Adaptive, iterative, reduced-rank equalization for MIMO channels

Yakun Sun*, Michael L Honig, Vinayak Tripathi

*Corresponding author for this work

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

We present an adaptive iterative (turbo) Decision-Feedback Equalizer (DFE) for Multi-Input Multi-Output (MIMO) channels with Intersymbol Interference (ISI) and multiple receiver antennas. After initial training, the filters are computed directly from the received data and soft outputs of the MAP decoder according to a Least Squares (LS) cost criterion. The performance is compared with reduced-rank LS estimation methods, based on the Multi-stage Wiener Filter (MSWF). Numerical results show that the reduced-rank turbo DFE provides a substantial performance improvement relative to the full-rank turbo DFE with limited training. In addition, the reduced-rank filters can significantly reduce the computational complexity when the number of filter coefficients is large.

Original languageEnglish (US)
Pages1029-1033
Number of pages5
StatePublished - Dec 1 2002
Event2002 MILCOM Proceedings; Global Information GRID - Enabling Transformation Through 21st Century Communications - Anaheim, CA, United States
Duration: Oct 7 2002Oct 10 2002

Other

Other2002 MILCOM Proceedings; Global Information GRID - Enabling Transformation Through 21st Century Communications
CountryUnited States
CityAnaheim, CA
Period10/7/0210/10/02

Fingerprint

Decision feedback equalizers
Intersymbol interference
Computational complexity
Antennas
Costs

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Sun, Y., Honig, M. L., & Tripathi, V. (2002). Adaptive, iterative, reduced-rank equalization for MIMO channels. 1029-1033. Paper presented at 2002 MILCOM Proceedings; Global Information GRID - Enabling Transformation Through 21st Century Communications, Anaheim, CA, United States.
Sun, Yakun ; Honig, Michael L ; Tripathi, Vinayak. / Adaptive, iterative, reduced-rank equalization for MIMO channels. Paper presented at 2002 MILCOM Proceedings; Global Information GRID - Enabling Transformation Through 21st Century Communications, Anaheim, CA, United States.5 p.
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Sun, Y, Honig, ML & Tripathi, V 2002, 'Adaptive, iterative, reduced-rank equalization for MIMO channels' Paper presented at 2002 MILCOM Proceedings; Global Information GRID - Enabling Transformation Through 21st Century Communications, Anaheim, CA, United States, 10/7/02 - 10/10/02, pp. 1029-1033.

Adaptive, iterative, reduced-rank equalization for MIMO channels. / Sun, Yakun; Honig, Michael L; Tripathi, Vinayak.

2002. 1029-1033 Paper presented at 2002 MILCOM Proceedings; Global Information GRID - Enabling Transformation Through 21st Century Communications, Anaheim, CA, United States.

Research output: Contribution to conferencePaper

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AB - We present an adaptive iterative (turbo) Decision-Feedback Equalizer (DFE) for Multi-Input Multi-Output (MIMO) channels with Intersymbol Interference (ISI) and multiple receiver antennas. After initial training, the filters are computed directly from the received data and soft outputs of the MAP decoder according to a Least Squares (LS) cost criterion. The performance is compared with reduced-rank LS estimation methods, based on the Multi-stage Wiener Filter (MSWF). Numerical results show that the reduced-rank turbo DFE provides a substantial performance improvement relative to the full-rank turbo DFE with limited training. In addition, the reduced-rank filters can significantly reduce the computational complexity when the number of filter coefficients is large.

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Sun Y, Honig ML, Tripathi V. Adaptive, iterative, reduced-rank equalization for MIMO channels. 2002. Paper presented at 2002 MILCOM Proceedings; Global Information GRID - Enabling Transformation Through 21st Century Communications, Anaheim, CA, United States.