Networked target tracking With Doppler sensors
| Autor: | Alfonso Farina, Giorgio Battistelli, Claudio Fantacci, Luigi Chisci, Antonio Graziano |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
business.industry
Computer science Node (networking) Real-time computing Aerospace Engineering Tracking system Filter (signal processing) Covariance intersection Tracking (particle physics) symbols.namesake Control theory symbols Observability Electrical and Electronic Engineering business Doppler effect |
| Zdroj: | IEEE Transactions on Aerospace and Electronic Systems. 51:3294-3306 |
| ISSN: | 0018-9251 |
| DOI: | 10.1109/taes.2015.140340 |
| Popis: | This paper deals with the problem of tracking a moving target by means of a network of geographically dispersed nodes with Doppler sensing, communication, and processing capabilities. The problem is addressed both in a hierarchical setting, i.e., in the presence of a fusion center that can fuse data from all the local nodes, and in a peer-to-peer setting wherein each node (peer) has to locally estimate the target kinematic state only on the grounds of local measurements and of data received from its neighbors. A suitable nonlinear observability decomposition is introduced in order to single out state coordinates that can be fully observed from a single Doppler sensor. Based on such a decomposition, a novel dual-stage filtering approach to distributed Doppler-only tracking is developed. In particular, it is shown how the proposed approach can be adopted both in the presence of a fusion center by means of covariance intersection and in the peer-to-peer case by exploiting consensus algorithms. The effectiveness of the proposed algorithms is evaluated via computer simulations. |
| Databáze: | OpenAIRE |
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