The Research of Location Algorithm Model Based on Fuzzy Identification with Stratified Synchronization and Cooperative Difference

Author

Zhao Ping ; Han Xingwern ; Cheng Sen ; Xu Li ; Wei Yong ; Ji Qianqian

Author_Institution

Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

5

Abstract

In this paper, a location algorithm pattern based on fuzzy identification with multi-layer synchronization and cooperative difference is proposed to eliminate location errors and system interference caused by ambiguity distribution parameters. As the algorithm model is built to carry out fuzzy identification among faintness and ambiguity signal parameters, the location algorithm is provided with indubitable feasibility, validity and precision for fuzzy signal processing. Simulation results show that more precise location processing can be achieved with mass fuzzy parameters.

Keywords

fuzzy set theory; signal processing; ambiguity distribution parameters; ambiguity signal parameters; cooperative difference; fuzzy identification; fuzzy signal processing; location algorithm; multilayer synchronization; stratified synchronization; system interference; Coordinate measuring machines; Difference equations; Error analysis; Fuzzy systems; Interference elimination; Optimization methods; Phase estimation; Position measurement; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5300998

Filename

5300998