Abstract
In this paper we proposed deterministic maximum likelihood approach for estimating the direction of arrival and range parameters of the near-field sources. Direct maximum likelihood estimation of near-field source parameters results in complicated multi-parameter optimization problems, we therefore reformulated the estimation problem in terms of actual-data sample, called the incomplete data and a hypothetical data set, called the complete data and then devised the Expectation/Maximization iterative method for obtaining maximum likelihood estimates. The 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. The applicability and effectiveness of the proposed algorithm is illustrated by some numerical simulations.
| Original language | English |
|---|---|
| Pages (from-to) | 1-10 |
| Number of pages | 10 |
| Journal | AEU-Archiv fur Elektronik und Ubertragungstechnik |
| Volume | 56 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2002 |
| Externally published | Yes |
Funding
H. A. Cirpan and E. Cekli, Electrical Engineering Department, Istanbul University, Istanbul, Turkey 34850. E-mail: [email protected] * Part of the results of this paper was presented at the First IEEE Balkan Conference on Signal Procesing, Communications, Circuits and Systems, Istanbul, Turkey, June 1–3, 2000. This work was supported by The Research Fund of The University of Istanbul, Project number: 1407/05052000.
| Funders | Funder number |
|---|---|
| University of Istanbul | 1407/05052000 |