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Object Detector on Coastal Surveillance Radar Using Two-Dimensional Order-Statistic Constant-False Alarm Rate Algoritm.

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Title: Object Detector on Coastal Surveillance Radar Using Two-Dimensional Order-Statistic Constant-False Alarm Rate Algoritm.
Authors: Kurniawan, Dayat1 daysdk63@gmail.com, Adhi, Purwoko1, Satyawan, Arief Suryadi1, Syamsu, Iqbal1, Praludi, Teguh1
Source: Telkomnika. Jun2015, Vol. 13 Issue 2, p624-631. 8p.
Subjects: Radar, Visual C++ (Computer program language), Coastal surveillance, Algorithms, False alarms
Abstract: This paper describes the development of radar object detection using two dimensional constant false alarm rate (2D-CFAR). Objective of this development is to minimize noise detection if compared with the previous algorithm that uses one dimensional constant false alarm rate (1D-CFAR) algorithm such as order-statistic (OS) CFAR, cell-averaging (CA) CFAR, AND logic (AND) CFAR and variability index (VI) CFAR where has been implemented on coastal surveillance radar. The optimum detection result in coastal surveillance radar testing when Pfa set to 1e-2, Kth set to 3/4*Nwindow and Guard Cell set to 0. Principle of 2D-CFAR algorithm is combining of two CFAR algorithms for each array data of azimuth and range. Order statistic (OS) CFAR algoritm is implemented on this 2D-CFAR by fusion rule of AND logic.The algorithm of 2D-CFAR is developed using Microsoft Visual C++ 2008 and the output of 2D-CFAR is plotted on PPI scope radar using GDI+ library. The result of 2D-CFAR development shows that 2D-CFAR can minimize noise detected if compared with 1D-CFAR with the same parameter of CFAR. Best performance of 2D- CFAR in object detection when Nwindow set to 128. The time of software processing of 2D-CFAR is about two times longer than the 1D-CFAR. [ABSTRACT FROM AUTHOR]
Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 111060894
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Object Detector on Coastal Surveillance Radar Using Two-Dimensional Order-Statistic Constant-False Alarm Rate Algoritm.
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  Data: <searchLink fieldCode="AR" term="%22Kurniawan%2C+Dayat%22">Kurniawan, Dayat</searchLink><relatesTo>1</relatesTo><i> daysdk63@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Adhi%2C+Purwoko%22">Adhi, Purwoko</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Satyawan%2C+Arief+Suryadi%22">Satyawan, Arief Suryadi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Syamsu%2C+Iqbal%22">Syamsu, Iqbal</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Praludi%2C+Teguh%22">Praludi, Teguh</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Telkomnika%22">Telkomnika</searchLink>. Jun2015, Vol. 13 Issue 2, p624-631. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Radar%22">Radar</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+C%2B%2B+%28Computer+program+language%29%22">Visual C++ (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Coastal+surveillance%22">Coastal surveillance</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22False+alarms%22">False alarms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper describes the development of radar object detection using two dimensional constant false alarm rate (2D-CFAR). Objective of this development is to minimize noise detection if compared with the previous algorithm that uses one dimensional constant false alarm rate (1D-CFAR) algorithm such as order-statistic (OS) CFAR, cell-averaging (CA) CFAR, AND logic (AND) CFAR and variability index (VI) CFAR where has been implemented on coastal surveillance radar. The optimum detection result in coastal surveillance radar testing when Pfa set to 1e-2, Kth set to 3/4*Nwindow and Guard Cell set to 0. Principle of 2D-CFAR algorithm is combining of two CFAR algorithms for each array data of azimuth and range. Order statistic (OS) CFAR algoritm is implemented on this 2D-CFAR by fusion rule of AND logic.The algorithm of 2D-CFAR is developed using Microsoft Visual C++ 2008 and the output of 2D-CFAR is plotted on PPI scope radar using GDI+ library. The result of 2D-CFAR development shows that 2D-CFAR can minimize noise detected if compared with 1D-CFAR with the same parameter of CFAR. Best performance of 2D- CFAR in object detection when Nwindow set to 128. The time of software processing of 2D-CFAR is about two times longer than the 1D-CFAR. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.12928/TELKOMNIKA.v13i2.1189
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 624
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      – SubjectFull: Radar
        Type: general
      – SubjectFull: Visual C++ (Computer program language)
        Type: general
      – SubjectFull: Coastal surveillance
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      – SubjectFull: Algorithms
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      – SubjectFull: False alarms
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      – TitleFull: Object Detector on Coastal Surveillance Radar Using Two-Dimensional Order-Statistic Constant-False Alarm Rate Algoritm.
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            NameFull: Kurniawan, Dayat
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              Text: Jun2015
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