The design of battle field correlation tracks

Abstract

Tactical command and control system is a warfare information exchange and command system which is highly related to the national defense security. The tactical command and control system features include collecting the data sources from different tracking device sensor and merging the same or filtering the duplicate targets. System response time and the number of tracking targets are two major factors which impact the quality of decision making with the tactical command and control system. Since the new fire-control system is requested to process thousands of different tracks just in seconds, the traditional tactical command and control system cannot fulfill the current secure requirements because of limited processing speed and transmission rate. This paper provides an advanced induction algorithm for multi-resource correlated tracking rules, with which we can process multiple data sources, for example shore-based radar, unmanned aerial vehicles or automatic identification system (AIS), to identify distinct targets much faster than before. Also, we further describe the reginal and distributed design for providing robust accessibility of association service. All the methods mentioned in this paper have been well implemented. Under stress test with simulators in the lab, our algorithm can perform 24 times faster than the traditional ways. With the same system hardware configuration and tracking device sensors deployment, the proposed method can strengthen the reliability and sustainability for the traditional tactical command and control system.