Target tracking via recursive Bayesian state estimation in cognitive radar networks
| Autor: | Arye Nehorai, Satyabrata Sen, Murat Akcakaya, Deniz Erdogmus, Yijian Xiang |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
Bayesian probability Real-time computing 020206 networking & telecommunications 02 engineering and technology Tracking (particle physics) Cognitive network law.invention Control and Systems Engineering law Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Motion planning State (computer science) Graphical model Electrical and Electronic Engineering Radar Wireless sensor network Software |
| Zdroj: | Signal Processing. 155:157-169 |
| ISSN: | 0165-1684 |
| Popis: | To cope with complicated environments and stealthier targets, incorporating intelligence and cognition cycles into target tracking is of great importance in modern sensor network management. With remarkable advances in sensor techniques and deployable platforms, a sensing system has freedom to select a subset of available radars, plan their trajectories, and transmit designed waveforms. In this paper, we propose a general framework for single target tracking in cognitive networks of radars, including consideration of waveform design, path planning, and radar selection, which are separately but not jointly taken into account in existing work. The tracking procedure, built on the theories of dynamic graphical models (DGM) and recursive Bayesian state estimation (RBSE), is formulated as two iterative steps: (i) solving a combinatorial optimization problem to select the optimal subset of radars, waveforms, and locations for the next tracking instant, and (ii) acquiring the recursive Bayesian state estimation to accurately track the target. Further, an illustrative example introduces a specific scenario in 2-D space. Simulation results based on the scenario demonstrate that the proposed framework can accurately track the target under the management of the network of radars. |
| Databáze: | OpenAIRE |
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