Skip to main content
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
1. H. Cox, “ Adaptive beamforming in non-stationary environments,” in Conference Record of the 36th Asilomar Conference (Pacific Grove, CA, 2002), pp. 431438.
2. I. M. Johnstone, “ On the distribution of the largest eigenvalue in principal component analysis,” Ann. Stat. 29, 295327 (2001).
3. Z. Bai and J. W. Silverstein, Spectral Analysis of Large Dimensional Random Matrices, 2nd ed. (Springer, New York, 2010).
4. S. Lee, F. Zou, and F. A. Wright, “ Convergence and prediction of principal component scores in high-dimensional settings,” Ann. Stat. 38, 36053629 (2010).
5. F. Benaych-Georges and R. R. Nadakuditi, “ The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices,” Elsevier Adv. Math. 227, 494521 (2011).
6. R. R. Nadakuditi and A. Edelman, “ Sample eigenvalue based detection of high-dimensional signals in white noise using relatively few samples,” IEEE Trans. Signal Process. 56, 26252638 (2008).
7. M. Pajovic, J. C. Preisig, and A. B. Baggeroer, “ MSE of diagonally loaded capon beamformer-based power spectrum estimator in snapshot deficient regime,” in Conference Record of the 46th Asilomar Conference (Pacific Grove, CA, 2012), pp. 207211.
8. K. E. Wage and J. R. Buck, “ Performance analysis of dominant mode rejection beamforming,” in Proceedings of the 20th International Congress in Acoustics, Sydney, Australia (2010), pp. 16.
9. X. Mestre and M. A. Lagunas, “ Modified subspace algorithms for DoA estimation with large arrays,” IEEE Trans. Signal Process. 56, 598614 (2008).
10. S. Jung, A. Sen, and J. S. Marron, “ Boundary behavior in high dimension, low sample size asymptotics of PCA,” J. Multivar. Anal. 109, 190203 (2012).
11. H. L. Van Trees, Optimum Array Processing (Wiley-Interscience, New York, 2002).
12. V. K. Rohatgi, An Introduction to Probability Theory and Mathematical Statistics (Wiley Series in Probability and Mathematical Statistics, New York, 1976).
13. D. A. Abraham and N. L. Owsley, “ Beamforming with dominant mode rejection,” in Proceedings of OCEANS '90. Engineering in the Ocean Environment, pp. 470475.

Data & Media loading...


Article metrics loading...



In sonar array processing, a challenging problem is the estimation of the data covariance matrix in the presence of moving targets in the water column, since the time interval of data local stationarity is limited. This work describes an eigenvector-based method for proper data segmentation into intervals that exhibit local stationarity, providing data-driven higher bounds for the number of snapshots available for computation of time-varying sample covariance matrices. Application of the test is illustrated with simulated data in a horizontal array for the detection of a quiet source in the presence of a loud interferer.


Full text loading...


Access Key

  • FFree Content
  • OAOpen Access Content
  • SSubscribed Content
  • TFree Trial Content
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd