DocumentCode
3085702
Title
Adaptive and Smart Threshold for M-sequence Identification Using Higher Order Statistics
Author
Gouda, Mamdouh ; Ali, Yasser
Author_Institution
Misr Univ. for Sci. & Technol., Cairo
fYear
2009
fDate
25-27 March 2009
Firstpage
269
Lastpage
273
Abstract
In digital communication systems, the higher order statistical techniques (HOS) can be used for data recovery and recognition. In this paper, the process of developing the output of the triple correlation function (TCF) using different threshold techniques will be highlighted, and a study of the effect of using the fixed and the adaptive threshold techniques in noisy environment will be performed.
Keywords
AWGN; higher order statistics; spread spectrum communication; adaptive threshold; data recognition; data recovery; digital communication systems; higher order statistical techniques; m-sequence identification; smart threshold; triple correlation function; AWGN; Additive white noise; Gaussian noise; High performance computing; Higher order statistics; Multiaccess communication; Noise generators; Noise level; Signal to noise ratio; Working environment noise; M-sequence; Triple correlation; higher order statistics; identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
Conference_Location
Cambridge
Print_ISBN
978-1-4244-3771-9
Electronic_ISBN
978-0-7695-3593-7
Type
conf
DOI
10.1109/UKSIM.2009.33
Filename
4809776
Link To Document