Hierarchical dynamic adaptive weighted low-elevation tracking method

The invention provides a hierarchical dynamic adaptive weighted low-elevation tracking method, and mainly relates to the field of tracking algorithms. At present, under the condition of a low elevation angle, tracking signals of a measurement system are subjected to multipath interference, so that tracking is unstable. A measurement system often adopts a mode of multi-source weighting as data fusion, so that the low-elevation tracking precision is improved. However, a traditional multi-source weighted low-elevation tracking method does not distinguish the accuracy and stability of various types of sources, resulting in that the confidence of high-precision sources is lowered after data weighting processing, and a data fusion result does not give full play to the advantages of the sources. In order to solve the problem, the method can effectively perform real-time weight correction on information of each information source under various information by processing the weight of the intelligent decision-making mu