Target searching method for staring infrared warning system based on curvature limit

A curvature threshold based target searching method is reported in order to reduce the high false alarm rate in staring infrared warning system. A staring infrared warning system with view field of 5.34 is chosen to simulate the infrared search process in MATLAB, proving the feasibility of the proposed algorithm. Target scene with a large amount of random noise is simulated according to Monte-Carlo method to compare the search performance of the proposed algorithm with the classical 3D matched-filter method. The number of search frames is discussed to expand the proposed algorithm, and the search performance and temporal limit are also reported for different search frames.