文献类型：期刊文献

英文题名：Fuzzy probabilistic data association filter and its application to single maneuvering target

作者：Li, Xiaobin[1,2];Fan, En[3,4];Shen, Shigen[4,5];Hu, Keli[4];Li, Pengfei[6]

机构：[1]Lanzhou Inst Technol, Coll Software Engn, Lanzhou 730000, Gansu, Peoples R China;[2]Jozef Stefan Int Postgrad Sch, Ljubljana 1000, Slovenia;[3]Shenzhen Univ, ATR Key Lab, Shenzhen 518060, Guangdong, Peoples R China;[4]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Zhejiang, Peoples R China;[5]Jiaxing Univ, Coll Math Phys & Informat Engn, Jiaxing 314001, Zhejiang, Peoples R China;[6]Air Def Forces Acad, Zhengzhou 450052, Peoples R China

年份：2016

卷号：2016

期号：1

外文期刊名：EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING

收录：SCI-EXPANDED(收录号：WOS:000384573800001)、、EI(收录号：20163902854261)、Scopus(收录号：2-s2.0-84988662284)、WOS

基金：This work is supported by the National Natural Science Foundation of China (No. 61603258 and No. 61272034), the Startup Project of Doctor Science Research of Shaoxing University (No. 20145021 and No. 20155015), the Science Project of Shaoxing University (No. 2015LG1006), the Natural Science Foundation of Shenzhen Polytechnic (No. 601522 K21017), the Lanzhou Science and Technology Project (No. 2015-4-3), and the Public Welfare Technology Application Research-Industrial Project of Zhejiang Province (No. 2016C31082).

语种：英文

外文关键词：Maneuvering target tracking; Probabilistic data association; Recursive least squares filter; Fuzzy system

外文摘要：The fuzzy recursive least squares-probabilistic data association (FRLS-PDA) filter is presented for tracking single maneuvering target in cluttered situations with unknown process noises. In the proposed filter, the association probabilities of the current valid measurements belonging to a motion target are calculated by the probabilistic data association (PDA) algorithm. Then these probabilities are used to weight the valid measurements for generating a fused measurement, which is applied to determine the maneuvering characteristics of the moving target in real time including the current measurement residual and heading change. According to the above characteristics calculated, the fuzzy recursive least squares (FRLS) filter is used to estimate the current state of the target. The proposed filter can provide the advantage of the FRLS filter, which relaxes the restrictive assumptions of motion models of a maneuvering target. Moreover, it can realize single maneuvering target tracking in cluttered situations. The performance of the FRLS-PDA filter is evaluated by two experiments with the simulation data and real data, and it is found to be better than those of the PDA filter, IMM-PDA filter, fuzzy adaptive alpha-beta filter, and FRLS filter in tracking accuracy.