TY - GEN
T1 - Gaussian mixture approximation smoother for hypersonic glide reentry vehicles tracking
AU - Zhan, Wenchao
AU - Liang, Yan
AU - Xu, Linfeng
AU - Qiao, Ping
AU - Yang, Liuqing
N1 - Publisher Copyright:
© 2017 International Society of Information Fusion (ISIF).
PY - 2017/8/11
Y1 - 2017/8/11
N2 - Tracking hypersonic glide reentry vehicles (HGRVs) is considered in the paper. Firstly, justified by an analysis of dynamic models of HGRVs, we proposed a more accurate motion model with less computation burden. Secondly, fixed-interval Gaussian mixture approximation smoother for non-linear Markov jump systems (NLMJSs) is presented in the paper. The Gaussian mixture filter can effectively approximate the state posterior PDF and the smoother can improve the estimation accuracy. Combining this two strategies, we presented a general framework to solve the problem of HGRVs tracking. Comparing with particle filter and Gaussian mixture approximation filter without smoothing, the proposed filter performs better with proper computation.
AB - Tracking hypersonic glide reentry vehicles (HGRVs) is considered in the paper. Firstly, justified by an analysis of dynamic models of HGRVs, we proposed a more accurate motion model with less computation burden. Secondly, fixed-interval Gaussian mixture approximation smoother for non-linear Markov jump systems (NLMJSs) is presented in the paper. The Gaussian mixture filter can effectively approximate the state posterior PDF and the smoother can improve the estimation accuracy. Combining this two strategies, we presented a general framework to solve the problem of HGRVs tracking. Comparing with particle filter and Gaussian mixture approximation filter without smoothing, the proposed filter performs better with proper computation.
KW - Gaussian mixture approximation
KW - hypersonic glide reentry vehicles
KW - non-linear Markov jump systems
KW - smoother
UR - http://www.scopus.com/inward/record.url?scp=85029406042&partnerID=8YFLogxK
U2 - 10.23919/ICIF.2017.8009775
DO - 10.23919/ICIF.2017.8009775
M3 - 会议稿件
AN - SCOPUS:85029406042
T3 - 20th International Conference on Information Fusion, Fusion 2017 - Proceedings
BT - 20th International Conference on Information Fusion, Fusion 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Conference on Information Fusion, Fusion 2017
Y2 - 10 July 2017 through 13 July 2017
ER -