By Topic

Two-dimensional spatial-spectrum estimation of coherent signals without spatial smoothing and eigendecomposition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Li, P. ; Dept. of Electron. Eng., Northwestern Polytech. Univ., Xian, China ; Sun, J. ; Yu, B.

In array signal processing, most of the high resolution methods for direction of arrival (DOA) estimation are eigenstructure-based methods. The computational burden involved in the eigendecomposition limits the application of eigenstructure-based algorithms for real environments. A cross-covariance matrix constructed to be of full rank regardless of the coherence of the signals is suggested to avoid employing the technique of spatial smoothing in two-dimensional (2-D) spatial-spectrum estimation of coherent signals. The propagator method is used to perform the noise subspace estimation without any eigendecomposition. Furthermore, the new method can handle unknown correlated noise fields. The effects of the unknown noise are eliminated by using a rectangular planar array and a separately placed single sensor. All these properties make real-time implementation of the method possible

Published in:

Radar, Sonar and Navigation, IEE Proceedings -  (Volume:143 ,  Issue: 5 )