Original paper
Target tracking via recursive Bayesian state estimation in cognitive radar networks
Abstract
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...
Paper Details
Title
Target tracking via recursive Bayesian state estimation in cognitive radar networks
Published Date
Feb 1, 2019
Journal
Volume
155
Pages
157 - 169
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Notes
History