Closed-form multiple invariance ESPRIT

  • Authors:
  • Yougen Xu;Zhiwen Liu

  • Affiliations:
  • Department of Electronic Engineering, Beijing Institute of Technology, Beijing, People's Republic of China 100081;Department of Electronic Engineering, Beijing Institute of Technology, Beijing, People's Republic of China 100081

  • Venue:
  • Multidimensional Systems and Signal Processing
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.