Statistical Analysis of a High Resolution Spatial Spectrum Estimator Utilizing an Augmented Covariance Matrix

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 35, Issue 11, 1987, Pages 1517-1523

  Unnikrishna Pillai, S ^a   Haber, Fred ^b  

^a POLYTECHNIC UNIVERSITY   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RADAR - PERFORMANCE; SONAR - PERFORMANCE;

AUGMENTED COVARIANCE MATRIX; SPECTRUM ESTIMATOR; STATISTICAL ANALYSIS;

SIGNAL PROCESSING;

EID: 0023455987     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASSP.1987.1165068     Document Type: Note

References (13)

1. S.U. Pillai, Y. Bar-Ness, and F. Haber, “A new approach to array geometry for improved spatial spectrum estimation,” Proc. IEEE, vol. 73, 10, pp. 1522–1524, Oct. 1985.
2. A.T. Moffett, “Minimum redundancy linear arrays,” IEEE Trans. Antennas Propagat., vol. AP-16, pp. 172–175, Mar. 1968.
3. R.O. Schmidt, “A signal subspace approach to emitter location and spectral estimation,” Ph.D. dissertation, Stanford Univ., Stanford, CA, Nov. 1981.
4. T.W. Anderson, An Introduction to Multivariate Statistical Analysis, 2nd ed. New York: Wiley, 1984.
5. J. Wishart, “The generalized product moment distribution in samples from a normal multivariate population,” Biometrica, vol. 20A, pp. 32–52 [7.2]., 1928.
6. N.R. Goodman, “Statistical analysis based on a certain multivariate complex Gaussian distribution (An introduction),” Ann. Math. Stat., vol. 34, pp. 152–177, Mar. 1963.
7. M.S. Bartlett, “Periodogram analysis and continuous spectra,” Biometrica, vol. 37, pp. 1–16, 1950.
8. J. Capon and N.R. Goodman, “Probability distributions for estimators of the frequency-wavenumber spectrum,” Proc. IEEE, vol. 58, pp. 1785–1786, Oct. 1970.
9. A.B. Baggeroer, “Confidence intervals for regression (MEM) spectral estimates,” IEEE Trans. Inform. Theory, vol. IT-22, pp. 534–545, Sept. 1976.
10. G. Bienvenu and L. Kopp, “Optimality of high resolution array processing using the eigensystem approach,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-31, pp. 1235–1248, Oct. 1983.
11. D.W. Tufts and R. Kumaresan, “Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihood,” Proc. IEEE, vol. 70, pp. 975–989, 1982.
12. S.U. Pillai, “A vector space approach to spatial spectrum estimation,” Ph.D. dissertation, Univ. Pennsylvania, Philadelphia (Sec. 4.5.2), Sept. 1985.
13. A. Papoulis, Probability, Random Variables and Stochastic Processes, 1st ed. New York: McGraw-Hill, 1967, pp. 227–228.