CROSS-POLARIZATION CANCELLATION AND EQUALIZATION IN DIGITAL TRANSMISSION OVER DUALLY POLARIZED MULTIPATH FADING CHANNELS.

M. Kavehrad, J. Salz

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

Abstract

Summary form only given. A theory for data-aided equalization and cancellation in digital data transmission over dually polarized fading radio cahnnels is presented. The present theory generalizes and extends previous work by admitting decision-feedback structures with finite-tap transversal filter implementations. Subject to the assumption that some past and/or future data symbols are correctly detected, formulas and algorithms for evaluating the least mean-square error for different structures are presented. However, these nonlinear techniques can suffer from error propagation, and further work must be done to assess the degree of this penalty. Some experience with these systems in voiceband data transmission indicates that error propagation is not an insurmountable problem and can be essentially disregarded when the precancellation error rate is equal to or better than 10** minus **2. In the present application, the inclusion of this effect in the analysis was found to be mathematically intractable.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages46
Number of pages1
StatePublished - 1986

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Multipath fading
Fading channels
Polarization
Data communication systems
Transversal filters
Fading (radio)
Mean square error
Feedback

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Kavehrad, M., & Salz, J. (1986). CROSS-POLARIZATION CANCELLATION AND EQUALIZATION IN DIGITAL TRANSMISSION OVER DUALLY POLARIZED MULTIPATH FADING CHANNELS. In Unknown Host Publication Title (pp. 46). IEEE.
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CROSS-POLARIZATION CANCELLATION AND EQUALIZATION IN DIGITAL TRANSMISSION OVER DUALLY POLARIZED MULTIPATH FADING CHANNELS. / Kavehrad, M.; Salz, J.

Unknown Host Publication Title. IEEE, 1986. p. 46.

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

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N2 - Summary form only given. A theory for data-aided equalization and cancellation in digital data transmission over dually polarized fading radio cahnnels is presented. The present theory generalizes and extends previous work by admitting decision-feedback structures with finite-tap transversal filter implementations. Subject to the assumption that some past and/or future data symbols are correctly detected, formulas and algorithms for evaluating the least mean-square error for different structures are presented. However, these nonlinear techniques can suffer from error propagation, and further work must be done to assess the degree of this penalty. Some experience with these systems in voiceband data transmission indicates that error propagation is not an insurmountable problem and can be essentially disregarded when the precancellation error rate is equal to or better than 10** minus **2. In the present application, the inclusion of this effect in the analysis was found to be mathematically intractable.

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