基于可信度的航跡融合

本文提出了一種基于可信度的數(shù)據(jù)融合的航跡處理方法。該方法基于各雷達(dá)提供的信息的相對(duì)可信度，對(duì)不同航跡分別建立多雷達(dá)可信度判斷矩陣，求得各雷達(dá)對(duì)該目標(biāo)的可信度，進(jìn)而求得各雷達(dá)的綜合可信度。根據(jù)雷達(dá)的可信度，采用可信度高的雷達(dá)所獲取的航跡信息進(jìn)行卡爾曼濾波，獲得每條航跡的最佳估計(jì)值。然后對(duì)多部雷達(dá)濾波后的數(shù)據(jù)進(jìn)行線性加權(quán)融合處理，最終得到唯一航跡。
關(guān)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