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  • Research Article
  • Open Access

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

  • Jesús García Herrero1Email author,
  • Juan A. Besada Portas2,
  • Antonio Berlanga de Jesús3,
  • José M. Molina López3,
  • Gonzalo de Miguel Vela2 and
  • José R. Casar Corredera2
EURASIP Journal on Advances in Signal Processing20032003:689693

Received: 28 June 2002

Published: 21 July 2003


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.


evolution strategiesradar tracking filtersmulticriteria optimization

Authors’ Affiliations

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


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