Error analysis in particle filter-based estimation of symbols transmitted over a time varying frequency flat fading channel

  • Authors:
  • Sumakanth S. Kambhampati;K. R. Namuduri;Athanasios V. Vasilakos

  • Affiliations:
  • Department of Electrical and Computer Engineering, Wichita State University, Wichita, KS 67260, USA.;Department of Electrical and Computer Engineering, Wichita State University, Wichita, KS 67260, USA.;Department of Computer and Tele communications Engineering, University of Western Macedonia, Parko Agiou Dimitriou, GR 50100 Kozani, Greece

  • Venue:
  • International Journal of Autonomous and Adaptive Communications Systems
  • Year:
  • 2008

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Abstract

This article investigates particle filtering-based estimation of symbols transmitted over a time varying frequency flat fading channel with known autoregressive parameters. We introduce a metric that quantifies the error between the true and approximate posterior density functions and derive an upper bound for this metric.