Blind Symbol Rate and Frequency Offset Estimation for PCMA Signals via Cyclic Correlations

Feder A, Wicke W, Hirschbeck M, Gerstacker W (2020)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Conference Proceedings Title: Proceedings of the 2020 IEEE Global Communications Conference (GLOBECOM)

Event location: Taipei, Taiwan / Virtual TW

DOI: 10.1109/globecom42002.2020.9348196

Abstract

Many blind detection algorithms for paired carrier multiple access (PCMA) signals in satellite communications require information about the signal and channel parameters. A blind receiver needs to obtain knowledge of at least some of these prior to the symbol detection process. In this paper, schemes for the blind estimation of the symbol rates and carrier frequencies of the two overlapping co-channel signals in PCMA are proposed. The methods exploit the cyclic statistics of the PCMA signal for the estimation of the desired parameters. Effects of the mutual interference of the carriers in the estimation process are analyzed and the performance of the proposed methods is evaluated via numerical simulations.

Authors with CRIS profile

Andreas Feder Lehrstuhl für Digitale Übertragung Wayan Wicke Lehrstuhl für Digitale Übertragung Wolfgang Gerstacker Lehrstuhl für Digitale Übertragung

Involved external institutions

Innovationszentrum für Telekommunikationstechnik GmbH IZT DE Germany (DE)

How to cite

APA:

Feder, A., Wicke, W., Hirschbeck, M., & Gerstacker, W. (2020). Blind Symbol Rate and Frequency Offset Estimation for PCMA Signals via Cyclic Correlations. In Proceedings of the 2020 IEEE Global Communications Conference (GLOBECOM). Taipei, Taiwan / Virtual, TW.

MLA:

Feder, Andreas, et al. "Blind Symbol Rate and Frequency Offset Estimation for PCMA Signals via Cyclic Correlations." Proceedings of the 2020 IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan / Virtual 2020.

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