Radiation platform correlation method based on radiation source space positions
A technology of spatial location and radiation source, applied in the field of data fusion and data association technology, can solve problems such as uncertainty and ambiguity of platform identification results
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[0018] The detailed implementation methods of the above-mentioned process steps are described as follows:
[0019] 1. Combining the spatial clustering method to group and cluster the radiation source positions observed within a period of time.
[0020] To carry out the platform association of multi-radiation source targets, it is first necessary to extract possible radiation source arrays from sensor observations, and this process can be completed by observation clustering. For some commonly used clustering algorithms: simple clustering algorithm based on similarity threshold and minimum distance, K-means clustering method, etc. The simple clustering method is affected by the clustering threshold and clustering center; while the K-means clustering method needs to determine the number of clusters and the initial clustering center, but the number and location of radiation sources in the observation area are unknown. Not applicable to extraction of radiation source arrays. In t...
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