Author(s)

Miao Yan, Hongyan Wang

Corresponding Author

Miao Yan

ABSTRACT

Track-before-detect (TBD) is an effective method for infrared point target detection. Paper mainly introduced the three dimensional matched filtering, Hough transform, dynamic programming, multistage hypothesis testing, and five types of classic TBD particle filter algorithm and from the target category, environment noise, target motion, and track confirmation criteria as well as the advantages and disadvantages of algorithm six aspects has carried on the analysis and comparison of them, finally prospects the development trend of the infrared point target TBD algorithm.

KEYWORDS

Infrared point target, TBD, PF