Skip to main content

Deterministic Maximum Likelihood Approach for 3-D Near Field Source Localization

Buy Article:

$28.45 plus tax (Refund Policy)


In this paper, maximum likelihood estimator is proposed for passive localization of narrowband sources in the spherical coordinates (azimuth, elevation, and range). We adapt Expectation/Maximization iterative method to solve the complicated multi-parameter optimization problem appearing on the 3-D localization problem. The proposed algorithm is based on maximum likelihood criterion which employs the source signals recorded by 2-D array under near-field assumption. Expectation/Maximization algorithm decomposes the observed data into its components and then estimates the parameters of each signal component separately providing computationally efficient solution to the resulting optimization problem. Performance analysis of the proposed algorithm is then carried out through the evaluation of Cramer-Rao bounds. Finally, the applicability and effectiveness of the proposed algorithm is illustrated by some numerical simulations.

Document Type: Research Article


Affiliations: 1: TUBITAK-UME, Kocaeli, 41470 Turkey. 2: Department of Electrical Engineering, Istanbul University, Avcilar, 34850 Istanbul, Turkey. 3: TUBITAK, Marmara Research Center, Energy Systems and Environmental Research Institute, Kocaeli, 41470 Turkey. 4: Electronics and Communication Engineering Department, Istanbul Technical University, Maslak 80626, Istanbul, Turkey.

Publication date: 2003-10-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more