Maximum likelihood estimation for compound-Gaussian clutter with inverse gamma texture

IEEE Transactions on Aerospace and Electronic Systems

Volumn 43, Issue 2, 2007, Pages 775-780

  Balleri, Allessio ^a   Nehorai, Arye ^b,c   Wang, Jian ^b  

^a UNIVERSITY OF PISA   (Italy)

^b University of Illinois at Chicago   (United States)

^c WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC ANALYSIS; CRAMER-RAO BOUNDS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION;

GAUSSIAN CLUTTER; INVERSE GAMMA DISTRIBUTED TEXTURE; METHOD OF FRACTIONAL MOMENTS;

RADAR CLUTTER;

EID: 34548172211     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAES.2007.4285370     Document Type: Article

References (16)

1. Yao, K. Spherically invariant random processes: Theory and applications. In V. K. Bhargava, et al., (Eds.), Communications, Information and Network Security, Dordrecht, The Netherlands: Kluwer Academic Publishers, 2002, ch. 16, 315-332.
2. Gini, F., Greco, M. V., Diani, M., and Verrazzani, L. Performance analysis of two adaptive radar detectors against non-Gaussian real sea clutter data. IEEE Transactions on Aerospace and Electronic Systems 36 (Oct. 2000), 1429-1439.
3. Farina, A., Gini, F., Greco, M. V., and Verrazzani, L. High resolution sea clutter data: A statistical analysis of recorded live data. IEE Proceedings, 144 (June 1997), 121-130.
4. Conte, E., and Longo, M. Characterisation of radar clutter as a spherically invariant random process. IEE Proceedings, Pt. F, 134 (Apr. 1997), 191-197.
5. Gini, F., and Greco, M. Texture modelling, estimation and validation using measured sea clutter data. Proceedings of the IEE, Radar, Sonar, Navigation, 149 (June 2002), 115-124.
6. Dogandžić, A., Nehorai, A., and Wang, J. Maximum likelihood estimation of compound-Gaussian clutter and target parameters. In Proceedings of 12th Annual Workshop Adaptive Sensor Array Processing (ASAP '04), Lincoln Laboratory, Lexington, MA, Mar. 2004.
7. Emmanuelle, J., Ovarlez, J. P., Declercq, D., and Duvaut, P. BORD: Bayesian optimum radar detector. Signal Processing, 83, 6 (2003), 1151-1162.
8. Lange, K. L., Little, R. J. A., and Taylor, J. M. G. Robust statistical modeling using the t distribution. Journal of the American Statistical Association, 84 (Dec. 1989), 881-896.
9. Abramowitz, M., and Stegun, I. A. (Eds.) Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover, 1972.
10. Iskander, D. R., and Zoubir, A. M. Estimation of the parameters of the K-distribution using higher order and fractional moments. IEEE Transactions on Aerospace and Electronic Systems, 35 (Oct. 1999), 1453-1457.
11. Kay, S. M. Fundamental of Statistical Signal Processing: Esimation Theory. Prentice Hall Signal Processing Series Alan V. Oppenheim, series editor, Englewood Cliffs, NJ: Prentice-Hall, 1993.
12. Conte, E., De Maio, A., and Galdi, C. Statistical analysis of real clutter at different range resolutions. IEEE Transactions on Aerospace and Electronic Systems, 40, 3 (July 2004).
13. Greco, M., Gini, F., and Diani, M. Robust CFAR detection of random signals in compound-Gaussian clutter plus thermal noise. IEE Proceedings, Pt. F, 148 (Aug. 2001), 227-232.
14. Griffiths, H. D. Knowledge-based solutions as they apply to the general radar problem. In Proceedings of the Research Technology Organization North Atlantic Treaty Organization Lecture Series 233, Knowledge-Based Radar Signal and Data Processing, Rome, Italy, Nov. 6-7, 2000.
15. Greco, M., Bordoni, F., and Gini, F. X-band sea-clutter nonstationarity: Influence of long waves. IEEE Journal of Oceanic Engineering, 29 (Apr. 2004), 269-283.
16. Anastassopoulos, V., Lampropoulos, G. A., Drosopoulos, A., and Rey, N. High resolution radar clutter statistics. IEEE Transactions on Aerospace and Electronic Systems, 35 (Jan. 1999), 43-60.