本文研究了量測噪聲與系統(tǒng)噪聲相關(guān)情況下同步多傳感跟蹤系統(tǒng)的航跡關(guān)聯(lián)及融合技術(shù). 考慮線性連續(xù)時間系統(tǒng)中過程噪聲及量測噪聲相互獨立的情況,通過線性系統(tǒng)的離散化表明了在多傳感跟蹤系統(tǒng)中,由于公共噪聲的影響而使離散化的量測噪聲及過程噪聲之間存在一定的相關(guān)性. 根據(jù)假設(shè)檢驗的理論,本文推導(dǎo)了噪聲相關(guān)情況下的多傳感器跟蹤系統(tǒng)航跡關(guān)聯(lián)及融合的算法,Monte Carlo 仿真結(jié)果表明了該算法的有效性.
關(guān)鍵詞: 　相關(guān)噪聲; 目標(biāo)跟蹤; 航跡關(guān)聯(lián)
Abstract : 　The track association and fusion technique of synchronized multi2sensor tracking system in case of correlated noises is developed. The discretization to linear continuous time system expresses that there exists a correlation among common process noise and measurement noise ,although they are independent of in linear continuous time system. And then in the light of hypothesis testing theory ,the synchronized multi2sensor track association and fusion algorithm is presented. The simulation results express its validity.
Key words : 　correlated noise ;target tracking ;association fusion