ORCID Profile
0000-0001-8752-6440
Current Organisations
Myriota
,
University of South Australia
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Signal Processing | Communications Technologies | Satellite Communications | Data Format | Wireless Communications | Antennas and Propagation | Broadband and Modem Technology | Coding and Information Theory
Satellite Communication Networks and Services | Management of Water Consumption by Information and Communication Services | Mobile Data Networks and Services | Voice and Data Equipment | Air Safety | Water Safety |
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2013
Publisher: American Institute of Aeronautics and Astronautics
Date: 03-09-2015
DOI: 10.2514/6.2015-4350
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Publisher: Wiley
Date: 05-11-2015
DOI: 10.1002/ETT.2998
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2011
Publisher: IEEE
Date: 02-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: IEEE
Date: 2016
Publisher: IEEE
Date: 2012
Publisher: IEEE
Date: 09-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2011
Publisher: IEEE
Date: 02-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
Publisher: IEEE
Date: 11-2014
Publisher: IEEE
Date: 02-2014
Publisher: Institution of Engineering and Technology (IET)
Date: 11-2016
Publisher: IEEE
Date: 04-2014
Publisher: IEEE
Date: 06-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2013
Publisher: Springer Science and Business Media LLC
Date: 08-09-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Publisher: Institution of Engineering and Technology (IET)
Date: 11-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2012
Publisher: IEEE
Date: 03-2012
Publisher: IEEE
Date: 03-2011
DOI: 10.1109/DCC.2011.70
Publisher: IEEE
Date: 2013
Publisher: IEEE
Date: 09-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Publisher: IEEE
Date: 09-2008
Publisher: IEEE
Date: 03-2011
DOI: 10.1109/DCC.2011.32
Publisher: IEEE
Date: 07-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2013
Publisher: Wiley
Date: 25-07-2022
DOI: 10.1002/SAT.1460
Abstract: This paper presents an algorithm for iterative joint channel parameter (carrier phase, Doppler shift, and Doppler rate) estimation and decoding of transmission over channels affected by Doppler shift and Doppler rate using a distributed receiver. This algorithm is derived by applying the sum‐product algorithm (SPA) to a factor graph representing the joint a posteriori distribution of the information symbols and channel parameters given the channel output. In this paper, we present two methods for dealing with intractable messages of the SPA. In the first approach, we use particle filtering with sequential importance s ling for the estimation of the unknown parameters. We also propose a method for fine‐tuning of particles for improved convergence. In the second approach, we approximate our model with a random walk phase model, followed by a phase tracking algorithm and polynomial regression algorithm to estimate the unknown parameters. We derive the Weighted Bayesian Cramer‐Rao Bounds for joint carrier phase, Doppler shift, and Doppler rate estimation, which take into account the prior distribution of the estimation parameters and are accurate lower bounds for all considered signal‐to‐noise ratio values. Numerical results (of bit error rate and the mean‐square error of parameter estimation) suggest that phase tracking with the random walk model slightly outperforms particle filtering. However, particle filtering has a lower computational cost than the random walk model‐based method.
Publisher: Institution of Engineering and Technology (IET)
Date: 11-2014
Publisher: IEEE
Date: 02-2010
Publisher: IEEE
Date: 06-2009
Publisher: IEEE
Date: 10-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: IEEE
Date: 2011
Publisher: IEEE
Date: 02-2014
Publisher: IEEE
Date: 10-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Start Date: 2015
End Date: 2016
Funder: Australian Research Council
View Funded ActivityStart Date: 2015
End Date: 2017
Funder: Australian Research Council
View Funded ActivityStart Date: 2014
End Date: 2017
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2016
End Date: 10-2018
Amount: $169,168.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2015
End Date: 12-2018
Amount: $355,100.00
Funder: Australian Research Council
View Funded ActivityStart Date: 10-2014
End Date: 07-2018
Amount: $340,074.00
Funder: Australian Research Council
View Funded Activity