A Tunable Detector for Distributed Target Detection in the Situation of Signal Mismatch

Tang, Peiqin; Wang, Yongliang; Liu, Weijian; Du, Qian; Wu, Changfei; Chen, Wei

doi:10.1109/lsp.2019.2961838

Cited by 14 publications

(2 citation statements)

References 31 publications

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“…Detection of a maritime target with low Radar Cross Section (RCS) and low or zero velocity such as a floating small boat or wood on ocean environment is one of the most difficult detection problems with an increasing interest in the recent years [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. In addition, using polarimetric antenna for small target detection has been an active area of research during recent decade [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

“…The adaptive and constant false alarm rate (CFAR) based detectors [ 28 ] are examples of such detector that their performance degrades in low Signal-to-Clutter Ratios (SCRs) and with changes in sea state. To confront with this problem, fractal-based and feature-based detectors in single-polarization and multi-polarization are proposed [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. Feature-based detector using three TF features [ 3 ], 3-D polarimetric feature detector [ 21 ], Graph-based detector [ 29 ] and feature-compression-based detector [ 15 ] attain the best performance on the IPIX radar database [ 30 ] among these algorithms, but their performance is still low in some situations especially in very low SCRs as in some datasets of IPIX radars such as files #17, #26 and #30.…”

Section: Introductionmentioning

confidence: 99%

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Polarimetric detection of maritime floating small target based on the Complex-valued Entropy Rate Bound Minimization

Ghahramani

Parhizgar

Arand

et al. 2020

Heliyon

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Detection of sea-surface small floating targets in maritime high-resolution surveillance radar has been an active area of research in recent years. In this paper, we propose a new detector based on a complex-valued independent component analysis (cICA) algorithm proposed by Geng-Shen Fu et al. called complex entropy rate bound minimization (CERBM), to look for targets in polarimetric radars. It uses received time series at cell under test (CUT) with different polarizations as distinct mixtures. The proposed detector can exploit all information of polarimetric radar for an accurate detection. It does separation on the mixtures using CERBM which results in two output sources, i.e. clutter and target. Finally, the target is detected using estimation of the parameters of K-distribution for outputted sources. Our experiments on the recognized IPIX radar database show that the proposed detector obtains better detection performance in comparison to the newly proposed detectors. The robustness of the detector is also investigated by experiment in either low and high sea state which shows its appropriate results.

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