DocumentCode
1534248
Title
The Linear Complexity of Some Binary Sequences With Three-Level Autocorrelation
Author
Wang, Qi
Author_Institution
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Volume
56
Issue
8
fYear
2010
Firstpage
4046
Lastpage
4052
Abstract
Binary sequences with good autocorrelation are needed in many applications. A construction of binary sequences with three-level autocorrelation was recently presented. This construction is generic and powerful in the sense that many classes of binary sequences with three-level autocorrelation could be obtained from any difference set with Singer parameters. The objective of this paper is to determine both the linear complexity and the minimal polynomial of two classes of binary sequences, i.e., the class based on the Singer difference set, and the class based on the GMW difference set.
Keywords
binary sequences; computational complexity; set theory; GMW difference set; Singer difference set; Singer parameter; binary sequence; linear complexity; minimal polynomial; three-level autocorrelation; Autocorrelation; Binary sequences; Bridges; Computer science; Galois fields; Global Positioning System; Multiaccess communication; Polynomials; Spread spectrum communication; Almost difference set; GMW difference set; Singer difference set; autocorrelation; difference set; linear complexity;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2010.2050831
Filename
5508635
Link To Document