An Improved Algorithm for Multi-source Location Information Fusion Based on Comprehensive Probability Distance Matrix

The traditional multi-source location information fusion algorithm based on probability density function is inefficiency when dozens of targets are concerned. In order to solve this problem, this paper proposes an improved algorithm which is based on comprehensive probability distance matrix (CPDM), and creatively puts forward how to extract location information on the same target by using absolute probability distance matrix (APDM) and relative probability distance matrix (RPDM). A simulation was conducted to emulate the real environment. The accuracy of the improved algorithm under different conditions is analyzed. Results show that the algorithm can effectively fuse multi-source location information to improve the locating precision.