Analytical performance evaluation for HOSVD-based parameter estimation schemes

CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Volumn , Issue , 2009, Pages 77-80

  Roemer, Florian ^a   Becker, Hanna ^a   Haardt, Martin ^a   Weis, Martin ^a  

^a ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

ESPRIT; HOSVD; Perturbation analysis

Indexed keywords

ANALYTICAL PERFORMANCE; ANALYTICAL RESULTS; DOMINANT MULTIPATH; ESTIMATION SCHEMES; FIRST ORDER; HARMONIC RETRIEVAL; HIGH RESOLUTION; HIGHER ORDER; MATRIX; MEASUREMENT MATRIX; MIMO CHANNEL; MULTI-DIMENSIONAL STRUCTURE; PERFORMANCE ANALYSIS; PERFORMANCE ASSESSMENT; PERTURBATION ANALYSIS; SIGNAL PROCESSING APPLICATIONS; SIGNAL SUB-SPACE; SIMULATION RESULT; TENSOR-ESPRIT;

MEDICAL IMAGING; METAL ANALYSIS; PARAMETER ESTIMATION; RADAR IMAGING; SECURITY OF DATA; SENSORS; SIGNAL ANALYSIS; SIGNAL PROCESSING; TECHNICAL PRESENTATIONS; TENSORS; UNDERWATER ACOUSTICS;

SINGULAR VALUE DECOMPOSITION;

EID: 77951142158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CAMSAP.2009.5413232     Document Type: Conference Paper

References (11)

1. L. de Lathauwer, B. de Moor, and J. Vanderwalle, "A multilinear singular value decomposition", SIAM J. Matrix Anal. Appl., vol.21, no.4, 2000.
2. B. Friedlander and A. Weiss, "On the second-order statistics of the eigenvectors of sample covariance matrices", IEEE Transactions on Signal Processing, vol.46, no.11, pp. 3136-3139, Nov. 1998.
3. M. Haardt, F. Roemer, and G. Del Galdo, "Higher-order SVD based subspace estimation to improve the parameter estimation accuracy in multi-dimensional harmonic retrieval problems", IEEE Transactions on Signal Processing, vol.56, pp. 3198-3213, July 2008.
4. M. Haardt, R. S. Thomä, and A. Richter, "Multidimensional high-resolution parameter estimation with applications to channel sounding", in High-Resolution and Robust Signal Processing, Y. Hua, A. Gershman, and Q. Chen, Eds., pp. 255-338. Marcel Dekker, New York, NY, 2004, Chapter 5.
5. F. Li, H. Liu, and R. J. Vaccaro, "Performance analysis for DOA estimation algorithms: Unification, simplifications, and observations", IEEE Transactions on Aerospace and Electronic Systems, vol.29, no.4, pp. 1170-1184, Oct. 1993.
6. J. Liu, X. Liu, and X. Ma, "First-order perturbation analysis of singular vectors in singular value decomposition", IEEE Transactions on Signal Processing, vol.56, no.7, pp. 3044-3049, July 2008.
7. X. Liu, N. D. Sidiropoulos, and A. Swami, "Blind high-resolution localization and tracking of multiple frequency hopped signals", IEEE Transactions on Signal Processing, vol.50, no.4, pp. 889-901, Apr. 2002.
8. F. Roemer, M. Haardt, and G. Del Galdo, "Higher order SVD based subspace estimation to improve multi-dimensional parameter estimation algorithms", in Proc. 40th Asilomar Conf. on Signals, Systems, and Computers, pp. 961-965, Pacific Grove, CA, Nov. 2006.
9. P. Stoica and A. Nehorai, "MUSIC, maximum likelihood, and Cramér-Rao bound", IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, pp. 720-741, May 1989.
10. R. J. Vaccaro, "A second-order perturbation expansion for the SVD", SIAMJ.Matrix Anal. Appl., vol.15, no.2, pp. 661-671, Apr. 1994.
11. Z. Xu, "Perturbation analysis for subspace decomposition with applications in subspace-based algorithms", IEEE Transactions on Signal Processing, vol.50, no.11, pp. 2820-2830, Nov. 2002.