Multi-rule track initiation algorithm in infrared staring system
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Abstract
A fast multi-rule track initiation algorithm used in an infrared staring tracking system is proposed to overcome the deficiency of conventional track initiation algorithm. Based on the analysis of the target signatures and its kinematics in the infrared staring system, an initiation rule for determining the threat probability and course variance of low-speed or even static targets with high threat probability or targets with fragmentary plots is put forward, and fast track of these targets in the staring system is initiated. Simulation result indicates that the algorithm controls the probability of false track below 10%, and initiates tracks after only 3 or 4 sampling periods. The validity and robustness of the algorithm is verified in clutter environment.
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