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arXiv · 2002.04906

Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns

Yann Briheche·Frédéric Barbaresco·Fouad Bennis·Damien Chablat
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Abstract

Electronic phased-array radars offer new possibilities for radar search pattern optimization by using bi-dimensional beam-forming and beam-steering. Radar search pattern optimization can be approximated as a set cover problem and solved using integer programming, while accounting for localized clutter and terrain masks in detection constraints. We present a set cover problem approximation for time-budget minimization of radar search patterns, under constraints of range, detection probability and direction-specific scan update rates. Branch\&Bound is a classical optimization procedure for solving combinatorial problems. It is known mainly as an exact algorithm, but features interesting characteristics, making it particularly fit for solving optimization problems in real-time applications and producing just-in-time solutions.

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Yann Briheche, Frédéric Barbaresco, Fouad Bennis, Damien Chablat. 2020-02-12. Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns. https://doi.org/10.1007/978-3-030-26458-1_25

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