Robust Pareto-Optimal Radar Receive Filter Design for Noise and Sidelobe Suppression

Conference Paper (2023)
Author(s)

Costas A. Kokke (TU Delft - Signal Processing Systems)

Mario Coutiño (TNO)

R. Heusdens (Netherlands Defence Academy)

GJT Leus (TU Delft - Signal Processing Systems)

L Anitori (TNO)

Research Group
Signal Processing Systems
Copyright
© 2023 C.A. Kokke, Mario Coutiño, R. Heusdens, G.J.T. Leus, Laura Anitori
DOI related publication
https://doi.org/10.23919/EUSIPCO58844.2023.10290001
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 C.A. Kokke, Mario Coutiño, R. Heusdens, G.J.T. Leus, Laura Anitori
Research Group
Signal Processing Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
1589-1593
ISBN (print)
979-8-3503-2811-0
ISBN (electronic)
978-9-4645-9360-0
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Integrated sidelobe level is a useful measure to quantify robustness of a waveform-filter pair to unknown range clutter and multiple closely located targets. Sidelobe suppression on receive will incur a loss in the signal to noise ratio after pulse compression. We derive a pulse compression filter that has the greatest integrated sidelobe suppression possible for a given acceptable signal to noise ratio loss. The solution is given in a closed form, which can be adjusted using a single parameter to chose between greater sidelobe or interference and noise suppression. We verify the derived filter using simulations, comparing it to other proposed mismatched filter designs. To expand the robustness of the filter, we additionally investigate noise uncertainty robustness. We derive two robustness measures for noise uncertainty and analyze the performance through simulation.

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