Modified IQML and weighted subspace fitting without eigendecomposition

Signal Processing

Volumn 79, Issue 1, 1999, Pages 29-44

  Kristensson, Martin ^a   Jansson, Magnus ^a   Ottersten, Björn ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; EIGENVALUES AND EIGENFUNCTIONS; ERROR ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION; SENSORS;

EIGENDECOMPOSITION; WEIGHTED SUBSPACE FITTING (WSF);

SIGNAL FILTERING AND PREDICTION;

EID: 0033355541     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(99)00078-X     Document Type: Article

References (25)

1. J. Ayadi, E. de Carvalho, D.T. Slock, Blind and semi-blind maximum likelihood methods for FIR multichannel identification, in: Proc. Internat. Conf. Acoust. Speech Signal Process. (ICASSP), Seattle, Washington, USA, May 1998, pp. 3185-3188.
2. J.F. Böhme, Estimation of source parameters by maximum likelihood and nonlinear regression, in: Proc. IEEE Internat. Conf. Acoust. Speech Signal Process. (ICASSP), San Diego, California, March 1984, Vol. 1, pp. 7.3.1-7.3.4.
3. Bresler Y., Macovski A. Exact maximum likelihood parameter estimation of superimposed exponential signals in noise. IEEE Trans. Acoust. Speech Signal Process. 34(5):October 1986;1081-1089.
4. G.H. Golub, C.F. van Loan, Matrix Computations, third edition, The John Hopkins University Press, Baltimore, 1989.
5. A. Graham, Kronecker Products and Matrix Calculus with Applications, Ellis Horwood Ltd, 1981.
6. Hua Y. The most efficient implementation of the IQML algorithm. IEEE Trans. Signal Process. 42(8):August 1994;2203-2204.
7. M. Kahn, M.S. Mackisack, M.R. Osborne, G.K. Smyth, On the consistency of Prony's method and related algorithms, Journal on Computational and Graphical Statistics 1 (1992) 329-349.
8. Kumaresan R., Scharf L.L., Shaw A.K. An algorithm for pole-zero modeling and spectral analysis. IEEE Trans. Acoust. Speech Signal Process. ASSP-34(3):June 1986;637-640.
9. R. Kumaresan, A.K. Shaw, High resolution bearing estimation without eigen decomposition, in: IEEE Internat. Conf. Acoust. Speech Signal Process. (ICASSP), Tampa, Florida, March 1985, Vol. 2, pp. 576-579.
10. L. Ljung, System Identification: Theory for the User, first edition, Prentice Hall, 1987.
11. Nagesha V., Kay S. On frequency estimation with the IQML algorithm. IEEE Trans. Signal Process. 42(9):September 1994;2509-2513.
12. Nehorai A., Starer D. Adaptive pole estimation. IEEE Trans. Acoust. Speech Signal Process. 38(5):May 1990;825-838.
13. Osborne M.R., Smyth G.K. A modified Prony algorithm for exponential function fitting. SIAM Journal on Scientific Computing. 16(1):January 1995;119-138.
14. B. Ottersten, M. Viberg, P. Stoica, A. Nehorai, Exact and large sample ML techniques for parameter estimation and detection in array processing, in: Radar Array Processing. Springer, New York, USA, 1993, pp. 99-151.
15. Roy R.H. ESPRIT - a subspace rotation approach to estimation of parameters of cisoids in noise. IEEE Trans. Acoust. Speech Signal Process. ASSP-34(5):October 1986;1340-1342.
16. R.O. Schmidt, A signal subspace approach to multiple emitter location and spectral estimation, PhD thesis, Stanford University, November 1981.
17. T. Söderström, P. Stoica, System Identification, Prentice Hall International, 1989.
18. Söderström T., Stoica P. Accuracy of high-order Yule-Walker methods for frequency estimation of complex sine waves. IEE Proc. F, Radar and Signal Process. 140(1):February 1993;71-80.
19. Stoica P., Li J., Söderström T. On the inconsistency of IQML. Signal Processing. 56(2):January 1997;185-190.
20. Stoica P., Nehorai A. Performance study of conditional and unconditional direction-of-arrival estimation. IEEE Trans. Acoust. Speech Signal Process. 38(10):October 1990;1783-1795.
21. Stoica P., Sharman K.C. Novel eigenanalysis method for direction estimation. in: IEE Proc. F. Radar and Signal Process. 137(1):February 1990;19-26.
22. A.L. Swindlehurst, An alternative algorithm for maximum likelihood DOA estimation and detection, in: IEE Proc. F. Radar and Signal Process., December 1994.
23. Viberg M., Ottersten B. Sensor array processing based on subspace fitting. IEEE Trans. Signal Process. 39(5):May 1991;1110-1121.
24. Wax M., Ziskind I. On unique localization of multiple sources by passive sensor arrays. IEEE Trans. Signal Process. 37(7):July 1989;996-1000.
25. Ziskind I., Wax M. Maximum likelihood localization of multiple sources by alternating projection. IEEE Trans. Acoust. Speech Signal Process. 36(10):October 1988;1553-1560.