Research on Data Association Algorithm Based on Lineofsight Distance in Photoelectric Two-dimensional Detection System
WANG Xinliang, CAI Weifeng, QIU Lingcun, YUAN Aihua, CAO Zheng
1. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;
2. Shanghai ElectroMechanical Engineering Institute, Shanghai 201109, China
Abstract The concept of lineofsight distance is introduced into the data association in photoelectric twodimensional detection system. A test statistic based on line-of-sight distance is constructed. The correlation criterion that the sum of the line-of-sight distance of each photoelectric detector against the same target should be minimum is cited. A new method combining comparison test statistics and cost function is proposed, then the algorithm is studied and the applicability of the proposed algorithm is obtained through the comparison of association probability. First, the linear equation is obtained by calculating the data detected by each photoelectric detector, after that, the test statistics are calculated based on the lineofsight distance of any two photoelectric detectors against any target, and then the reference threshold is selected, and the algorithm flow chart is given with the concept of cost functions. Finally, the simulation results show that the algorithm is effective.
Received: 19 March 2019
Published: 08 January 2020
2019, Vol. 2 
