Real-time SVM-based approach for localization of sources

2004 IEEE International Workshop on Imaging Systems and Techniques, IST

Volumn , Issue , 2004, Pages 2-6

  Pastorino, M ^a   Randazzo, A ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Antenna arrays; Direction of arrival estimation; Regression; Support vector machines

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ELECTROMAGNETIC WAVES; ERROR ANALYSIS; IMAGING SYSTEMS; PATTERN RECOGNITION; REGRESSION ANALYSIS; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO;

DIRECTION OF ARRIVAL ESTIMATION; ELECTROMAGNETIC SIGNALS; SUPPORT VECTOR MACHINES (SVM); SUPPORT VECTOR REGRESSION (SVR);

ANTENNA ARRAYS;

EID: 15844417955     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. R. O. Schmidt, "Multiple emitter location and signal parameter estimation," IEEE Trans. Antennas Propagat., vol. AP-34, pp. 276-280, Mar. 1986.
2. A. H. El Zooghby, C. G. Christodoulou, and M. Georgiopoulos, "Performance of radial-basis function network for direction arrival estimation with antenna arrays," IEEE Trans. Antennas Propagat., vol. 45, pp. 1611-1617, Nov. 1997.
3. A. H. El Zooghby, C. G. Christdoulou, and M. Georgiopoulos, "A neural network-based smart antenna for multiple source tracking," IEEE Trans. Antennas Propagat., vol. 48, pp. 768-776, May 2000.
4. V. Vapnik and A. Lerner, "Pattern recognition using generalized portrait method," Automation and Remote Control," vol. 24, 1963.
5. V. Vapnik, Statistical learning theory. New York: Wiley, 1998.
6. S. Mukherjee, E. Osuna, and F. Girosi, "Nonlinear prediction of chaotic time series using a support vector machine," Proc. NNSP, pp. 24-26, 1997.
7. V. Vapnik, S. Golowich, and A. J. Smola, "Support vector method for junction approximation, regression estimation, and signal processing," Neural Information Processing Systems, Cambridge, MA: MIT Press, 1997, vol. 9.
8. A. J. Smola and B. Scholkopf, "A tutorial on support vector regression," Royal Holloway College, London, U.K., Neuro COLT Tech. Rep. TR-1998-030, 1998.
9. V. Cherkassky and Y. Ma, "Pratical Selection of SVM Parameters and Noise Estimation for SVM Regression," Neural Networks, vol. 17, no. 1, pp. 113-126, Jan. 2004.