A Forward Automatic Censored Cell-Averaging Detector for Multiple Target Situations in Log-Normal Clutter
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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:56670", author = "Musa'ed N. Almarshad and Saleh A. Alshebeili and Mourad Barkat", title = "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.", keywords = "CFAR, Log-normal clutter, Censoring, Probabilityof detection, Probability of false alarm, Probability of falsecensoring.", volume = "2", number = "12", pages = "2755-6", }