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Convergence results for the Gaussian mixture implementation of the extended-target PHD filter and its extended Kalman filtering approximation
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نویسنده
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lian f. ,han c. ,liu j. ,chen h.
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منبع
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journal of applied mathematics - 2012 - دوره : 2012 - شماره : 0
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چکیده
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The convergence of the gaussian mixture extended-target probability hypothesis density (gm-ephd) filter and its extended kalman (ek) filtering approximation in mildly nonlinear condition,namely,the ek-gm-ephd filter,is studied here. this paper proves that both the gm-ephd filter and the ek-gm-ephd filter converge uniformly to the true ephd filter. the significance of this paper is in theory to present the convergence results of the gm-ephd and ek-gm-ephd filters and the conditions under which the two filters satisfy uniform convergence. © 2012 feng lian et al.
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آدرس
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ministry of education key laboratory for intelligent networks and network security (moe klinns),school of electronics and information engineering,xian jiaotong university, China, ministry of education key laboratory for intelligent networks and network security (moe klinns),school of electronics and information engineering,xian jiaotong university, China, ministry of education key laboratory for intelligent networks and network security (moe klinns),school of electronics and information engineering,xian jiaotong university, China, ministry of education key laboratory for intelligent networks and network security (moe klinns),school of electronics and information engineering,xian jiaotong university, China
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Authors
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