An effective multi-platform multi-radar target identification algorithm based on three level fusion hierarchical structure

There are some factors that influence the multi-radar target identification time-space information fusion: the low timeliness, the high conflicts among identification results of sensors, and the fuzziness and the uncertainties of identification features. Sections 1 and 2 of the full paper explain the algorithm mentioned in the title, which we believe is effective and its core consists of; "Section 1 designs three level fusion hierarchical structure for multi-platform multi-radar target identification. Subsection 1. 1 uses the fuzzy synthetic evaluation to describe the fuzziness and uncertainties of identification features to get the identification results of single radar. Subsection 1. 2 designs the algorithm that adaptively chooses evidence fusion rules for spatial information fusion, according to the threshold of the average evidence distance. Subsection 1. 3 proposes the adaptive time evidence fusion algorithm, based on sequence information of multi-radar. Subsection 2. 1 explains simulation calculations." Simulation results, presented in Tables 2 through 5, and their analysis show preliminarily that: (1) our fusion hierarchical structure can indeed get the right output result for each period, and its timeliness is better than that of Ref. 3 by Hong and Lynch; (2) Tables 2 and 3 show that our adaptive evidence fusion algorithm, compared with DS fusion rules and discount evidence fusion rules, can indeed not only solve the problem of the high conflicts among identification results of sensors but also reduce the computational complexity.