Title :
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
fDate :
May 31 2014-June 2 2014
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;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852177
