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 :
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