本文提出了一種基于可信度的數據融合的航跡處理方法。該方法基于各雷達提供的信息的相對可信度，對不同航跡分別建立多雷達可信度判斷矩陣，求得各雷達對該目標的可信度，進而求得各雷達的綜合可信度。根據雷達的可信度，采用可信度高的雷達所獲取的航跡信息進行卡爾曼濾波，獲得每條航跡的最佳估計值。然后對多部雷達濾波后的數據進行線性加權融合處理，最終得到唯一航跡。
關鍵詞：可信度；卡爾曼濾波；航跡融合
Abstract: This paper presents a track handling method based on reliability. A reliability judge matrix for each target is constructed based on the relative reliability of information offered by radars. Then, the reliabilities of all the radars for each target and their general reliability can be gotten. A numerical example is presented. The well reliability radar’s information will be chose to merge with Kalman filter algorithm in tracking handling based on data fusion technique, and gain the best estimate track. Then the filtered data of a lot of radars was merged with the linear weighting to get the only track.
Key words: reliability; Kalman filter; track fusion