Incoherent Receivers in Alpha-Stable Impulsive Noise

IEEE Transactions on Signal Processing

Volumn 43, Issue 9, 1995, Pages 2225-2229

  Nikias, Chrysostomos L ^b  

^a UNIVERSITY OF VIRGINIA   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DEMODULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; RANDOM PROCESSES; SPURIOUS SIGNAL NOISE;

ALPHA-STABLE IMPULSIVE NOISE; CAUCHY RECEIVER; HIGH PROBABILITY; INCOHERENT RECEIVERS;

SIGNAL RECEIVERS;

EID: 0029378634     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/78.414792     Document Type: Article

References (16)

1. D. Middleton, “Statistical-physical models of electromagnetic interference,” IEEE Trans. Electromagn. Compat., vol. EMC-19, no. 3, pp. 106-127, 1977.
2. D. Middleton, “Procedures for determining the parameters of the first-order canonical models of class A and class B electromagnetic interference,” IEEE Trans. Electromagn. Compat., vol. EMC-21, no. 3, pp. 190-208, 1979.
3. D. Middleton, “Canonical non-Gaussian noise models: Their implications for measurement and for prediction of receiver performance,” IEEE Trans. Electromagn. Compat., vol. EMC-21, no. 3, 1979.
4. D. Middleton, “Threshold detection in non-Gaussian interference environments: Exposition and interpretation of new results for EMC applications,” IEEE Trans. Electromagn. Compat., vol. EMC-26, no. 1, 1984.
5. E. J. Wegman, S. G. Schwartz, and J. B. Thomas, Eds., Topics in Non-Gaussian Signal Processing. New York: Academic, 1989.
6. C. L. Nikias and M. Shao, Signal Processing with Alpha-Stable Distributions and Applications. New York: Wiley, 1995.
7. S. S. Rappaport and L. Kurz, “An optimal nonlinear detector for digital data transmission through non-Gaussian channels,” IEEE Trans. Commun. Technol., vol. COM-14, pp. 266-274, 1966.
8. G. A. Tsihrintzis and C. L. Nikias, “Performance of optimum and suboptimum receivers in the presence of impulsive noise modeled as an α-stable process,” IEEE Trans. Commun., vol. 49, pp. 904-914, Mar. 1995.
9. _, “On the detection of stochastic impulsive transients over background noise,” Signal Processing, vol. 41, pp. 175-190, Jan. 1995.
10. L. A. Berry, “Understanding Middleton’;s canonical formula for class A noise,” IEEE Trans. Electromagn. Compat., vol. EMC-23, pp. 337-344, 1981.
11. M. Shao and C. L. Nikias, “Signal processing with fractional lower-order moments: Stable processes and their applications,” Proc. IEEE, vol. 81, pp. 986-1010, 1993.
12. G. A. Tsihrintzis and C. L. Nikias, “Fast estimation of the parameters of alpha-stable impulsive interference,” IEEE Trans. Signal Processing, under review.
13. J. Proakis, Digital Communications. New York: McGraw-Hill, 1983.
14. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes: The Art of Scientific Computing. 2nd ed. New York: Cambridge Univ. Press, 1992.
15. G. Samorodnitsky and M. S. Taqqu, Stable, Non-Gaussian Random Processes: Stochastic Models with Infinite Variance. New York: Chapman and Hall, 1994.
16. Handbook of Mathematical Functions, M. Abramowitz and I. A. Stegun, Eds. New York: Dover, 1965.