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To resolve the multi-sensor tracking problem of the targets in a non-maneuvering formation with the complicated background, based on the image technique of the group segmentation, the deletion models of the cloud-rain clutter and the banded interference were established, and the validity was analyzed with the simulation data and the actual data. Track maintenance is the core content of the target tracking process. Compared with the traditional multi-target, track maintenance of the targets in formation is more complicated, and the existing algorithms of formation targets tracking are mostly based on the overall formation tracking without considering the problem of targets tracking in a formation; while the tracking environment of track maintenance of the targets in a formation is relatively single in some algorithms, which is difficult to apply to the complex background such as cloud-rain clutter (1-4), banded interference(5-9) and so on. To solve this problem, the characteristics of targets in a formation is mainly discussed in this paper. These formation targets are with centralized multi-sensor system in complex environment such as cloud-rain clutter, banded interference and so on. It is researched that how to maximize the detection of adverse effects of cloud-rain clutter and banded interference under the premise of not affecting the true echo of the targets in a formation. Moreover the deletion models of the cloud-rain clutter and the banded interference are established to realize clutter pretreatment of formation target tracking. Thus the foundation is laid on the accurate tracking of the targets in a formation.

The Algorithm of the Clutter and Interference Deletion Based on the Image Technique of the Group Segmentation