Bayesian Sparse Estimation of Radar Targets in the Compressed Sensing Framework
Book Chapter
(2017)
Author(s)
Stéphanie Bidon (Université de Toulouse)
Marie Lasserre (Université de Toulouse)
François Le Chevalier (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Research Group
Microwave Sensing, Signals & Systems
URL related publication
https://www.crcpress.com/Compressive-Sensing-of-Earth-Observations/Chen/p/book/9781498774376
To reference this document use
https://resolver.tudelft.nl/uuid:5e9991cc-f1c3-46dd-bebb-febc622319f6
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Publication Year
2017
Language
English
Research Group
Microwave Sensing, Signals & Systems
Pages (from-to)
153 -176
ISBN (print)
9781498774376
Downloads counter
162
Abstract
Pulse-Doppler radars classically transmit a train of pulses with a narrow bandwidth at a constant pulse repetition frequency (PRF) to detect moving targets. By design, they are subject to the well-known problem of range and/or velocity ambiguities. Indeed, the ambiguous velocity v a and range ambiguity R a are linked through