文献类型：期刊文献

英文题名：Fuzzy-Logic-Based, Obstacle Information-Aided Multiple-Model Target Tracking

作者：Wang, Quanhui[1];Fan, En[2];Li, Pengfei[3]

机构：[1]Lingnan Normal Univ, Sch Informat Engn, Zhanjiang 524000, Peoples R China;[2]Shaoxing Univ, Coll Mech & Elect Engn, Shaoxing 312000, Peoples R China;[3]Chinese PLA Army Artillery Air Def Acad, Zhengzhou Campus, Zhengzhou 450000, Henan, Peoples R China

年份：2019

卷号：10

期号：2

外文期刊名：INFORMATION

收录：ESCI(收录号：WOS:000460794200015)、EI(收录号：20190706490538)、Scopus(收录号：2-s2.0-85061175462)、WOS

基金：This work was support by the National Natural Science Foundation of China: 61703280, the National Natural Science Foundation of China: 61603258, the Plan Project of Science and Technology of Shaoxing City: 2017B70056; Military Postgraduate Foundation in the Whole Army: Study on aerial information application of air defense multi-source radar network.

语种：英文

外文关键词：target tracking; multiple model estimation; obstacle information; fuzzy inference

外文摘要：Incorporating obstacle information into maneuvering target-tracking algorithms may lead to a better performance when the target when the target maneuver is caused by avoiding collision with obstacles. In this paper, we propose a fuzzy-logic-based method incorporating new obstacle information into the interacting multiple-model (IMM) algorithm (FOIA-MM). We use convex polygons to describe the obstacles and then extract the distance from and the field angle of these obstacle convex polygons to the predicted target position as obstacle information. This information is fed to two fuzzy logic inference systems; one system outputs the model weights to their probabilities, the other yields the expected sojourn time of the models for the transition probability matrix assignment. Finally, simulation experiments and an Unmanned Aerial Vehicle experiment are carried out to demonstrate the efficiency and effectiveness of the proposed algorithm.