文献类型：期刊文献

英文题名：High Degree Cubature Federated Filter for Multisensor Information Fusion with Correlated Noises

作者：Wang, Lijun[1];Wang, Sisi[1]

机构：[1]Guangdong Ocean Univ, Sch Nav, 40 Jiefangdong Rd, Zhanjiang 524025, Peoples R China

年份：2016

卷号：2016

外文期刊名：MATHEMATICAL PROBLEMS IN ENGINEERING

收录：SCI-EXPANDED(收录号：WOS:000383066100001)、、EI(收录号：20163802827096)、Scopus(收录号：2-s2.0-84987870746)、WOS

基金：This work was supported by natural science foundation of Guangdong province (No. 2015A030310131), programs for scientific research start-up funds (No. E15031), and project of enhancing school with innovation (Nos. GDOU2015050226 and GDOU2015050243) of Guangdong Ocean University, science and technology project (No. 2016B01137) of Zhanjiang City.

语种：英文

外文关键词：Bandpass filters - Target tracking

外文摘要：This paper proposes an improved high degree cubature federated filter for the nonlinear fusion system with cross-correlation between process and measurement noises at the same time using the fifth-degree cubature rule and the decorrelated principle in its local filters. The master filter of the federated filter adopts the no-reset mode to fuse local estimates of local filters to generate a global estimate according to the scalar weighted rule. The air-traffic maneuvering target tracking simulations are performed between the proposed filter and the fifth-degree cubature federated filter. Simulations results demonstrate that the proposed filter not only can achieve almost the same accuracy as the fifth-degree cubature federated filter with independent white noises, but also has superior performance to the fifth-degree cubature federated filter while the noises are cross-correlated at the same time.