DocumentCode :
2520925
Title :
Research on theory of binary-third-order cyclic autocorrelation sequences
Author :
Zhong, Yi ; Zhou, Zheng ; Wang, Yutong
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2012
fDate :
2-5 Oct. 2012
Firstpage :
60
Lastpage :
64
Abstract :
Because higher-order cumulant (HOC) is insensitive to the adding Gaussian noise and symmetry non-Gaussian noise, a new kind of perfect discrete signal with good periodic correlation function is presented. This paper proposes a new concept of perfect binary-third-order cyclic autocorrelation sequences (PBTOCAS), and defines the quasi-perfect binary-third-order cyclic autocorrelation sequences (QPBTOCAS) and the almost perfect binary-third-order cyclic autocorrelation sequences (APBTOCAS). Then, the properties of these binary sequences are studied, and we theoretically prove that binary-third-order cyclic autocorrelation sequences can effectively suppress colored Gaussian noise. Finally, some quasi-perfect binary-third-order cyclic autocorrelation sequences and almost perfect binary-third-order cyclic autocorrelation sequences with short lengths by computer searching are listed. From the observation of the perfect binary-third-order cyclic autocorrelation sequences, we can see that it can well suits engineering applications, remedying the defect of the current Pseudo-noise (PN) code used in very low signal-noise-ratio (SNR) environments.
Keywords :
Gaussian noise; binary sequences; correlation methods; cyclic codes; higher order statistics; pseudonoise codes; signal denoising; APBTOCAS; HOC; PBTOCAS; PN code; QPBTOCAS; SNR environments; almost perfect binary-third-order cyclic autocorrelation sequences; binary-third-order cyclic autocorrelation sequence theory; colored Gaussian noise suppression; higher-order cumulant; low signal-noise-ratio; perfect discrete signal; periodic correlation function; pseudonoise code; quasiperfect binary-third-order cyclic autocorrelation sequences; symmetry nonGaussian noise; Computers; Correlation; Estimation; Gaussian noise; Higher order statistics; correlation signal; higher-order cumulant; information theory; perfect signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technologies (ISCIT), 2012 International Symposium on
Conference_Location :
Gold Coast, QLD
Print_ISBN :
978-1-4673-1156-4
Electronic_ISBN :
978-1-4673-1155-7
Type :
conf
DOI :
10.1109/ISCIT.2012.6380972
Filename :
6380972
Link To Document :
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