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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Regular Section
Hierarchical-IMM Based Maneuvering Target Tracking in LOS/NLOS Hybrid Environments
Institute of Control Engineering, Xiangtan University">Yan ZHOU Institute of Control Engineering, Xiangtan University">Lan HU Institute of Control Engineering, Xiangtan University">Dongli WANG
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2016 Volume E99.A Issue 5 Pages 900-907

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Abstract

Maneuvering target tracking under mixed line-of-sight/non-line-of-sight (LOS/NLOS) conditions has received considerable interest in the last decades. In this paper, a hierarchical interacting multiple model (HIMM) method is proposed for estimating target position under mixed LOS/NLOS conditions. The proposed HIMM is composed of two layers with Markov switching model. The purpose of the upper layer, which is composed of two interacting multiple model (IMM) filters in parallel, is to handle the switching between the LOS and the NLOS environments. To estimate the target kinetic variables (position, speed and acceleration), the unscented Kalman filter (UKF) with the current statistical (CS) model is used in the lower-layer. Simulation results demonstrate the effectiveness and superiority of the proposed method, which obtains better tracking accuracy than the traditional IMM.

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© 2016 The Institute of Electronics, Information and Communication Engineers
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