By Topic

Preestimation-Based Array Interpolation Approach to Coherent Source Localization Using Multiple Sparse Subarrays

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

3 Author(s)
Bo Li ; Res. Inst. of Electron. Eng., Harbin Inst. of Technol., Harbin ; Bin Xu ; Yeshu Yuan

In application to coherent source localization using multiple sparse uniform linear subarrays (ULSAs), the array interpolation technique with Lau or Pesavento formulation causes unacceptable interpolation errors over the entire field of view because of high sparseness of ULSAs. In this letter, we propose a modified array interpolation approach by specifying a union of nonoverlapping narrow subsectors as the in-sector to cover only the source locations preestimated roughly on an assumption that at least a single ULSA is available for coherent source localization. Furthermore, we skip noise prewhitening and employ more subarrays of the virtual uniform linear array (VULA) for forward-backward spatial smoothing (FBSS) that plays a key role in noise floor reduction as well as coherent source decorrelation.

Published in:

Signal Processing Letters, IEEE  (Volume:16 ,  Issue: 2 )