@article{63cab2a927d742d08f32bf48207ae349,
title = "A decoupled algorithm for geolocation of multiple emitters",
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 Cram{\'e}r-Rao lower bound.",
keywords = "Array-processing, Emitter-localization, Maximum-likelihood estimation",
author = "Alon Amar and Weiss, {Anthony J.}",
note = "Funding Information: This research was supported by the Israel Science Foundation (Grant No. 1232/04) and by the Institute for Future Technologies Research Named for the Medvadi, Shwartzman and Gensler. ",
year = "2007",
month = oct,
doi = "10.1016/j.sigpro.2007.03.008",
language = "אנגלית",
volume = "87",
pages = "2348--2359",
journal = "Signal Processing",
issn = "0165-1684",
publisher = "Elsevier B.V.",
number = "10",
}