Multipath model selection for UWB channels

ICUWB2006: 2006 IEEE International Conference on Ultra-Wideband - Proceedings

Volumn , Issue , 2006, Pages 85-89

  Wong, Tan F ^a   Lee, Thomas C M ^b  

^a UNIVERSITY OF FLORIDA   (United States)

^b Department of Ecosystem Science and Sustainability   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; MULTIPATH PROPAGATION; NUMERICAL METHODS;

MODEL SELECTION; UWB CHANNELS;

CHANNEL ESTIMATION;

EID: 41649086410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICU.2006.281520     Document Type: Conference Paper

References (18)

1. A. Molisch, "Ultrawideband propagation channels - theory, measurement, and modeling," IEEE Trans. Veh. Techno., vol. 54, pp. 1528-1545, Sep. 2005.
2. P. A. Bello, "Characterization of randomly time-variant linear channels," IEEE Trans. Commun., vol. 11, pp. 360-393, Dec. 1963.
3. R. J. Cramer, R. A. Scholtz, and M. Z. Win, "Evaluation of an ultra-wideband propagation channel," IEEE Trans. Antennas Propagat., vol. 50, pp. 561-570, May 2002.
4. A. H. Muqaibel, "Characterization of ultra wideband communication channels," Ph.D. dissertation, Virginia Polytechnic Institute and State University, Mar. 2003.
5. R. D. Wilson and R. A. Scholtz, "Template estimation in ultra-wideband radio," in Proc. 37th Asilomar Conf. Signals, Systems and Computers, vol. 2, Nov. 2003, pp. 1244-1248.
6. R. G. Vaughan and N. Scott, "Super-resolution of pulsed multipath channels for delay spread characterization," IEEE Trans. Commun., vol. 47, pp. 343-347, Mar. 1999.
7. A. F. Molisch, J. Foerster, and M. Pendergrass, "Channel models for ultrawideband personal area networks," IEEE Wireless Commun., pp. 14-21, Dee. 2003.
8. U. G. Schuster and H. Bolcskei, "Ultrawideband channel modeling on the basis of information-theoretic criteria," IEEE Trans. Wireless Commun., 2006, to appear.
9. M. Z. Win and R. A. Scholtz, "On the energy capture of ultra-wide bandwidth signals in dense multipath environments," IEEE Comnmn. Lett., vol. 2, pp. 245-247, Sep. 1998.
10. H. Akaike, "A new look at the, statistical model identification," IEEE Transactions on Automatic Control, vol. 19, pp. 716-723, 1974.
11. G. Schwarz, "Estimating the dimension of a model," The Annals of Statistics, vol. 6, pp. 461-464, 1978.
12. J. Rissanen, Stochastic, Complexity in Statistical Inquiry. World Scientific, Singapore, 1989.
13. M. H. Hansen and B. Yu, "Model selection and the principle of minimum description length," Journal of the American Statistical Association, vol. 96, pp. 746-774, 2001.
14. T. C. M. Lee, "An introduction to coding theory and the two-part minimum description length principle," International Statistical Review, vol. 69, pp. 169-183, 2001.
15. L. Davis, Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York, 1991.
16. D. B. Fogel, "Evolutionary computing;" IEEE Spectrum, pp. 26-32, 2000.
17. R. A. Davis, T. G M. Lee, and G. A. Rodriguez-Yam, "Structural breaks estimation for non-stationary time series models," Journal of the American Statistical Association, 2005, to appear.
18. T. C M. Lee and T F. Wong, "Nonparametric log-spectrum estimation using disconnected regression splines and genetic algorithms," Signal Processing, vol. 83, pp. 79-90, 2003.