- Titel
- Capacity of Communications Channels with 1-Bit Quantization and Oversampling at the Receiver
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-101462
- Quellenangabe
- 35th IEEE Sarnoff Symposium (SARNOFF), 21-22 May 2012, Newark, USA, 2012, S. 1-7, ISBN: 9781467314657
- Erstveröffentlichung
- 2012
- Abstract (EN)
- Communications receivers that rely on 1-bit analogto-digital conversion are advantageous in terms of hardware complexity and power dissipation. Performance limitations due to the 1-bit quantization can be tackled with oversampling. This paper considers the oversampling gain from an information-theoretic perspective by analyzing the channel capacity with 1-bit quantization and oversampling at the receiver for the particular case of AWGN channels. This includes a numerical computation of the capacity and optimal transmit symbol constellations, as well as the derivation of closed-form expressions for large oversampling ratios and for high signal-to-noise ratios of the channel.
- Andere Ausgabe
- DOI: 10.1109/SARNOF.2012.6222713
- Abstract und Metadaten zum Beitrag, der zuerst im Konferenzband Proceedings of the IEEE Sarnoff Symposium (Sarnoff`12) bei IEEE erschienen ist
Link: http://dx.doi.org/10.1109/SARNOF.2012.6222713 - Freie Schlagwörter (DE)
- Quantisierung , Receiver, Überabtastung, AWGN-Kanäle, Sonderforschungsbereich 912, Highly Adaptive Energy-efficient computing, Hochadaptive Energieeffiziente Systeme, HAEC
- Freie Schlagwörter (EN)
- Quantization, Receivers, Oversampling, AWGN channels, Collaborative Research Centre 912, Highly Adaptive Energy-efficient computing
- Klassifikation (DDC)
- 620, 621.3
- Klassifikation (RVK)
- ZN 6100
- Publizierende Institution
- Technische Universität Dresden, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa-101462
- Veröffentlichungsdatum Qucosa
- 25.01.2013
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
