and P. Djuri´c, "Gaussian sum particle filtering," IEEE Transactions on Signal Processing, Vol. 51, No. 10, 2602-2612, 2003.Kotecha J H,Djuric P M.Gaussian sum particle fil-tering. IEEE Transactions on Signal Processing . 2003
2) Gaussian sum filtering algorithm 高斯和滤波算法3) Gaussian sum particle filter 高斯和粒子滤波 1. In this paper, a novel framework of distributed target tracking via Gaussian sum particle filter is proposed. 本文讨论如何利用高斯和粒子滤波(Gaussian sum particle filter)来进行协作目标跟踪。
Define Gaussian. Gaussian synonyms, Gaussian pronunciation, Gaussian translation, English dictionary definition of Gaussian. Adj. 1. Gaussian - of or relating to Karl Gauss or his mathematical theories of magnetics or electricity or astronomy or probabil
For the nonlinear and non-Gaussian filtering problem of target tracking, a novel Gaussian sum quadrature particle filter(GSQPF) based on Gauss-Hermite quadrature and Gaussian sum particle filter is proposed. In the proposed algorithm, according to the advantage of Gaussian-Hermite quadrature points in...
Gaussian Sum Particle Filtering. Extension of the use of Gaussian particle filters and sum particle filters to dynamic state space models; Examination of the performance of the algorithms... Kotecha,Jayesh,H.,... - 《IEEE Transactions on Signal Processing》 被引量: 884发表: 2003年 On Particle...
Gaussian sum filter of Markov jump non-linear systems This paper proposes a Gaussian sum filtering (GSF) Wang,Li,Xiaoxu,... - 《Iet Signal Processing》 被引量: 0发表: 2015年 Particle filters for state estimation of jump Markov linear systems Jump Markov linear systems (JMLS) are linear ...
Nonlinear non- Gaussian system filtering based on Gaussian sum and divided difference filter[J]. Control and Decision, 2012, 27(1): 129-134.基于均差... 李振华,宁磊,徐胜男 - 《控制与决策》 被引量: 15发表: 2012年 The divided difference particle filter Based on the concept of sequential impo...
The sum of independent Gaussian variables is again a Gaussian variable. Therefore, X(t) is also a Gaussian variable for each point in time t. In fact, X(t) is a stationary Gaussian process. From the fact that E[Ajk] = E[Bjk] = 0, it follows that E [X(t)] = 0. The variance...
免费在线预览全文 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 54, NO. 11, NOVEMBER 2006 4091 The Gaussian Mixture Probability Hypothesis Density Filter Ba-Ngu Vo and Wing-Kin Ma, Member, IEEE Abstract—A new recursive algorithm is proposed for jointly An intrinsic problem in multiple-target tra...
Statistical filtering For nonlinear filtering problems, the relevance of the near optimal extended Kalman filters, gaussian sum filters, and bound optimal filters are discussed. For adaptive linear filtering and prediction, connections of the linear gaussian ... JB Moore - Springer Berlin Heidelberg 被...