Maneuver Target Tracking Algorithm based on intelligent fuzzy adaptive filtering

Author

Xiaolu Wu ; XiaoHu Fan ; Liying Liu ; GuanChao Wei

Author_Institution

Second Artillery Eng. Coll., QingZhou, China

fYear

2014

fDate

May 31 2014-June 2 2014

Firstpage

383

Lastpage

386

Abstract

To improve Maneuver Target Tracking Algorithm, The multi-model intelligent input estimating method based on fuzzy logic is proposed. A fuzzy inference system is constructed with the input of the residual of observation and the residual variation. Then we could get the real-time estimate of the maneuver input of the model according to the output of the system. The algorithm is optimized by the parameter design of the fuzzy system using GA, and the simulation results proved its obvious improvement.

Keywords

adaptive filters; fuzzy logic; fuzzy reasoning; genetic algorithms; military computing; target tracking; GA; fuzzy inference system; fuzzy logic; genetic algorithm; intelligent fuzzy adaptive filtering; maneuver target tracking algorithm; multimodel intelligent input estimation method; parameter design; residual variation; Acceleration; Adaptation models; Algorithm design and analysis; Biological cells; Fuzzy logic; Noise; Target tracking; GA; fuzzy adaptive filtering; interacting multi-model; maneuver target tracking algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (2014 CCDC), The 26th Chinese

Conference_Location

Changsha

Print_ISBN

978-1-4799-3707-3

Type

conf

DOI

10.1109/CCDC.2014.6852177

Filename

6852177