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Bibliographic Details
Main Authors: Briheche, Yann, Barbaresco, Frédéric, Bennis, Fouad, Chablat, Damien
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2508.02081
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author Briheche, Yann
Barbaresco, Frédéric
Bennis, Fouad
Chablat, Damien
author_facet Briheche, Yann
Barbaresco, Frédéric
Bennis, Fouad
Chablat, Damien
contents Electronic Phased-Array Radars offer new possibilities for Optimization of Radar Search Pattern by using bi-dimensional beam forming and beam steering, along both elevation and azimuth axes. The minimization of the Time-Budget required for multiple Radar scanning missions in localized clutter, under constraints of range and detection probability, can be approximated as a Set Cover Problem. We present a Set Cover Problem approximation for Time-Budget minimization of the Radar Search Pattern, and solved this optimization problem using Integer Programming methods based on Branch\&Bound and linear relaxation.
format Preprint
id arxiv_https___arxiv_org_abs_2508_02081
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimization of Radar Search Patterns for Multiple Scanning Missions in Localized Clutter
Briheche, Yann
Barbaresco, Frédéric
Bennis, Fouad
Chablat, Damien
Optimization and Control
Electronic Phased-Array Radars offer new possibilities for Optimization of Radar Search Pattern by using bi-dimensional beam forming and beam steering, along both elevation and azimuth axes. The minimization of the Time-Budget required for multiple Radar scanning missions in localized clutter, under constraints of range and detection probability, can be approximated as a Set Cover Problem. We present a Set Cover Problem approximation for Time-Budget minimization of the Radar Search Pattern, and solved this optimization problem using Integer Programming methods based on Branch\&Bound and linear relaxation.
title Optimization of Radar Search Patterns for Multiple Scanning Missions in Localized Clutter
topic Optimization and Control
url https://arxiv.org/abs/2508.02081