Study on Sensor Management Technology forBattlefield Target Acquisition and Localization

The awareness and use of rapidly deployed sensor network technologies for remote reconnaissance collection on the battlefield have greatly increased over the last few decades.

In this project, an intelligent network composed of multiple Unattended Ground Sensors (UGS) and Unmanned Aerial Vehicles (UAV) is proposed for target detection, classification, acquisition and localization in the battlefield, where the potential targets are enemy vehicles, such as tanks, artillery and etc. If a target is detected, the command and control (C2) center will determine its location and deploy munitions to kill it. If a vehicle is suspected to be a target, but unconfirmed, the C2 center will deploy a UAV to verify the situation. If a target is confirmed, munitions will be deployed to kill it.

The goal of the system is target acquisition and eventually target destruction, whose effectiveness can be measured by performing battle damage assessment by monitoring activities before and after each attack. The contribution of the work will consist of, but not limited to, the following aspects: optimal UGS deployment site identification; predication of optimum UGS performance; sensor fusion and data mining; UAV traveling path optimization; and target acquisition with multiple UAVs.

Principal Investigator: Assoc. Professor Lu Yilong

Team Member:
Dr. Li Minghui, Research Fellow