Title :
A linguistic method of a neuro-fuzzy adaptive filter for online maneuvering target tracking
Author :
Menhaj, Mohammad B. ; Amani, Soheil
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
Abstract :
The main goal in the paper is to show how one may design a nonlinear adaptive filter with online structure and parameter learning capability well-suited for nonlinear filtering and tracking of systems using neuro-fuzzy concepts. The performance of the filter has been tested on a maneuvering target tracking problem and compared with some those of interacting multiple mode algorithms. The results are promising
Keywords :
adaptive filters; filtering theory; fuzzy logic; fuzzy set theory; learning (artificial intelligence); neural nets; nonlinear filters; target tracking; interacting multiple mode algorithms; linguistic method; neuro-fuzzy adaptive filter; nonlinear adaptive filter; nonlinear filtering; online maneuvering target tracking; Adaptive filters; Clustering algorithms; Current measurement; Degradation; Electric variables measurement; Filtering; Fuzzy systems; Humans; Radar tracking; Target tracking;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939091
