Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2846
Title: Knowledge-aided Adaptive Detection with Multipath Exploitation Radar
Authors: Kumbul, Utku
Hayvacı, Harun Taha
Keywords: Clutter (information theory)
radar clutter
clutter covariance
Issue Date: 2016
Publisher: IEEE
Source: Kumbul, U., and Hayvaci, H. T. (2016, September). Knowledge-aided adaptive detection with multipath exploitation radar. In 2016 Sensor Signal Processing for Defence (SSPD) (pp. 1-4). IEEE.
Abstract: The adaptive detection of point-like targets in the presence of multipath is considered in this article. Target return signal is modeled as the sum of direct path return and reflected path return signals under the assumption of a zero-mean complex circular Gaussian noise with an unknown covariance matrix. A new approach to exploit multipath returns in target detection with an adaptive regime is studied. The novelty of this approach is that the multipath returns are exploited with a priori knowledge of the reflecting environment, so that we have the knowledge of the reflected steering vector for a known actual direct path steering vector. As a case study, we analyze a radar-target scenario over a flat conducting surface.
URI: https://hdl.handle.net/20.500.11851/2846
https://ieeexplore.ieee.org/document/7590605
ISBN: 978-1-5090-0326-6
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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