DocumentCode
1966797
Title
Improved method of DSSS signal parameter estimation
Author
Shuang, Yang ; Li, Deng
Author_Institution
Dept. of Electron. Eng., Guilin Coll. of Aerosp. Technol., Guilin, China
Volume
2
fYear
2010
fDate
10-11 July 2010
Firstpage
301
Lastpage
303
Abstract
In Gaussian white noise environment, the DSSS signal parameters estimation which based on spectral correlation can get better parameter estimation results, but in the colored noise environment, its performance declined. In this paper, we have discussed the estimated effectiveness of this method in colored noise environment and proposed an improved method based on ANFIS network. Through computer simulation, it demonstrated that the improved method is effective.
Keywords
AWGN; fuzzy reasoning; neural nets; parameter estimation; signal detection; spread spectrum communication; telecommunication computing; ANFIS network; DSSS; Gaussian white noise; adaptive neural network based fuzzy inference system; colored noise; direct sequence spread spectrum; signal parameter estimation; spectral correlation; Binary phase shift keying; Spread spectrum communication; ANFIS; DSSS; estimation; parameter; spectral correlation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-7860-6
Type
conf
DOI
10.1109/INDUSIS.2010.5565710
Filename
5565710
Link To Document