Adaptive detection with time series models

IEE Conference Publication

Volumn , Issue 490, 2002, Pages 449-453

  De Waele, S ^a   Broersen, P M T ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DIFFERENCE EQUATIONS; DOPPLER RADAR; FREQUENCY DOMAIN ANALYSIS; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; RADAR CLUTTER; RANDOM PROCESSES; SPECTRUM ANALYSIS; TIME SERIES ANALYSIS;

ADAPTIVE DETECTION; COMBINED INFORMATION CRITERION; KULLBACK-LEIBLER DISCREPANCY; TIME SERIES MODELS;

RADAR TARGET RECOGNITION;

EID: 0036998966     PISSN: 05379989     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/cp:20020326     Document Type: Conference Paper

References (13)

1. Vincent Poor, H., 1988, "An introduction to signal detection and estimation", Springer, New York.
2. Haykin, S., 1985, "Radar signal processing", IEEE ASSP Magazine, April, 2-18.
3. Sheikhi, A., Nayebi, M. M. and Aref, M. R., 1998, "Adaptive detection algorithm for radar signals in autoregressive inference", IEE Proc.-Radar, Sonar Navig., 145, 309-314.
4. Priestley M. B., 1981, "Spectral analysis and time series", London, Ac. Press.
5. Broersen, P. M. T., 2002, "Automatic spectral analysis with time series models", IEEE Trans. Instr. Meas., 51, 211-216.
6. De Waele, S. and Broersen, P. M. T., 2000, "Modeling radar data with time series models", Proc. EUSIPCO 2000 Conf., 1-4.
7. Basseville, M., 1989, "Distance measures for signal processing and pattern recognition", Signal Processing, 18, 349-369.
8. Kullback, 1959, "Information theory and statistics", J. Wiley & Sons, London.
9. Broersen P. M. T., 1998, "The quality of models for ARMA processes", IEEE Trans. Signal Proc., 46, 1749-1752.
10. Broersen P. M. T. and De Waele, S., 2000, "Detection of methacholine with time series models of lung sounds", IEEE Trans. Instr. Meas., 49, June 2000.
11. Akaike, H., 1974, "A new look at statistical model identification", IEEE Trans. Automat. Contr., AC-19, 716-723.
12. De Waele, S. and Broersen, P. M. T., 2000, "The Burg algorithm for segments", IEEE Trans. Signal Proc., 48, 2876-2880.
13. Haykin S. ed., 1979, "Nonlinear Methods of Spectral Analysis", Berlin, Springer-Verlag.