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

Haiping Wu, Sangwoo Lee, Mohsen Kavehrad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish (US)
Title of host publication2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004
Pages1726-1731
Number of pages6
Volume3
StatePublished - 2004
Event2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004 - Barcelona, Spain
Duration: Sep 5 2004Sep 8 2004

Other

Other2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004
CountrySpain
CityBarcelona
Period9/5/049/8/04

Fingerprint

Radio systems
MIMO systems
Mean square error
Intersymbol interference
Multipath fading
Equalizers
Fading channels
Data communication systems
Signal to noise ratio
Polarization
Feedback
Computer simulation
Error probability

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Wu, H., Lee, S., & Kavehrad, M. (2004). A fixed radio system using MIMO cancellation and equalization and its performance model. In 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004 (Vol. 3, pp. 1726-1731)
Wu, Haiping ; Lee, Sangwoo ; Kavehrad, Mohsen. / A fixed radio system using MIMO cancellation and equalization and its performance model. 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004. Vol. 3 2004. pp. 1726-1731
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Wu, H, Lee, S & Kavehrad, M 2004, A fixed radio system using MIMO cancellation and equalization and its performance model. in 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004. vol. 3, pp. 1726-1731, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004, Barcelona, Spain, 9/5/04.

A fixed radio system using MIMO cancellation and equalization and its performance model. / Wu, Haiping; Lee, Sangwoo; Kavehrad, Mohsen.

2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004. Vol. 3 2004. p. 1726-1731.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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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Wu H, Lee S, Kavehrad M. A fixed radio system using MIMO cancellation and equalization and its performance model. In 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004. Vol. 3. 2004. p. 1726-1731