Performance evaluation of RQ non‐parametric CFAR detector in multiple target and non‐uniform clutter

Meng, Xiangfu

doi:10.1049/iet-rsn.2019.0472

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…A closed form expression of false alarm rate of the RS nonparametric detector in homogeneous background has been derived by Akimov (in Russian), and it was reported by M. Sekine and Y. H. Mao [14] . The analytical expressions of the false alarm rate for the RS and rank quantization (RQ) nonparametric detector [15] in nonhomogeneous background were derived in [16] and [17], respectively.…”

Section: Introductionmentioning

confidence: 99%

Wilcoxon Nonparametric CFAR Scheme for Ship Detection in SAR Image

Meng

2024

Preprint

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The parametric constant false alarm rate (CFAR) detection algorithms which are based on various statistical distributions, such as Gaussian, Gamma, Weibull, log-normal, G0 distribution, alpha-stable distribution, etc, are most widely used to detect the ship targets in SAR image at present. However, the clutter background in SAR images is complicated and variable. When the actual clutter background deviates from the assumed statistical distribution, the performance of the parametric CFAR detector will deteriorate. In addition to the parametric CFAR schemes, there is another class of nonparametric CFAR detectors which can maintain a constant false alarm rate for the target detection without the assumption of a known clutter distribution. In this work, the Wilcoxon nonparametric CFAR scheme for ship detection in SAR image is proposed and analyzed, and a closed form of the false alarm rate for the Wilcoxon nonparametric detector to determine the decision threshold is presented. By comparison with several typical parametric CFAR schemes on Radarsat-2, ICEYE-X6 and Gaofen-3 SAR images, the robustness of the Wilcoxon nonparametric detector to maintain a good false alarm performance in different detection backgrounds is revealed, and its detection performance for the weak ship in rough sea surface is improved to some extent. Moreover, the Wilcoxon nonparametric detector can suppress the false alarms resulting from the sidelobes at some degree and its detection speed is fast.

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Section: Introductionmentioning

confidence: 99%

Wilcoxon Nonparametric CFAR Scheme for Ship Detection in SAR Image

Meng

2024

Preprint

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Robust CFAR Detector With Ordered Statistic of Sub-Reference Cells in Multiple Target Situations

et al. 2022

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Herein, a robust constant false alarm rate (CFAR) detector with ordered statistic of subreference cells (OSS-CFAR) is proposed in multiple target situations. This detector can improve background level estimation and reduce computational complexity using sub-reference cells. The detection performance of the OSS-CFAR detector and of conventional CFAR detectors in multiple target situations are investigated and compared using computer simulations and experimental data with sea clutter. The simulations and experimental results show that the OSS-CFAR detector achieves robust detection performance with low computational complexity, whereas conventional CFAR detectors suffer performance degradation in multiple target situations. At the clutter edge, the OSS-CFAR detector with appropriate parameters achieves an acceptable false alarm rate compared to conventional CFAR detectors.INDEX TERMS Constant false alarm rate detector, clutter edge, multiple target situations, ordered statistic of sub-reference cells.

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