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  • Research Article
  • Open Access

Application of Evolution Strategies to the Design of Tracking Filters with a Large Number of Specifications

  • 1Email author,
  • 2,
  • 3,
  • 3,
  • 2 and
  • 2
EURASIP Journal on Advances in Signal Processing20032003:689693

https://doi.org/10.1155/S1110865703302057

  • Received: 28 June 2002
  • Published:

Abstract

This paper describes the application of evolution strategies to the design of interacting multiple model (IMM) tracking filters in order to fulfill a large table of performance specifications. These specifications define the desired filter performance in a thorough set of selected test scenarios, for different figures of merit and input conditions, imposing hundreds of performance goals. The design problem is stated as a numeric search in the filter parameters space to attain all specifications or at least minimize, in a compromise, the excess over some specifications as much as possible, applying global optimization techniques coming from evolutionary computation field. Besides, a new methodology is proposed to integrate specifications in a fitness function able to effectively guide the search to suitable solutions. The method has been applied to the design of an IMM tracker for a real-world civil air traffic control application: the accomplishment of specifications defined for the future European ARTAS system.

Keywords

  • evolution strategies
  • radar tracking filters
  • multicriteria optimization

Authors’ Affiliations

(1)
Departamento de Informática, Escuela Politécnica Superior (EPS), Universidad Carlos III de Madrid, Leganés, Madrid, 28911, Spain
(2)
Departamento de Señales, Sistemas y Radiocomunicaciones, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, 28040, Spain
(3)
Departamento de Informática, EPS, Universidad Carlos III de Madrid, Leganés, Madrid, 28911, Spain

Copyright

© Copyright © 2003 Hindawi Publishing Corporation 2003

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