Single-Pulse Estimation of Target Velocity on Planar Arrays

Conference Paper (2022)
Author(s)

Costas A. Kokke (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Mario Coutiño (TU Delft - Microwave Technology and Systems for Radar, DIANA FEA , TU Delft - Electrical Engineering, Mathematics and Computer Science)

Richard Heusdens (TU Delft - Electrical Engineering, Mathematics and Computer Science, Netherlands Defence Academy)

Geert Leus (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Laura Anitori (TU Delft - Microwave Technology and Systems for Radar, DIANA FEA , TU Delft - Civil Engineering & Geosciences)

Research Group
Signal Processing Systems
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Publication Year
2022
Language
English
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.
Pages (from-to)
1811-1815
Publisher
European Signal Processing Conference, EUSIPCO
ISBN (electronic)
9789082797091
Event
30th European Signal Processing Conference, EUSIPCO 2022 (2022-08-29 - 2022-09-02), Belgrade, Serbia
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Abstract

Doppler velocity estimation in pulse-Doppler radar is done by evaluating the target returns of bursts of pulses. While this provides convenience and accuracy, it requires multiple pulses. In adaptive and cognitive radar systems, the ability to adapt on consecutive pulses, instead of bursts, brings potential performance benefits. Hence, with radar transceiver arrays growing increasingly larger in their number of elements over the years, it may be time to re-evaluate how Doppler velocity can be estimated when using large planar arrays. In this work, we present variance bounds on the estimation of velocity using the Doppler shift as it appears in the array model. We also propose an efficient method of performing the velocity estimation and we verify its performance using Monte Carlo simulations.

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