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Random Sets pp 165-183 | Cite as

Cramér—Rao Type Bounds for Random Set Problems

  • Fred E. Daum
Chapter
Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 97)

Abstract

Two lower bounds on the error covariance matrix are described for tracking in a dense multiple target environment. The first bound uses Bayesian theory and equivalence classes of random sets. The second bound, however, does not use random sets, but rather it is based on symmetric polynomials An interesting and previously unexplored connection between random sets and symmetric polynomials at an abstract level is suggested. Apparently, the shortest path between random sets and symmetric polynomials is through a Banach space.

Key words

Bounds on Performance Cramér—Rao Bound Estimation Fuzzy Logic Fuzzy Sets Multiple Target Tracking Nonlinear Filters Random Sets Symmetric Polynomials 

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Fred E. Daum
    • 1
  1. 1.Raytheon CompanyMarlboroughUSA

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