A fixed radio system using MIMO cancellation and equalization and its performance model

Haiping Wu; Sangwoo Lee; Mohsen Kavehrad

A fixed radio system using MIMO cancellation and equalization and its performance model

Haiping Wu
, Sangwoo Lee
, Mohsen Kavehrad

Materials Research Institute (MRI)

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

A theory of equalization and cancellation in digital data transmission over a MIMO multipath fading channel is presented. The theory extends the classic equalization and cancellation theory into matrix forms to mitigate Intersymbol Interference (ISI) and Cross-Polarization Interference (CPI) by means of minimizing the overall mean-square error (MSE). We evaluate the performance of several configurations for a sample propagation model with several snapshots of fading events in computer simulations. Both MSE and average error probability are evaluated and compared. We find that the decision feedback structure demonstrates a better performance than the linear equalizer structure. Furthermore, less amount of MSE can be translated into smaller error probability values only in cases of relatively large signal-to-noise ratios.

Original language	English (US)
Pages	1726-1731
Number of pages	6
State	Published - Dec 1 2004
Event	2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004 - Barcelona, Spain Duration: Sep 5 2004 → Sep 8 2004

Other

Other	2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004
Country/Territory	Spain
City	Barcelona
Period	9/5/04 → 9/8/04

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Cite this

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abstract = "A theory of equalization and cancellation in digital data transmission over a MIMO multipath fading channel is presented. The theory extends the classic equalization and cancellation theory into matrix forms to mitigate Intersymbol Interference (ISI) and Cross-Polarization Interference (CPI) by means of minimizing the overall mean-square error (MSE). We evaluate the performance of several configurations for a sample propagation model with several snapshots of fading events in computer simulations. Both MSE and average error probability are evaluated and compared. We find that the decision feedback structure demonstrates a better performance than the linear equalizer structure. Furthermore, less amount of MSE can be translated into smaller error probability values only in cases of relatively large signal-to-noise ratios.",

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AU - Lee, Sangwoo

AU - Kavehrad, Mohsen

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N2 - A theory of equalization and cancellation in digital data transmission over a MIMO multipath fading channel is presented. The theory extends the classic equalization and cancellation theory into matrix forms to mitigate Intersymbol Interference (ISI) and Cross-Polarization Interference (CPI) by means of minimizing the overall mean-square error (MSE). We evaluate the performance of several configurations for a sample propagation model with several snapshots of fading events in computer simulations. Both MSE and average error probability are evaluated and compared. We find that the decision feedback structure demonstrates a better performance than the linear equalizer structure. Furthermore, less amount of MSE can be translated into smaller error probability values only in cases of relatively large signal-to-noise ratios.

AB - A theory of equalization and cancellation in digital data transmission over a MIMO multipath fading channel is presented. The theory extends the classic equalization and cancellation theory into matrix forms to mitigate Intersymbol Interference (ISI) and Cross-Polarization Interference (CPI) by means of minimizing the overall mean-square error (MSE). We evaluate the performance of several configurations for a sample propagation model with several snapshots of fading events in computer simulations. Both MSE and average error probability are evaluated and compared. We find that the decision feedback structure demonstrates a better performance than the linear equalizer structure. Furthermore, less amount of MSE can be translated into smaller error probability values only in cases of relatively large signal-to-noise ratios.

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UR - https://www.scopus.com/pages/publications/11244319753#tab=citedBy

M3 - Paper

AN - SCOPUS:11244319753

SP - 1726

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T2 - 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004

Y2 - 5 September 2004 through 8 September 2004

ER -

A fixed radio system using MIMO cancellation and equalization and its performance model

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All Science Journal Classification (ASJC) codes

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