## 3pUW1. Estimation of the the direction-of-arrival of the sources and the cross-spectral matrix of the noise without eigendecomposition.

### Session: Wednesday Afternoon, December 4

### Time: 2:04

**Author: S. Bourennane**

**Location: BP 52, CMCS URA 2053 CNRS, 20250 Corte, France**

**Author: M. Frikel**

**Location: BP 52, CMCS URA 2053 CNRS, 20250 Corte, France**

**Abstract:**

In the context of the narrow-band or wideband array processing problem, in
this study a robust method is developed to improve the accuracy of the
estimation of the direction-of-arrival of the sources. It is well known that
when the noise cross-spectral matrix is unknown, these estimates may be grossly
inaccurate. Using both a least-squares algorithm and a noneigenvector algorithm
to estimate the noise subspace projection matrix and then its corresponding
eigenvalues using the Rayleigh quotient, a new robust algorithm for the source
characterization problem in the presence of noise with an unknown cross-spectral
matrix is developed. It is shown that the performance of bearing estimation
algorithms improves substantially when the robust estimate is used. Simulation
results are presented for the Toeplitz band noise spectral matrix model.

ASA 132nd meeting - Hawaii, December 1996