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Title:
METHOD AND DEVICE FOR TRACKING MANEUVERING TARGET
Document Type and Number:
WIPO Patent Application WO/2020/173105
Kind Code:
A1
Abstract:
A method and device for tracking a maneuvering target, which is applied to the technical field of target tracking. The method comprises: representing target feature information of a maneuvering target as multiple semantically fuzzy sets, and on the basis of the multiple semantically fuzzy sets, constructing a T-S semantic fuzziness multi-model, the T-S semantic fuzziness multi-model comprising multiple sub-models (101); identifying consequent parameters on the basis of the unscented Kalman filter algorithm to determine the target state and the covariance of the target state of each sub-model (102); identifying antecedent parameters on the basis of a fuzzy C-regression clustering algorithm to determine a target fuzzy membership function for the antecedent parameters of each sub-model (103); on the basis of the target state, the covariance of the target state and the target fuzzy membership function for the antecedent parameters for each sub-model, obtaining a state estimation and covariance estimation for the maneuvering target (104); and on the basis of the state estimation and covariance estimation for the maneuvering target, predicting the track of the maneuvering target (105). The described method may improve accuracy in target tracking.

Inventors:
LI LIANGQUN (CN)
WANG XIAOLI (CN)
XIE WEIXIN (CN)
LIU ZONGXIANG (CN)
Application Number:
PCT/CN2019/112696
Publication Date:
September 03, 2020
Filing Date:
October 23, 2019
Export Citation:
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Assignee:
UNIV SHENZHEN (CN)
International Classes:
G06K9/62; G01C21/20; G06T7/277
Foreign References:
CN109990786A2019-07-09
CN109325128A2019-02-12
CN106443661A2017-02-22
CN102438257A2012-05-02
CN108061887A2018-05-22
Other References:
WANG, XIAOLI; LI, LIANGQUN; XIE, WEIXIN: "T-S Fuzzy Multiple Model Target Tracking Algorithm with UKF Parameter Identification", JOURNAL OF SIGNAL PROCESSING, vol. 35, no. 03, 25 March 2019 (2019-03-25), pages 361 - 368, XP009522842, ISSN: 1003-0530, DOI: 10.16798/j.issn.1003-0530.2019.03.006
MIZUMOTO, I. ET AL.: "Adaptive Output Feedback Based Output Tracking Control for Uncertain Nonlinear Systems via T-S Fuzzy Model", 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 15 December 2017 (2017-12-15), XP033303947, DOI: 20200125184240A
CHANG, CHIAWEN ET AL.: "A Novel Approach to Implement Takagi-Sugeno Fuzzy Models", IEEE TRANSACTIONS ON CYBERNETICS, vol. 47, no. 09, 16 May 2017 (2017-05-16), pages 2353 - 2361, XP011658337, DOI: 20200125184404A
GAO, ZILIN; XIONG, JIANG; PAN, YONG; LI, HONGBING; LUO, WEIMIN: "Adaptive Sliding Tracking Control and Simulation for a Class of Nonlinear Systems Based on T-S Model", JOURNAL OF CHONGQING NORMAL UNIVERSITY (NATURAL SCIENCE), vol. 33, no. 05, 30 September 2016 (2016-09-30), pages 128 - 132, XP009522841, ISSN: 1672-6693, DOI: 10.11721/cqnuj20160503
Attorney, Agent or Firm:
HENSEN INTELLECTUAL PROPERTY FIRM (CN)
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