A framework for target identification via multi-sensor data fusion
Jianmin Liu, Yonghong Tan, Yang Xiao-ming · 2003
In this paper, the Dempster-Shafer theory is applied to target identification and a framework for battlefield platform identification is presented. The framework employs fuzzy logic to solve the problem of Basic Probability Assignments (BPA), and applies a recursive-centralized structure to the fusion of temporal-spatial information. To increase the efficiency and the robustness of the reasoning procedure, a novel conflict resolution strategy is adopted. Preliminary test results show that the framework is effective and valuable to be further developed.