Nonlinear Estimation for Ultra-Wideband Radar Based on Bayesian Particle Filtering Detector

  • Mengwei Sun
  • Bin Li
  • Chenglin Zhao
  • Yun Liu
  • Zhou Li
Conference paper
First Online:
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 202)

Abstract

In order to combat the nonlinearity of the radio component in UWB radar systems, in this paper we present a promising blind estimation algorithm based on the particle filtering (PF). Based on the conception of Bayesian approximation and sequential importance sampling, this appealing Monte-Carlo method can deal with many complicated statistic estimation problems. In sharp contrast to the classical linear equalization problem, nevertheless, in this considered problem the PF based method may become valid due to the nonlinearity and the resulting non-analytic importance function. Thus, a novel PF framework based on the linearization technique is suggested, and we show in particular how to linearize the involved nonlinearity transform. The merit of this method is that it can deal with discrete time dynamic models that are typically nonlinear and non-Gaussian. Experimental simulations demonstrate the superior performance of the presented PF scheme, which may be properly applied to UWB radar systems.

Keywords

UWB radars Nonlinearity Particle filtering Taylor series Linearization technique 
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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Mengwei Sun
    • 1
  • Bin Li
    • 2
  • Chenglin Zhao
    • 3
  • Yun Liu
    • 4
  • Zhou Li
    • 5
  1. 1.Key Lab of Universal Wireless Communications, MOE Wireless Network LabBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Key Laboratory of Universal Wireless Communications, Ministry of EducationUniversity of Posts and TelecommunicationsBeijingChina
  3. 3.School of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijingChina
  4. 4.China Academy of Telecommunications ResearchMinistry of Industry and Information Technology Telecommunication Metrology Center, CATR, MIITBeijingChina
  5. 5.China Academy of Telecommunications ResearchBeijingChina

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