Range sidelobe suppression technique for coherent ultra wide-band random noise radar imaging

Xiaojian Xu; Ram M. Narayanan

doi:10.1109/8.982467

Range sidelobe suppression technique for coherent ultra wide-band random noise radar imaging

Xiaojian Xu, Ram M. Narayanan

Research output: Contribution to journal › Article › peer-review

72 Scopus citations

Abstract

When applied in airborne imaging surveillance, ultra wide-band (UWB) random noise radars have their special merits. Because of the randomness and the ultrawide bandwidth of the transmit and receive signals, such radars can be used for covert detection and identification, and are immune from hostile detection and jamming while preserving very high range resolution. However, the images are plagued with artifacts caused by high range sidelobes. In this paper, a new technique for the range sidelobe suppression of UWB random noise radar, which combines median and apodization filtering, is proposed. Computational and experimental results show the effectiveness of this image enhancement procedure.

Original language	English (US)
Pages (from-to)	1836-1842
Number of pages	7
Journal	IEEE Transactions on Antennas and Propagation
Volume	49
Issue number	12
DOIs	https://doi.org/10.1109/8.982467
State	Published - Dec 2001

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/8.982467

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title = "Range sidelobe suppression technique for coherent ultra wide-band random noise radar imaging",

abstract = "When applied in airborne imaging surveillance, ultra wide-band (UWB) random noise radars have their special merits. Because of the randomness and the ultrawide bandwidth of the transmit and receive signals, such radars can be used for covert detection and identification, and are immune from hostile detection and jamming while preserving very high range resolution. However, the images are plagued with artifacts caused by high range sidelobes. In this paper, a new technique for the range sidelobe suppression of UWB random noise radar, which combines median and apodization filtering, is proposed. Computational and experimental results show the effectiveness of this image enhancement procedure.",

author = "Xiaojian Xu and Narayanan, {Ram M.}",

note = "Funding Information: Manuscript received December 6, 1999; revised November 9, 2000. This work was supported by the Air Force Office of Scientific Research (AFOSR) under Contract F49620-99-1-0209. The authors are with the Department of Electrical Engineering, Center for Electro-Optics, University of Nebraska Lincoln, NE 68588-0511 USA (e-mail: xxu@doppler.unl.edu; ram@doppler.unl.edu). Publisher Item Identifier S 0018-926X(01)09188-8.",

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N2 - When applied in airborne imaging surveillance, ultra wide-band (UWB) random noise radars have their special merits. Because of the randomness and the ultrawide bandwidth of the transmit and receive signals, such radars can be used for covert detection and identification, and are immune from hostile detection and jamming while preserving very high range resolution. However, the images are plagued with artifacts caused by high range sidelobes. In this paper, a new technique for the range sidelobe suppression of UWB random noise radar, which combines median and apodization filtering, is proposed. Computational and experimental results show the effectiveness of this image enhancement procedure.

AB - When applied in airborne imaging surveillance, ultra wide-band (UWB) random noise radars have their special merits. Because of the randomness and the ultrawide bandwidth of the transmit and receive signals, such radars can be used for covert detection and identification, and are immune from hostile detection and jamming while preserving very high range resolution. However, the images are plagued with artifacts caused by high range sidelobes. In this paper, a new technique for the range sidelobe suppression of UWB random noise radar, which combines median and apodization filtering, is proposed. Computational and experimental results show the effectiveness of this image enhancement procedure.

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Range sidelobe suppression technique for coherent ultra wide-band random noise radar imaging

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