A Novel 2-D DOA estimation algorithm with superior resolution and reduced sidelobes

Claudio S. Marino; Paul M. Chau

doi:10.1117/12.618041

14 September 2005 A Novel 2-D DOA estimation algorithm with superior resolution and reduced sidelobes

Claudio S. Marino, Paul M. Chau

Proceedings Volume 5913, Signal and Data Processing of Small Targets 2005; 591302 (2005) https://doi.org/10.1117/12.618041
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

We present a 2-D Direction of arrival algorithm whose resolution is superior to that of the subspace class of algorithms and sidelobes are reduced compared to most algorithms. The algorithm is based on the 2-D AR Power Spectral Density (2-D ARPSD) applied to a uniformly spaced data set (space-time) which transforms the space-time data to spatial frequency (wavenumber, which is a function of the direction of arrival) and temporal frequency in a high resolution context. This is done by modeling the sensor array data with a 2-D AR model. The 2-D AR parameters are then used in a specialized form of a 2-D FFT to create an enhanced wavenumber-frequency image. A wavenumber vector for a specific narrowband temporal frequency is extracted and compared to other high resolution algorithm such as MUSIC. Our results exhibit superior performance in low SNR and short sample sized scenarios and when mismatch occurs in the subspace techniques. Our technique also exhibits reduced sidelobes as compared with traditional methods.

Citation Download Citation

Claudio S. Marino and Paul M. Chau "A Novel 2-D DOA estimation algorithm with superior resolution and reduced sidelobes", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 591302 (14 September 2005); https://doi.org/10.1117/12.618041

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available