Multicomponent chirp signals analysis using product cubic phase function

Digital Signal Processing: A Review Journal

Volumn 16, Issue 6, 2006, Pages 654-669

  Wang, Pu ^a   Yang, Jianyu ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Chirp signal; Cubic phase function; Parameter estimation

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; PARAMETER ESTIMATION; PHASE MEASUREMENT; POLYNOMIALS; STATISTICAL METHODS;

CHIRP SIGNALS; CUBIC PHASE FUNCTION (CPF); IDENTIFIABILITY PROBLEMS; PRODUCT CUBIC PHASE FUNCTION (PCPF);

DIGITAL SIGNAL PROCESSING;

EID: 33751185563     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2006.09.002     Document Type: Article

References (17)

1. Cohen L. Time-Frequency Analysis (1995), Prentice Hall, Englewood Cliffs, NJ
2. Hlawatsch F., and Boudreaux-Bartels G.F. Linear and quadratic time-frequency signal representations. IEEE SPIE Mag. 9 (1992) 21-67
3. Djuric P.M., and Kay S.M. Parameter estimation of chirp signals. IEEE Trans. Signal Process. 38 (1990) 2118-2126
4. Abotzoglou T. Fast maximum likelihood joint estimation of frequency and frequency rate. IEEE Trans. Acoust. Speech Signal Process. 22 (1986) 708-715
5. Xia X.-G. Discrete Chirp-Fourier transform and its application to chirp rate estimation. IEEE Trans. Signal Process. 48 (2000) 3122-3133
6. Peleg S., and Friedlander B. The discrete polynomial phase transform. IEEE Trans. Signal Process. 43 (1995) 1901-1914
7. Peleg S., and Friedlander B. Multicomponent signal analysis using the polynomial-phase transform. IEEE Trans. Aerospace Electron. Syst. 32 (1996) 378-387
8. Wang M., Chan A.K., and Chui C.K. Linear frequency-modulated signal detection using radon-ambiguity transform. IEEE Trans. Signal Process. 46 (1998) 571-586
9. Akay O., and Boudreaux-Bartels G.F. Fractional convolution and correlation via operator methods and application to detection of linear FM signals. IEEE Trans. Signal Process. 49 (2001) 979-993
10. Almeida L.B. The fractional Fourier transform and time-frequency representations. IEEE Trans. Signal Process. 42 (1994) 3084-3091
11. O'Shea P. A new technique for instantaneous frequency rate estimation. IEEE Signal Process. Lett. 8 (2002) 251-252
12. O'Shea P. A fast algorithm for estimating the parameters of a quadratic FM signal. IEEE Trans. Signal Process. 52 (2004) 385-393
13. Barbarossa S., Scaglione A., and Giannakis G.B. Product high-order ambiguity function for multicomponent polynomial-phase signal modeling. IEEE Trans. Signal Process. 46 (1998) 691-708
14. Ikram M.Z., and Zhou G.T. Estimation of multicomponent polynomial phase signals of mixed orders. Signal Process. 81 (2001) 2293-2308
15. G.T. Zhou, M.Z. Ikram, Unsupervised detection and parameter estimation of multicomponent sinusoidal signals in noise, in: Proceedings of the 34th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2000, pp. 842-846
16. Peleg S., and Porat B. Linear FM signal parameter estimation from discrete-time observations. IEEE Trans. Aerospace Electron. Syst. 27 (1991) 607-614
17. Johnson R.A. Miller & Freund's Probability and Statistics for Engineers (2004), Prentice Hall, Englewood Cliffs, NJ