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A Forward Automatic Censored Cell-Averaging Detector for Multiple Target Situations in Log-Normal Clutter
Abstract:A challenging problem in radar signal processing is to achieve reliable target detection in the presence of interferences. In this paper, we propose a novel algorithm for automatic censoring of radar interfering targets in log-normal clutter. The proposed algorithm, termed the forward automatic censored cell averaging detector (F-ACCAD), consists of two steps: removing the corrupted reference cells (censoring) and the actual detection. Both steps are performed dynamically by using a suitable set of ranked cells to estimate the unknown background level and set the adaptive thresholds accordingly. The F-ACCAD algorithm does not require any prior information about the clutter parameters nor does it require the number of interfering targets. The effectiveness of the F-ACCAD algorithm is assessed by computing, using Monte Carlo simulations, the probability of censoring and the probability of detection in different background environments.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334073Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1568
 M. Barkat, Signal Detection and Estimation, 2nd ed., Norwood, MA:Artech House, 2005.
 P.P. Gandhi and S. A. Kassam, ÔÇÿÔÇÿAnalysis of CFAR Processors in nonhomogeneous Background,-- IEEE Trans. Aerosp. Electron. Syst., AES-24, Vol. 24, No. 4, pp 427-445, July 1988.
 S. D. Himonas and M. Barkat, ÔÇÿÔÇÿAutomatic censored CFAR detection for nonhomogeneous environments,-- IEEE Trans. Aerosp. Electron. Syst., Vol. 28, No. 1, pp. 286-304, Jan.1992.
 R. Srinivasan, ÔÇÿÔÇÿRobust radar detection using ensemble CFAR processing,-- IEE Proc., Radar Sonar Navig., Vol. 147, No. 6, pp. 291- 297, Dec. 2000.
 M. E. Smith and P. K. Varshney, ÔÇÿÔÇÿIntelligent CFAR processor based on data variability,-- IEEE Trans. Aerosp. Electron. Syst., Vol. 36, No. 3, pp. 837-847, July 2000.
 A. Farrouki and M. Barkat, ÔÇÿÔÇÿAutomatic censoring CFAR detector based on ordered data variability for nonhomogeneous environments,-- IEE Proc., Radar Sonar Navig., Vol. 152, No. 1, Feb. 2005.
 J. B. Billingsley, A. Farina., F. Gini, M. V. Greco and Verrazzani, ÔÇÿÔÇÿStatistical analyses of measured radar ground clutter data,-- IEEE Trans. Aerosp. Electron. Syst, Vol. 35, No. 2 , pp. 579-592, Apr.1999.
 D. A. Shnidman, ÔÇÿÔÇÿGeneralized radar clutter model, -- IEEE Trans. Aerosp. Electron. Syst., Vol. 35, No. 3 , pp. 857-865, July 1999.
 G. B. Goldstein, ÔÇÿÔÇÿFalse-alarm regulation in log-normal and Weibull clutter,-- IEEE Trans. Aerosp. Electron. Syst, AES-9, No.1 , pp. 84-92, Jan 1973.
 M. Guida, M. Longo and M. Lops, ÔÇÿÔÇÿBiparametric CFAR procedures for lognormal clutter ", IEEE Trans. Aerosp. Electron. Syst., Vol. 29, no.3, July 1993.
 E. Conte, M. Lops and A. M . Tulino, ÔÇÿÔÇÿHybrid procedure for CFAR in non-Gaussian clutter,-- IEE Proc., Radar Sonar Navig., Vol. 144, No. 6, pp 361-369, Dec. 1997.
 P. Weber and S. Haykin, ÔÇÿÔÇÿOrdered statistic CFAR processing for two parameter distributions with variable skewness,-- IEEE Trans. Aerosp. Electron. Syst, Vol. AES-21, No. 6, pp. 819-821, Nov. 1985.
 E. K, Al-Hussaini, ÔÇÿÔÇÿPerformance of an ordered statistic CFAR processor in lognormal clutter,-- IEE Electronic letters, Vol.24, No.7, March 1988.
 H. A. David, H. N. Nagaraja, Order Statistics, 3rd ed., John Wiley, Aug. 2003.
 A. K. Gupta, ÔÇÿÔÇÿEstimation of the mean and standard deviation of a normal population from a censored sample, -- Biometrika, 1952.