Discrete chirp-Fourier transform and its application to chirp rate estimation

IEEE Transactions on Signal Processing

Volumn 48, Issue 11, 2000, Pages 3122-3133

  Xia, Xiang Gen ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DIGITAL SIGNAL PROCESSING; FREQUENCIES; RADAR IMAGING; SIGNAL TO NOISE RATIO; SYNTHETIC APERTURE RADAR;

CHIRP FOURIER TRANSFORM; CHIRP RATE ESTIMATION; RADAR SIGNAL PROCESSING;

DISCRETE FOURIER TRANSFORMS;

EID: 0034324497     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.875469     Document Type: Article

References (18)

1. D. R. Wehner, High-Resolution Radar, 2nd ed. Norwell, MA: Artech House, 1995.
2. S. Peleg and B. Porat, "Estimation and classification of signals with polynomial phase,"IEEE Trans. Inform. Theory, vol. 37, pp. 422-430, 1991.
3. B. Porat, Digital Processing of Random Signals, Theory and Methods. Englewood Cliffs, NJ: Prentice-Hall, 1994.
4. S. Peleg and B. Friedlander, "The discrete polynomial-phase transform,"IEEE Trans. Signal Processing, vol. 43, pp. 1901-1914, Aug. 1995.
5. T. J. Abatzoglou, "Fast maximum likelihood joint estimation of frequency and frequency rate,"IEEE Trans. Aerosp. Electron. Syst., vol. AES-22, pp. 708-715, Nov. 1986.
6. S. Peleg and B. Porat, "The Cramer-Rao lower bound for signals with constant amplitude and polynomial phase,"IEEE Trans. Signal Processing, vol. 39, pp. 749-752, Mar. 1991.
7. R. Kumaresan and S. Verma, "On estimating the parameters of chirp signals using rank reduction techniques,"in Proc. 21st Asilomar Conf. Signals, Syst., Comput., Pacific Grove, CA, 1987, pp. 555-558.
8. P. M. Djuric and S. M. Kay, "Parameter estimation of chirp signals,"IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, pp. 2118-2126, Dec. 1990.
9. M. Z. Ikram, K. Abed-Meraim, and Y. Hua, "Estimating the parameters of chirp signals: An iterative approach,"IEEE Trans. Signal Processing, vol. 46, pp. 3436-3441, Dec. 1998.
10. S. Qian, D. Chen, and Q. Yin, "Adaptive chirplet based signal approximation,"in Proc. ICASSP, Seattle, WA, 1998.
11. G. Wang and Z. Bao, "ISAR imaging of maneuvering targets based on chirplet decomposition," , to be published.
12. L. R. Rabiner, R. W. Schafer, and C. M. Rader, "The chirp z-transform algorithm and its applications,"Bell Syst. Tech. J., vol. 48, pp. 1249-1292, May-June 1969.
13. V. Namias, "The fractional order Fourier transform and its application to quantum mechanics,"J. Inst. Math. Appl., vol. 25, pp. 241-265, 1980.
14. A. C. McBride and F. H. Kerr, "On Namias' fractional Fourier transforms," 1MA J. Appl. Math., vol. 39, pp. 150-175, 1987.
15. L. B. Almeida, "The fractional Fourier transform and time-frequency representations,"IEEE Trans. Signal Processing, vol. 42, pp. 3084-3091, Nov. 1994.
16. A. W. Lohmann, "Image rotation, Wigner rotation and the fractional Fourier transform,"J. Opt. Soc. Amer. A, vol. 10, pp. 2181-2186, 1993.
17. D. Mendlovic and H. M. Ozaktas, "Fractional Fourier transformations and their optical implementation: I,"J. Opt. Soc. Amer. A, vol. 10, pp. 1875-1881, 1993.
18. I. N. Bronshtein and K. A. Semendyayev, Handbook of Mathematics. New York: Van Nostrand Reinhold, 1985.