Accession Number:

ADA503673

Title:

Low-Complexity Method of Weighted Subspace Fitting for Direction Estimation

Descriptive Note:

Conference paper

Corporate Author:

XIDIAN UNIV XI'AN (CHINA)

Personal Author(s):

Report Date:

2005-05-01

Pagination or Media Count:

7.0

Abstract:

In this paper, we consider a low-complexity method of weighted subspace fitting WSF for direction-of-arrival DOA estimation. With the properties of the multi-stage wiener filter MSWF, we derive a novel criterion function for the WSF method without the estimate of an array covariance matrix and its eigen-decomposition. A new approach for noise variance estimation is also proposed. Numerical results indicate that by selecting a specific weighting matrix, the low-complexity WSF estimator can provide the comparable estimation performance with the conventional WSF method.

Subject Categories:

  • Numerical Mathematics
  • Statistics and Probability
  • Direction Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE