A Forward Automatic Censored Cell-Averaging Detector for Multiple Target Situations in Log-Normal Clutter

Authors: Musa'ed N. Almarshad, Saleh A. Alshebeili, Mourad Barkat

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.

Keywords: CFAR, Log-normal clutter, Censoring, Probabilityof detection, Probability of false alarm, Probability of falsecensoring.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334073

References:

[1] M. Barkat, Signal Detection and Estimation, 2nd ed., Norwood, MA:Artech House, 2005.
[2] 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.
[3] 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.
[4] R. Srinivasan, ÔÇÿÔÇÿRobust radar detection using ensemble CFAR processing,-- IEE Proc., Radar Sonar Navig., Vol. 147, No. 6, pp. 291- 297, Dec. 2000.
[5] 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.
[6] 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.
[7] 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.
[8] D. A. Shnidman, ÔÇÿÔÇÿGeneralized radar clutter model, -- IEEE Trans. Aerosp. Electron. Syst., Vol. 35, No. 3 , pp. 857-865, July 1999.
[9] 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.
[10] M. Guida, M. Longo and M. Lops, ÔÇÿÔÇÿBiparametric CFAR procedures for lognormal clutter ", IEEE Trans. Aerosp. Electron. Syst., Vol. 29, no.3, July 1993.
[11] 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.
[12] 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.
[13] E. K, Al-Hussaini, ÔÇÿÔÇÿPerformance of an ordered statistic CFAR processor in lognormal clutter,-- IEE Electronic letters, Vol.24, No.7, March 1988.
[14] H. A. David, H. N. Nagaraja, Order Statistics, 3rd ed., John Wiley, Aug. 2003.
[15] A. K. Gupta, ÔÇÿÔÇÿEstimation of the mean and standard deviation of a normal population from a censored sample, -- Biometrika, 1952.