Non-Gaussian random vector identification using spherically invariant random processes

IEEE Transactions on Aerospace and Electronic Systems

Volumn 29, Issue 1, 1993, Pages 111-124

  Rangaswamy, Muralidhar ^a   Weiner, Donald ^a   Öztürk, Aydin ^b  

^a SYRACUSE UNIVERSITY   (United States)

^b EGE UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; PROBABILITY; RADAR INTERFERENCE; RANDOM PROCESSES;

NON-GAUSSIAN RADAR CLUTTER; PROBABILITY DENSITY FUNCTION; STATISTICAL ANALYSIS;

RADAR CLUTTER;

EID: 0027303532     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/7.249117     Document Type: Article

References (17)

1. Kingman, J. F. C. (1963) Random walks with spherical symmetry. Acta Mathematics, Stockholm, 109 (1963), 11–53.
2. Yao, K. (1973) A representation theorem and its applications to spherically invariant random processes. IEEE Transactions on Information Theory, IT-19 (1973), 600–608.
3. Goldman, J. (1976) Detection in the presence of spherically symmetric random processes. IEEE Transactions of Information Theory, IT-22 (1976), 52–58.
4. Brehm, H. (1982) Description of spherically invariant random processes by means of G-functions. Springer Lecture Notes, 969 (1982), 39–73.
5. Conte, E., and Longo, M. (1987) Characterization of radar clutter as a spherically invariant random process. IEEE Proceedings, Pt F (Communication, Radar, and Signal Processing), 134, 2 (1987), 191–197.
6. Conte, E., Galati, G., and Longo, M. (1987) Exogenous modeling of non-Gaussian clutter. Journal of the Institution of Electronics and Radio Engineers, 57, 4 (1987), 151–155.
7. Modestino, J. W., and Ningo, A. Y. (1979) Detection of weak signals in narrowband non-Gaussian noise. IEEE Transactions on Information Theory, IT-25 (1979), 592–600.
8. Öztürk, A., and Dudewicz, E. J. (1990) A new statistical goodness of fit test based on graphical representation. Technical report 152, Department of Mathematics, Syracuse Univ., Syracuse, NY.
9. Papoulis, A. (1984) Probability; Random Variables and Stochastic Processes. New York: McGraw-Hill, 1984.
10. Gradshteyn, I. S., and Ryzhik, I. M. (1980) Table of Integrals, Series, and Products. New York: Academic Press, 1980.
11. Erdelyi, A., Magnus, W, and Oberhettinger, F. (1954) Tables of Integral Transforms. New York: McGraw-Hill, 1954.
12. Gray, A. (1966) A Treatise on Bessel’s Functions and Their Applications to Physics. New York: Dover, 1966.
13. Kassam, S. A. (1988) Signal Detection in Non-Gaussian Noise. New York: Springer, 1988.
14. Blake, I. F., and Thomas, J. B. (1968) On a class of processes arising in linear estimation theory. IEEE Transactions on Information Theory, IT-14 (1968), 12–16.
15. Conte, E., Lops, M., and Ullo, S. (1989) A new model for coherent Weibull clutter. In Proceedings of the International Conference on Radar, Paris, Apr. 1989, 482-487.
16. Conte, E. Longo, M., and Lops, M. (1990) Detection of unknown phase, unknown amplitude Mary signals in spherically symmetric noise. In Proceedings of the International Symposium on Information Theory and its Application (ISITA'90), Waikiki, Hawaii, Nov. 1990, 227–230.
17. Conte, E., Longo, M., and Lops, M. (1991) Modelling and simulation of non-Rayleigh radar clutter. IEE Proceedings, Pt. F (Communication, Radar, and Signal Processing), 138, 2 (1991), 121–130.