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- Title
Passive target detection and tracking from electromagnetic field measurements.
- Authors
Gao, Lin; Selleri, Stefano; Battistelli, Giorgio; Chisci, Luigi; Pelosi, Giuseppe
- Abstract
This paper presents a novel approach to the localization of moving targets in a complex environment based on the measurement of the perturbations induced by the target presence on an independently‐generated time‐varying electromagnetic field. Field perturbations are measured via a set of sensors deployed over the domain of interest and used to detect and track a possible target by resorting to a particle Bernoulli filter (PBF). To comply with real‐time operation, the PBF works along with an artificial neural network (ANN) model of the environment trained offline via finite elements (FEs). The performance of the proposed algorithm is assessed via simulation experiments.
- Subjects
ELECTROMAGNETIC measurements; ARTIFICIAL neural networks; ALGORITHMS; TRACKING algorithms
- Publication
International Journal of RF & Microwave Computer-Aided Engineering, 2020, Vol 30, Issue 9, p1
- ISSN
1096-4290
- Publication type
Article
- DOI
10.1002/mmce.22321