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Target detection in bistatic radar sea clutter using stationary wavelet transforms

Duk, V; Rosenberg, L; Ng, B; Ritchie, M; Palama, R; Griffiths, H; (2018) Target detection in bistatic radar sea clutter using stationary wavelet transforms. In: International Conference on Radar Systems (Radar 2017). IET Green open access

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Abstract

Radar backscatter from the sea-surface is typically non-stationary and may contain sea-spikes which resemble targets and can cause false detections in a radar system. To improve detection performance, this paper investigates a technique based on stationary wavelet transforms (SWT) and demonstrates its performance on both monostatic and bistatic sea-clutter data. By exploiting the different components (sub-bands) of the SWT decomposition, this technique can better distinguish between the different spectral components of the returned signal. The detection performance is measured by Monte Carlo simulation with a cell averaging constant false alarm rate (CA-CFAR) detector. The most appropriate choice of sub-band is selected using an a entropy based metric.

Type: Proceedings paper
Title: Target detection in bistatic radar sea clutter using stationary wavelet transforms
Event: International Conference on Radar Systems (Radar 2017)
ISBN-13: 978-1-78561-673-0
Open access status: An open access version is available from UCL Discovery
DOI: 10.1049/cp.2017.0498
Publisher version: https://doi.org/10.1049/cp.2017.0498
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Sea clutter, bistatic radar, detection, wavelets
URI: http://discovery.ucl.ac.uk/id/eprint/10051759
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