Beyond the Kalman filter : particle filters for tracking applications

Author(s)

Bibliographic Information

Beyond the Kalman filter : particle filters for tracking applications

Branko Ristic, Sanjeev Arulampalam, Neil Gordon

(The Artech House radar library)

Artech House, c2004

Available at  / 35 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

With this hands-on guide, you can develop more accurate and reliable nonlinear filter designs and more precisely predict the performance of these designs. You can also apply particle filters to tracking a ballistic object, detection and tracking of stealthy targets, tracking through the blind Doppler zone, bi-static radar tracking, passive ranging (bearings-only tracking) of manoeuvering targets, range-only tracking, terrain-aided tracking of ground vehicles, and group and extended object tracking.

Table of Contents

  • Part I Theoretical concepts: introduction
  • suboptimal nonlinear filters
  • a tutorial on particle filters
  • Cramer-Rao bounds for nonlinear filtering. Part II Tracking applications: tracking a ballistic object
  • bearings-only tracking
  • range-only tracking
  • bistatic radar tracking
  • tracking targets through blind Doppler
  • terrain aided tracking
  • detection and tracking of stealthy targets
  • group and extended object tracking.

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