Title:
TARGET TRACKING METHOD AND DEVICE BASED ON PARALLEL FUZZY GAUSSIAN AND PARTICLE FILTER
Document Type and Number:
WIPO Patent Application WO/2018/119912
Kind Code:
A1
Abstract:
Provided is a target tracking method based on a parallel fuzzy Gaussian and particle filter method. The method comprises: dividing a sensor system into a plurality of subsystems (S1); separately performing filtering on an observation result of a target state at a current target observation time for each of the subsystems according to a boundary state thereof using a Gaussian and particle filter method, to obtain a target state posterior probability density function of the subsystem at the current target observation time (S2), wherein state particles used by different subsystems in the filtering process are not shared; obtaining a target state posterior probability density function of the sensor system at the current target observation time using target state posterior probability density functions of all the subsystems at the current target observation time (S3); and obtaining a target state estimated value at the current target observation time using the target state posterior probability density function of the sensor system at the current target observation time (S4).
Inventors:
LI LIANGQUN (CN)
XIE WEIXIN (CN)
LIU ZONGXIANG (CN)
XIE WEIXIN (CN)
LIU ZONGXIANG (CN)
Application Number:
PCT/CN2016/113111
Publication Date:
July 05, 2018
Filing Date:
December 29, 2016
Export Citation:
Assignee:
UNIV SHENZHEN (CN)
International Classes:
G01S13/66
Foreign References:
| CN105205313A | 2015-12-30 | |||
| CN103902812A | 2014-07-02 | |||
| CN101975575A | 2011-02-16 | |||
| CN104794736A | 2015-07-22 | |||
| CN103902819A | 2014-07-02 |
Attorney, Agent or Firm:
CHINA WISPRO INTELLECTUAL PROPERTY LLP. (CN)
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