (2006). OPTIMIZED GAUSS AND CHOLESKY ALGORITHMS FOR USING THE LMMSE DECODER IN MIMO/BLAST SYSTEMS WITH FREQUENCY-SELECTIVE CHANNELS - Reduced-complexity Equalization. In Proceedings of the International Conference on Wireless Information Networks and Systems (ICETE 2006) - WINSYS; ISBN 978-972-8865-65-8, SciTePress, pages 200-208. DOI: 10.5220/0002087102000208

@conference{winsys06,
author={João {Carlos Silva}. and Nuno Souto. and Francisco Cercas. and António Rodrigues. and Rui Dinis. and Sérgio Jesus.},
title={OPTIMIZED GAUSS AND CHOLESKY ALGORITHMS FOR USING THE LMMSE DECODER IN MIMO/BLAST SYSTEMS WITH FREQUENCY-SELECTIVE CHANNELS - Reduced-complexity Equalization},
booktitle={Proceedings of the International Conference on Wireless Information Networks and Systems (ICETE 2006) - WINSYS},
year={2006},
pages={200-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002087102000208},
isbn={978-972-8865-65-8},
}

TY - CONF

JO - Proceedings of the International Conference on Wireless Information Networks and Systems (ICETE 2006) - WINSYS
TI - OPTIMIZED GAUSS AND CHOLESKY ALGORITHMS FOR USING THE LMMSE DECODER IN MIMO/BLAST SYSTEMS WITH FREQUENCY-SELECTIVE CHANNELS - Reduced-complexity Equalization
SN - 978-972-8865-65-8
AU - Carlos Silva, J.
AU - Souto, N.
AU - Cercas, F.
AU - Rodrigues, A.
AU - Dinis, R.
AU - Jesus, S.
PY - 2006
SP - 200
EP - 208
DO - 10.5220/0002087102000208
PB - SciTePress