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
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;
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
DOI :
10.1109/UKSIM.2009.33
