Performance analysis of two covariance matrix estimators in compound-Gaussian clutter

IEE Proceedings: Radar, Sonar and Navigation

Volumn 146, Issue 3, 1999, Pages 133-139

  Gini, F ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

MATRIX ALGEBRA; SIGNAL DETECTION; SPURIOUS SIGNAL NOISE;

COMPOUND-GAUSSIAN CLUTTER; NORMALIZED SAMPLE COVARIANCE MATRIX ESTIMATORS (NSCME);

RADAR CLUTTER;

EID: 0032628660     PISSN: 13502395     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ip-rsn:19990479     Document Type: Article

References (29)

1. KELLY, E.J.: 'An adaptive detection algorithm', IEEE Trans. Aerosp. Electmn. Syst., 1986, 22, pp. 115-127
2. RAGHAVAN, R.S., PULSONE, R, and McLAUGHLIN, D.J.: 'Performance of the GLRT for adaptive vector subspace detection', IEEE Trans. Aerosp. Electron. Syst., 1996, 32, pp. 1473-1487
3. REED, I.S., MALLET, J.D., and BRENNAN, L.E.: 'Rapid covergence rate in adaptive arrays', IEEE Trans. Aerosp. Electron. Syst., 1974, 10, pp. 853-863
4. ROBEY, F.C., FUHRMANN, D.R., KELLY, E.J., and NITZBERG, R.: 'A CFAR adaptive matched filter detector', IEEE Trans. Aerosp. Electron. Syst., 1992, 28, pp. 208-216
5. SCHARF, L.L., and McWHORTER, L.T.: 'Adaptive matched subspace detectors and adaptive coherence estimators'. Proc. of 31st Asilomar Conference on Signals, Systems, and Computers, November 1996 Pacific Grove, California, pp. 1114-1117
6. CONTE, E., LOPS, M., and RICCI, G.: 'Adaptive matched filter detection in spherically invariant noise', IEEE Signal Process. Lett., 1996,3, pp. 248-250
7. GINI, F., GRECO, M. Y, and VERRAZZANI, L.: 'Detection problem in mixed clutter environment as a Gaussian problem by adaptive preprocessing', Eleclwn. Lett., 1995, 31, pp. 1189-1190
8. GINI, F., GRECO, M.V, and FARINA, A.: 'Clairvoyant and adaptive signal detection in non-Gaussian clutter a data-dependent threshold interpretation', IEEE Trans. Signal Pmcess., June 1999, 47, (6), pp. 1522-1531
9. GINI, F., and GRECO, M.Y: 'A suboptimum approach to adaptive coherent radar detection in compound-Gaussian clutter', IEEE Trans. Aerosp. Electmn. Syst., July 1999, 35, (3)
10. MICHELS, J.H.: 'Covariance matrix estimator performance in nonGaussian spherically invariant random processes'. Technical Report RL-TR-96-4, January 1996 Rome Laboratory Rome, NY
11. MICHELS, J.H.: 'Covariance matrix estimator performance in nonGaussian clutter processes'. Proc. of 1997 National Radar Conference, May 1997, Syracuse, NY, USA, pp. 309-313
12. RANGASWAMY, M., and MICHELS, J.H.: 'A parametric multichannel detection algorithm for correlated non-Gaussian random processes'. Proc. of 1997 National Radar Conference, May 1997, Syracuse, NY, USA, pp. 349-354
13. RANGASWAMY, M., WEINER, D.D., and MICHELS, J.H.: 'Innovations based detection algorithm for correlated non-Gaussian random processes'. Proc. of 6th SSAP Workshop on Statistical Signal and Array Processing, 1992, Victoria, British Columbia, Canada, pp. 7-9
14. RICHMOND, C.D.: 'A note on non-Gaussian adaptive array detection and signal parameter estimation, IEEE Signal Process. Lett., 1996, 3, (8), pp. 251-252
15. WARD, K.D., BAKER, C.J., and WATTS, S.: 'Maritime surveillance radar. Part 1: Radar scattering from the ocean surface', IEE Proc. F, 1990, 137, pp. 51-62
16. ALUFFI PENTINI, F., FARINA, A., and ZIRILLI, F.: 'Radar detection of targets located in a coherent K-distributed clutter background', IEE Proc. F, 1992, 139, pp. 239-245
17. RANGASWAMY, M., MICHELS, J.H., and WEINER, D.D.: 'Multichannel detection algorithm for correlated non-Gaussian random processes based on innovations', IEEE Trans. Signal Process., 1995, 43, pp. 1915-1922
18. SANGSTON, K.J., and GERLACH, K.R.: 'Coherent detection of radar targets in a non-Gaussian background, IEEE Trans. Aerosp. Electron. Syst., 1994, 30, pp. 330-340
19. SANGSTON, K.J., GINI, F., GRECO, M.V, and FARINA, A.: 'Structures for radar detection in compound-Gaussian clutter, IEEE Trans. Aerosp. Electron. Syst., 1999, 35, (2), pp. 445-458
20. GINI, F.: 'A cumulant-based adaptive technique for coherent radar detection in a mixture of K-distributed clutter and Gaussian disturbance', IEEE Trans. Signal Process., 1997, 45, pp. 1507-1519
21. LEVANON, N.: 'Radar Principles'(John Wiley & Sons, 1998)
22. FARINA, A., GINI, F., GRECO, M.V, and VERRAZZANI, L.: 'High resolution sea clutter data: a statistical analysis of recorded live data', IEEProc. Radar Sonar Navig., 1997, 144, pp. 121-130
23. GINI, F.: 'Sub-optimum coherent radar detection in a mixture of Kdistributed and Gaussian clutter', IEE Proc. Radar Sonar Navig., 1997, 144, 39-48
24. GINI, F., GRECO, M.V, FARINA, A., and LOMBARDO, P.: 'Optimum and mismatched detection against K-distributed plus Gaussian clutter', IEEE Trans. Aerosp. Electron. Syst., 1998, 34, pp. 860-876
25. LOMBARDO, P., and FARINA, A.: 'Coherent radar detection against Kdistributed clutter with partially correlated texture', Signal Process., 1996, 48, pp. 1-15
26. BARNARD, T.J., and WEINER, D.D.: 'Non-Gaussian clutter modeling with generalized spherically invariant random vectors', IEEE Trans. Signal Process., 1996, 44, pp. 2384-2390
27. GINI, F.: 'A radar application of a modified Cramér-Rao bound: parameter estimation in non-gaussian clutter', IEEE Trans. Signal Process., 1998, 46, pp. 1945-1953
28. PORAT, B.: 'Digital processing of random signals: theory & methods' (Prentice Hall, Inc., Englewood Cliffs, NJ 07632, 1994)
29. DROSOPOULOS, A.: 'Description of the OHGR database'. Tech. Note No 94-14, 1994, Defence Research Establishment, Ottawa