Comparison of adaptive cell-averaging detectors for multiple-target situations

Al-Hussaini, Emad K.; Ibrahim, Bahaaeldin

doi:10.1049/ip-f-1.1986.0037

Cited by 28 publications

(7 citation statements)

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“…An alternative solution for improving the performance is the application of threshold compensation techniques previously discussed in [6]. In these techniques the threshold α is adaptively decreased to compensate for the drastical decrease in P fa due to the presence of interfering targets under the condition that P fa will be maintained below its nominal value.…”

Section: Analysis and Conclusionmentioning

confidence: 99%

Performance of a Cell Averaging RADAR Detector in the Presence of Interfering Targets

Al-Hussaini¹

1989

Frequenz

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Section: Analysis and Conclusionmentioning

confidence: 99%

Performance of a Cell Averaging RADAR Detector in the Presence of Interfering Targets

Al-Hussaini¹

1989

Frequenz

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“…When there are too many icebergs in the local reference window, no longer statistical modeling of the sea clutter is estimated, but of a mixture of sea clutter and icebergs [7], which can result in severe degradation of the CFAR detector performance causing missed icebergs and an increased number of false alarms. In target detection context, this is generally knows as the capture effect [6], [8].…”

Section: Introductionmentioning

confidence: 99%

Iceberg detection in open water and sea ice using C-band radar polarimetry

Akbari

Brekke

2017

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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Icebergs can cause a significant danger for shipping, offshore oil exploration, and undersea or subsea pipelines and production facilities. Synthetic aperture radar (SAR) is very valuable tool of detecting and monitoring icebergs in the often dark and cloud-covered polar regions. Detection of small icebergs floating in nonhomegeous sea clutter environments is a challenging task in remote sensing. In this paper, a new methodology is proposed for automatic identification of icebergs in highresolution polarimetric SAR images acquired during different seasons. This involves adapting the algorithm to sea-ice conditions, and facing challenges when it comes to high iceberg density, meteorological and oceanographic phenomena in the marginal ice zone causing heterogeneity in the background clutter. The algorithm is tested with time series of RADARSAT-2 C-band quad-polarimetric images to detect icebergs in Kongsfjorden (Ny-Alesund, Svalbard) that have broken off from the glaciers nearby.

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“…An abrupt strong signal from background object leads to overestimation of the threshold, because the determination is based on averaging of alongside cells. To solve the problem, there are variations of a CFAR circuit, including smallest-of (SO) CFAR [4], ordered-statistics (OS) CFAR [5], and and-or CFAR [6], and they have been examined for automotive radars [7].…”

Section: Introductionmentioning

confidence: 99%

A CFAR Circuit with Multiple Detection Cells for Automotive UWB Radars

Takahashi

2010

IEICE Trans. Commun.

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Future high-resolution short-range automotive radar will have a higher false alarm probability than the conventional low-resolution radar has. In a high-resolution radar, the reception signal becomes sensitive to the difference between intended and unintended objects. However, automotive radars must distinguish targets from background objects that are the same order of size; it leads to an increase in the false alarm probability. In this paper, a CFAR circuit for obtaining the target mean power, as well as the background mean power, is proposed to reduce the false alarm probability for high-resolution radars working in automotive environments. The proposed method is analytically evaluated with use of the characteristic function method. Spatial correlation is also considered in the evaluation, because the sizes of the both target and background objects approach the dimension of several range cells. Result showed the proposed CFAR with use of two alongside range cells could reduce the ratio of 6.4 dB for an example of an automotive situation.

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Comparison of adaptive cell-averaging detectors for multiple-target situations

Cited by 28 publications

References 0 publications

Performance of a Cell Averaging RADAR Detector in the Presence of Interfering Targets

Performance of a Cell Averaging RADAR Detector in the Presence of Interfering Targets

Iceberg detection in open water and sea ice using C-band radar polarimetry

A CFAR Circuit with Multiple Detection Cells for Automotive UWB Radars

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