The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Direction of arrival estimation in the presence of correlated signals with non-ideal uniform circular arrays

Author

Summary, in English

The Davies transformation is a method to transform
the steering vector of a uniform circular array (UCA) to a
vector with Vandermonde form. As this form is similar to
that of the steering vector of a uniform linear array
(ULA), we can apply to UCAs the many tools that have
been developed for ULAs. However, the Davies
transformation can be highly sensitive to perturbations of
the underlying ideal array model. In this paper, we present
two different methods for deriving a more robust
transformation. The main underlying idea is to trade off
robustness against accuracy of the Vandermonde form. In
particular, we consider its application to direction-of-
arrival estimation in the presence of correlated signals
using root Weighted Subspace Fitting (root-WSF). The
effectiveness of these methods are illustrated through
numerical examples.

Publishing year

2002

Language

English

Pages

558-562

Publication/Series

Nordic Radio Science and Communication Conference, 2002

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

Nordic Radio Science and Communication Conference 2002

Conference date

2002-06-11 - 2002-06-13

Conference place

Stockholm, Sweden

Status

Published