Optimal waveform design for cognitive radar

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2008, Pages 3-7

  Haykin, Simon ^a   Xue, Yanbo ^a   Davidson, Timothy N ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Autocorrelation; Cognitive radar; Convex optimization; Interior point method (IPM); Spectral factorization; Waveform design

Indexed keywords

ADAPTATION METHODS; COGNITIVE RADAR; CONVEX OPTIMIZATION PROBLEMS; DETECTION PERFORMANCE; ESTIMATION PERFORMANCE; FINITE LENGTH; GAUSSIANS; INTERIOR POINT METHODS; INTERIOR-POINT METHOD (IPM); KEY COMPONENT; MUTUAL INFORMATIONS; PERFORMANCE OBJECTIVE; SPECTRAL FACTORIZATION; TRANSMITTED SPECTRA; WAVE FORMS; WAVEFORM DESIGN; WAVEFORM DESIGNS;

ACOUSTIC INTENSITY; CORRELATION DETECTORS; DESIGN; FACTORIZATION; OPTIMIZATION; PERMANENT MAGNETS; QUADRATIC PROGRAMMING; RADAR SYSTEMS; SIGNAL TO NOISE RATIO; TARGETS; WAVEFORM ANALYSIS;

CONVEX OPTIMIZATION;

EID: 70349669287     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2008.5074349     Document Type: Conference Paper

References (17)

1. M. I. Skolnik (ed.), Radar Handbook, 3rd Edition, McGraw Hill, 2008.
2. A. V. Oppenheim, R. W. Schafer and J. R. Buck, Discrete-Time Signal Processing, 2nd Edition, Prentice Hall, 2000.
3. S. Haykin, Neural Networks and Learning Machines, Prentice Hall, 2008.
4. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004.
5. S. Haykin, Cognitive Dynamic Systems, book under preparation.
6. J. A. Thomas, C. F. Moss, and M. Vater, Echolocation in Bats and Dolphins, The University of Chicago Press, 2004.
7. S. Haykin,"Cognitive radar: A way of the future," IEEE Signal Processing Mag., vol. 23, no. 1, pp. 30-40, Jan. 2006.
8. M. R. Bell, "Information theory and radar waveform," IEEE Trans. Inf. Theory, vol. 39, no. 5, pp. 1578-1597, Sept. 1993.
9. Y. Yang and R. Blum, "MIMO radar waveform design based on mutual information and minimum mean-square error estimation", IEEE Trans. Aerosp. Electron. Syst., vol. 43, no. 1, pp. 330-343, Jan. 2007.
10. S. P. Wu, S. Boyd, and L. Vandenberghe, "FIR filter design via semidefinite programming and spectral factorization," in Proc. IEEE Conf. Decision & Control, Kobe, Japan, Dec. 1996, pp. 271-276.
11. S. P. Wu, S. Boyd, and L. Vandenberghe, "FIR filter design via spectral factorization and convex optimization," in B. Datta (ed.), Appl. & Comput. Control, Signals & Circuits, vol. 1, Birkhauser, May 1999.
12. T. N. Davidson, Z. Q. Luo, and K. M. Wong, "Design of orthogonal pulse shapes for communications via semidefinite programming," IEEE Trans. Signal Processing, vol. 48, no. 5, pp. 1433-1445, May 2000.
13. T. N. Davidson, "Efficient design of waveforms for robust pulse amplitude modulation," IEEE Trans. Signal Processing, vol. 49, no. 12, pp. 1433-1445, Dec. 2001.
14. D. T. Gjessing, Target adaptive matched illumination: Radar principles and applications, Peter Peregrinus, 1986.
15. Y. Xue, "A Novel Optimal Waveform Design Method", Technical Report, Cognitive Systems Laboratory, McMaster University, Jan 2007.
16. T. N. Davidson, Z.-Q. Luo and J. F. Sturm, "Linear matrix inequality formulation of spectral mask constraints with applications to FIR filter design", IEEE Trans. Signal Processing, vol. 50, no. 11, pp. 2702-2715, Nov. 2002.
17. T. N. T. Goodman, C. A. Micchelli, G. Rodriguez, and S. Seatzu, "Spectral factorization of Laurent polynomials," Adv. Comput. Math., vol. 7, no. 4, pp. 429-454, 1997.