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Optimization of search patterns for fixed-panel tridimensional scanning radars

Abstract : Modern radars are complex systems, capable of multiple functions: scanning, tracking, identification, etc. With the advent of electronic and digital technologies, radars can dynamically and freely sweep their surroundings using fixed-panels, freeing them from the limitations of mechanical rotation. With increasingly intelligent and adaptable systems competing in modern warfare in ever shorter time, careful management of the radar available time-budget is required to achieve desired performances and ensure civilian and military safety. In this context, optimization of radar search pattern time-budget must exploit modern radars full potential. This thesis main accomplishments are the mathematical modelling of radar search pattern optimization, the identification and development of appropriate tools for its solving, and the exploration of the model possibilities. Radar search pattern design can be related to covering problems in combinatorial optimization. Radar covering can be solved using methods based on dynamic programming and integer programming, and can furthermore be extended to account for more complex situations with multiple operational constraints. The tools developed in this thesis provide a powerful and flexible framework for solving radar covers problems. This framework opens interesting research avenues for improving radar performances. It offers various possible applications for aided-design of radar search patterns, simulation of new radar architectures performances, and development of cognitive radar systems capable of adapting in real time to the operational environment.
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Contributor : Yann Briheche <>
Submitted on : Sunday, March 25, 2018 - 11:25:23 PM
Last modification on : Thursday, February 27, 2020 - 1:09:31 AM
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  • HAL Id : tel-01709583, version 2


Yann Briheche. Optimization of search patterns for fixed-panel tridimensional scanning radars . Artificial Intelligence [cs.AI]. Ecole Centrale de Nantes (ECN), 2017. English. ⟨tel-01709583v2⟩



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