Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
567179 | Signal Processing | 2007 | 12 Pages |
Abstract
The problem of determining the positions of multiple emitters by widely separated arrays is considered. We propose an iterative algorithm for estimating the positions based on the maximum likelihood (ML) criterion. The position of each emitter is decoupled from the other emitters, and in each iteration is determined by a two dimensional grid search. This approach substantially reduces the computation load of a straightforward implementation of the ML estimator, which requires a multidimensional search. Numerical examples are provided to illustrate the performance. We demonstrate that only a few iterations are required to achieve convergence. The results are compared with the Cramér–Rao lower bound.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Alon Amar, Anthony J. Weiss,