Abstract
In order to make the sensor system accomplish the target tracking task and reduce the amount of electromagnetic radiation, a multi-platform active and passive sensor network scheduling method for target tracking task is studied. In this method, the radiation state of the active sensor is quantified by the influence of the radiation degree, and the radiation model based on the partial observable markov decision process is established. Then, according to the target tracking task requirements, considering the task requirements and tactical constraints, the objective optimization function is established, and finally the scheduling algorithm under the radiation control is given. Simulation results show that the algorithm is effective and reasonable.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
