Statistical performance analysis of MDL source enumeration in array processing

IEEE Transactions on Signal Processing

Volumn 58, Issue 1, 2010, Pages 452-457

  Haddadi, Farzan ^a   Malek Mohammadi, Mohammadreza ^a   Nayebi, Mohammad Mahdi ^a   Aref, Mohammad R ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Deterministic signal; Minimum description length (MDL); Performance analysis; Source enumeration

Indexed keywords

DETERMINISTIC SIGNALS; ENUMERATION TECHNIQUES; MINIMUM DESCRIPTION LENGTH; PERFORMANCE ANALYSIS; SIMULATION RESULT; STATISTICAL PERFORMANCE; STATISTICAL PERFORMANCE ANALYSIS; STOCHASTIC SIGNALS;

HYDROPHONES; PROBABILITY DENSITY FUNCTION; SIMULATORS; STOCHASTIC MODELS;

ARRAY PROCESSING;

EID: 72949110236     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2009.2028207     Document Type: Article

References (16)

1. M. Wax and T. Kailath, "Detection of signals by information theoretic criteria," IEEE Trans. Acoust., Speech, Signal Process., vol.ASSP-33, pp. 387-392, Apr. 1985.
2. A. P. Liavas, P. A. Regalia, and J. P. Delmas, "Blind channel approximation: Effective channel order determination," IEEE Trans. Signal Process., vol.47, no.12, pp. 3336-3344, Dec. 1999.
3. H. Wang and M. Kaveh, "On the performance of signal-subspace processing- Part I: Narrow-band systems," IEEE Trans. Acoust. Speech, Signal Process., vol.ASSP-34, pp. 1201-1209, Oct. 1986.
4. M. Kaveh, H. Wang, and H. Hung, "On the theoretical performance of a class of estimators of the number of narrow-band sources," IEEE Trans. Acoust. Speech, Signal Process., vol.ASSP-35, pp. 1350-1352, Sep. 1987.
5. Q. Zhang, K. M.Wong, P. C. Yip, and J. P. Reilly, "Statistical analysis of the performance of information theoretic criteria in the detection of the number of signals in array processing," IEEE Trans. Acoust., Speech, Signal Process., vol.37, no.10, pp. 1557-1567, Oct. 1989.
6. W. Xu and M. Kaveh, "Analysis of the performance and sensitivity of eigendecomposition-based detectors," IEEE Trans. Signal Process., vol.43, pp. 1413-1426, Jun. 1995.
7. A. P. Liavas and P. A. Regalia, "On the behavior of information theoretic criteria for model order selection," IEEE Trans. Signal Process., vol.49, no.8, pp. 1689-1695, Aug. 2001.
8. E. Fishler, M. Grossmann, and H. Messer, "Detection of signals by information theoretic criteria: General asymptotic performance analysis," IEEE Trans. Signal Process., vol.50, no.5, pp. 1027-1036, May 2002.
9. B. Ottersten, M. Viberg, and T. Kailath, "Analysis of subspace fitting and ML techniques for parameter estimation from sensor array data," IEEE Trans. Signal Process., vol.40, no.3, pp. 590-599, Mar. 1992.
10. D. R. Brillinger, Time Series: Data Analysis and Theory. New York: Holt, Rinehart, and Winston, 1975.
11. I. M. Johnstone, "On the distribution of the largest eigenvalue in principal component analysis," Ann. Statist., vol.29, no.2, pp. 295-327, 2001.
12. G. H. Golub and C. F. Van Loan, Matrix Computations. Baltimore, MD: The Johns Hopkins Univ. Press, 1989.
13. M. Kaveh and A. J. Barabell, "The statistical performance of the MUSIC and the minimum-norm algorithms in resolving plane waves in noise," IEEE Trans. Acoust., Speech, Signal Process., vol.ASSP-34, pp. 331-341, April 1986.
14. J. H.Wilkinson, The Algebraic Eigenvalue Problem. New York: Oxford Univ. Press, 1965.
15. D. Lawley, "Tests of significance for the latent roots of covariance and correlation matrices," Biometrika, vol.43, pp. 128-136, 1956.
16. K. M. Wong, Q. Zhang, J. P. Reilly, and P. C. Yip, "On information theoretic criteria for determining the number of signals in high resolution array processing," IEEE Trans. Acoust. Speech, Signal Process., vol.38, pp. 1959-1971, Nov. 1990.