TY - JOUR AU - Soojin Kim AU - Hyunjoong Kim AU - Sungzoon Cho PY - 2014/01/17 Y2 - 2024/03/29 TI - Fast Parameterless Ballistic Launch Point Estimation based on k-NN Search JF - Defence Science Journal JA - DSJ VL - 64 IS - 1 SE - Computers & Systems Studies DO - 10.14429/dsj.64.2952 UR - https://publications.drdo.gov.in/ojs/index.php/dsj/article/view/2952 AB - This paper discusses the problem of estimating a ballistic trajectory and the launch point by using a trajectory similarity search in a database. The major difficulty of this problem is that estimation accuracy is guaranteed only when an identical trajectory exists in the trajectory database (TD). Hence, the TD must comprise an impractically great number of trajectories from various launch points. Authors proposed a simplified trajectory database with a single launch point and a trajectory similarity search algorithm that decomposes trajectory similarity into velocity and position components. These similarities are applied k-NN estimation. Furthermore, they used the iDistance technique to partition the data space of the high-dimensional database for an efficient k-NN search. Authors proved the effectiveness of the proposed algorithm by experiment.Defence Science Journal, Vol. 64, No. 1, January 2014, DOI:10.14429/dsj.64.2952 ER -