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The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms

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dc.contributor.author Melebari, A
dc.contributor.author Melebari, A
dc.contributor.author Alomar, W
dc.contributor.author Abdul Gaffar, MY
dc.contributor.author De Wind, R
dc.contributor.author Cilliers, Jacques E
dc.date.accessioned 2016-03-04T11:47:25Z
dc.date.available 2016-03-04T11:47:25Z
dc.date.issued 2015-10
dc.identifier.citation Melebari, A, Melebari A, Alomar, W, Abdul Gaffar, MY, De Wind, R and Cilliers, J. 2015. The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms. In: IEEE Radar Conference, Johannesburg, South Africa, 28-30 October 2015, pp 249-254. en_US
dc.identifier.uri http://hdl.handle.net/10204/8459
dc.description IEEE Radar Conference, Johannesburg, South Africa, 28-30 October 2015. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. en_US
dc.description.abstract A major challenge in radar design is to not overflow the processor with false detections. This paper investigates the performance of Constant False Alarm Rate (CFAR) algorithms on maintaining a fixed false alarm rate when windowing is used to reduce the sidelobes in both the slant-range and the Doppler domain. A Monte Carlo simulation was used to investigate the performance of Cell Averaging CFAR (CA-CFAR) and Ordered Statistic CFAR (OS-CFAR) algorithms. Results show that the windowing operation induces correlation between the samples. This correlation causes a large error in the Probability of False Alarm (PFA) when the CFAR scale factor was calculated using closed form equations, which assume that the samples are uncorrelated. In order to maintain a fixed false alarm rate when the windowing operation is used, the scale factor value should be calculated by simulation. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Worklist;16094
dc.subject Radar design en_US
dc.subject Constant False Alarm Rate en_US
dc.subject CFAR en_US
dc.subject Probability of False Alarm en_US
dc.subject PFA en_US
dc.title The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Melebari, A., Melebari, A., Alomar, W., Abdul Gaffar, M., De Wind, R., & Cilliers, J. E. (2015). The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms. IEEE. http://hdl.handle.net/10204/8459 en_ZA
dc.identifier.chicagocitation Melebari, A, A Melebari, W Alomar, MY Abdul Gaffar, R De Wind, and Jacques E Cilliers. "The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms." (2015): http://hdl.handle.net/10204/8459 en_ZA
dc.identifier.vancouvercitation Melebari A, Melebari A, Alomar W, Abdul Gaffar M, De Wind R, Cilliers JE, The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms; IEEE; 2015. http://hdl.handle.net/10204/8459 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Melebari, A AU - Melebari, A AU - Alomar, W AU - Abdul Gaffar, MY AU - De Wind, R AU - Cilliers, Jacques E AB - A major challenge in radar design is to not overflow the processor with false detections. This paper investigates the performance of Constant False Alarm Rate (CFAR) algorithms on maintaining a fixed false alarm rate when windowing is used to reduce the sidelobes in both the slant-range and the Doppler domain. A Monte Carlo simulation was used to investigate the performance of Cell Averaging CFAR (CA-CFAR) and Ordered Statistic CFAR (OS-CFAR) algorithms. Results show that the windowing operation induces correlation between the samples. This correlation causes a large error in the Probability of False Alarm (PFA) when the CFAR scale factor was calculated using closed form equations, which assume that the samples are uncorrelated. In order to maintain a fixed false alarm rate when the windowing operation is used, the scale factor value should be calculated by simulation. DA - 2015-10 DB - ResearchSpace DP - CSIR KW - Radar design KW - Constant False Alarm Rate KW - CFAR KW - Probability of False Alarm KW - PFA LK - https://researchspace.csir.co.za PY - 2015 T1 - The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms TI - The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms UR - http://hdl.handle.net/10204/8459 ER - en_ZA


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