A survey of the estimation and fusion methods for battlefield situation awareness

Constructing an accurate battlefield situation is indispensable to accomplish the combat mission. It's difficult to build the closed-loop battlefield combat chain in the complex battlefield environment by relying on single sensing information. Thus it has been urgent for solving the problem of how to use the available multi-sensor information to complete the task of battlefield situation construction under multi-constraint and high dynamic conditions. Based on the battlefield combat mission, this paper analyzes the filtering estimation and fusion methods in battlefield situation awareness, then summarizes and prospects the development of them considering the actual constraints that exist in battlefield situation awareness network.