Estimation and Classification of Polynomial-Phase Signals

IEEE Transactions on Information Theory

Volumn 37, Issue 2, 1991, Pages 422-430

  Porat, Boaz ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL TECHNIQUES - POLYNOMIALS; MATHEMATICAL TRANSFORMATIONS; NOISE, SPURIOUS SIGNAL; SIGNAL PROCESSING - CLASSIFICATION; SPECTRUM ANALYSIS;

ADDITIVE NOISE; POLYNOMIAL-PHASE SIGNALS; RADAR SIGNALS; SIGNAL PARAMETER ESTIMATION;

RADAR;

EID: 0026119775     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/18.75269     Document Type: Article

References (8)

1. W. Rudin, Principles of Mathematical Analysis, 3rd ed. New York: McGraw-Hill, 1976.
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3. H. Taub and D. L. Schilling, Principles of Communication Systems. New York: McGraw-Hill, 1986.
4. D. C. Rife and R. R. Boorstyn, “Single tone parameter estimation from discrete-time observations,” IEEE Trans. Inform. Theory, vol. IT-20, no. 5, pp. 591–598, Sept. 1974.
5. T. A. C. M. Claasen and W. F. G. Mecklenbrauker, “The Wigner distribution for time-frequency signal analysis, Part I—Continuous time signals,” Philips J. Res., vol. 35, pp. 217–250, 1980.
6. S. Peleg and B. Porat, “The Cramer-Rao lower bound for signals with constant amplitude and polynomial phase,” IEEE Trans. Acoust. Speech and Signal Processing, to appear, April 1991.
7. W. Feller, An Introduction to Probability Theory and its Applications. New York: John Wiley 1968.
8. S. Peleg and B. Porat, “Linear FM parameter estimation from discrete time observations,” IEEE Trans. Aerospace Electron. Syst., to appear, July 1991.