Robust algorithms for direction-finding in the presence of model errors

Author

Swindlehurst, A.

Author_Institution

Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA

fYear

1990

fDate

10-12 Oct. 1990

Firstpage

362

Lastpage

366

Abstract

The application of high-resolution, subspace-based methods to narrowband direction-of-arrival (DOA) estimation relies on several critical assumptions. Two of these are that the response of the antenna array is known in all directions of interest, and that the spatial covariance of the background noise is known. Neither of these assumptions is satisfied in practice, often resulting in a serious degradation of algorithm performance. A model error sensitivity analysis is carried out for some popular high-resolution subspace-based algorithms. Theoretical expressions for the covariance of the DOA estimation error are developed and compared with that obtained by simulation. The analysis is also used to develop optimally weighted versions of the algorithms that are robust to the types of model errors considered.<>

Keywords

eigenvalues and eigenfunctions; error analysis; parameter estimation; signal processing; background noise; direction-finding; eigendecomposition; high-resolution subspace-based algorithms; model errors; narrowband DOA estimation; optimally weighted algorithms; robust algorithms; spatial covariance; Antenna arrays; Background noise; Degradation; Direction of arrival estimation; Directive antennas; Estimation error; Narrowband; Navigation; Robustness; Sensitivity analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on

Conference_Location

Rochester, NY, USA

Type

conf

DOI

10.1109/SPECT.1990.205608

Filename

205608