Closed-form multiple invariance ESPRIT

Multidimensional Systems and Signal Processing - Tập 18 - Trang 47-54 - 2007
Yougen Xu1, Zhiwen Liu1
1Department of Electronic Engineering, Beijing Institute of Technology, Beijing, People's Republic of China

Tóm tắt

The multi-least-squares fitting and regularization formulations of the Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) problem are herein presented to provide a new framework for developing the closed-form multiple invariance ESPRIT (MI-ESPRIT) algorithm. The resulting two closed-form MI-ESPRIT algorithms incorporate all invariances in arrays composed of several (more than one) equally translated identical subarrays, and maintain the computational advantage of the standard single invariance ESPRIT.

Tài liệu tham khảo

Roy R., Kailath T. (1989). ESPRIT—Estimation of signal parameters via rotational invariance techniques. IEEE Transactions on Acoustics Speech and Signal Processing 37(7): 984–995 Swindlehurst A.L., Ottersten B., Roy R., Kailath T. (1992). Multiple invariant ESPRIT. IEEE Transactions Signal Processing 40(4): 867–881 Hande P., Tong L. (2001). Signal parameter estimation via Cayley–Hamilton constraint. IEEE Signal Processing Letters 8(4): 110–113 Wong, K. T., & Zoltowski, M. D. (1997). Closed-form multi-dimensional multi-invariance ESPRIT. In Proceedings. ICASSP, Munich, Germany, pp. 3489–3492. Wong K.T., Chi H. (2002). Beam patterns of an underwater acoustic vector hydrophone located away from any reflecting boundary. IEEE Journal of Oceanic Eng 27(3): 628–637 Swindlehurst A.L., Stoica P., Jansson M. (2001). Exploiting arrays with multiple invariances using MUSIC and MODE. IEEE Transactions on Signal Processing 49(11): 2511–2521 Yu S.J., Lee J.H., (1999). Efficient eigenspace-based array signal processing using multiple shift-invariant subarrays. IEEE Transactions on Antennas Propagation 47(1): 186–194