Channel tracking for D-BLAST for airborne platforms

Kapil Borle, Biao Chen, M. J. Gans

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

Abstract

Coherent symbol detection requires knowledge of channel state information. The traditional use of embedding pilot symbols with payload data may not be easy to justify if channel variation is fast and/or the data rate requirement is high. We consider the implementation of the D-BLAST algorithm for airborne platforms and develop channel tracking schemes that eliminate or reduce the use of pilot symbols. In a normal operation mode, channel update is achieved dynamically as each layer of the D-Blast, encoded using an LDPC code, is decoded. We find the optimal symbol length to estimate a SISO channel under the Rayleigh channel model and then generalize it to the MIMO case. To ensure that the transceiver can detect outage due to the loss of channel state, an adaptive algorithm is devised utilizing the extremal property of the terminating likelihood ratio of an LDPC decoder.

Original languageEnglish (US)
Title of host publicationConference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Pages1283-1287
Number of pages5
DOIs
StatePublished - Dec 1 2011
Event45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States
Duration: Nov 6 2011Nov 9 2011

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
CountryUnited States
CityPacific Grove, CA
Period11/6/1111/9/11

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Borle, K., Chen, B., & Gans, M. J. (2011). Channel tracking for D-BLAST for airborne platforms. In Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 (pp. 1283-1287). [6190223] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2011.6190223