By Topic

Statistical analysis of beam-space estimation for direction-of-arrivals

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 $13
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

2 Author(s)
Fu Li ; Dept. of Electr. Eng., Portland State Univ., OR, USA ; Liu, H.

The authors analyze the beam-space performance of the DOA estimation for several subspace processing algorithms in a unified fashion based on a finite amount of measurements. The mean-squared errors (MSE) of the beam-space DOA estimation for these algorithms are expressed; in a single formula using physical parameters like array manifold, beamformer matrix. The important properties of beam-space performance are revealed; for instance, increasing beam-space dimension does not always reduce MSE for all algorithms. Also, the criteria for designing minimum mean-squared error beamformers are discussed

Published in:

Signal Processing, IEEE Transactions on  (Volume:42 ,  Issue: 3 )