Accurate modeling of sea clutter and detection of low observable targets within sea clutter are the major goals of radar signal processing applications. Recently, fractal geometry has been applied to the analysis of high range resolution radar sea clutters. The box-counting method is widely used to estimate fractal dimension but it has some drawbacks. We explain the drawbacks and propose a new fractal dimension based detector to increase detection performance in comparison with traditional detectors. Both statistically generated and real data samples are used to compare detector performance.
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Nima M. POURNEJATIAN, Mohammad M. NAYEBI, Mohammad R. TABAN, "Blind Box-Counting Based Detection of Low Observable Targets within Sea Clutter" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 12, pp. 3863-3872, December 2012, doi: 10.1587/transcom.E95.B.3863.
Abstract: Accurate modeling of sea clutter and detection of low observable targets within sea clutter are the major goals of radar signal processing applications. Recently, fractal geometry has been applied to the analysis of high range resolution radar sea clutters. The box-counting method is widely used to estimate fractal dimension but it has some drawbacks. We explain the drawbacks and propose a new fractal dimension based detector to increase detection performance in comparison with traditional detectors. Both statistically generated and real data samples are used to compare detector performance.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.3863/_p
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@ARTICLE{e95-b_12_3863,
author={Nima M. POURNEJATIAN, Mohammad M. NAYEBI, Mohammad R. TABAN, },
journal={IEICE TRANSACTIONS on Communications},
title={Blind Box-Counting Based Detection of Low Observable Targets within Sea Clutter},
year={2012},
volume={E95-B},
number={12},
pages={3863-3872},
abstract={Accurate modeling of sea clutter and detection of low observable targets within sea clutter are the major goals of radar signal processing applications. Recently, fractal geometry has been applied to the analysis of high range resolution radar sea clutters. The box-counting method is widely used to estimate fractal dimension but it has some drawbacks. We explain the drawbacks and propose a new fractal dimension based detector to increase detection performance in comparison with traditional detectors. Both statistically generated and real data samples are used to compare detector performance.},
keywords={},
doi={10.1587/transcom.E95.B.3863},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Blind Box-Counting Based Detection of Low Observable Targets within Sea Clutter
T2 - IEICE TRANSACTIONS on Communications
SP - 3863
EP - 3872
AU - Nima M. POURNEJATIAN
AU - Mohammad M. NAYEBI
AU - Mohammad R. TABAN
PY - 2012
DO - 10.1587/transcom.E95.B.3863
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2012
AB - Accurate modeling of sea clutter and detection of low observable targets within sea clutter are the major goals of radar signal processing applications. Recently, fractal geometry has been applied to the analysis of high range resolution radar sea clutters. The box-counting method is widely used to estimate fractal dimension but it has some drawbacks. We explain the drawbacks and propose a new fractal dimension based detector to increase detection performance in comparison with traditional detectors. Both statistically generated and real data samples are used to compare detector performance.
ER -