Title :
The Linear Complexity of Binary Sequences With Optimal Autocorrelation
Author :
Wang, Qi ; Du, Xiaoni
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Abstract :
Binary sequences with optimal autocorrelation are needed in many applications. Two constructions of binary sequences with optimal autocorrelation of period N ≡ 0 (mod 4) are investigated. The two constructions are powerful and generic in the sense that many classes of binary sequences with optimal autocorrelation could be obtained from binary sequences with ideal autocorrelation. General results on the minimal polynomials of these binary sequences are derived. Based on the results, both the linear complexities and the minimal polynomials are determined.
Keywords :
binary sequences; correlation methods; polynomials; binary sequences; linear complexity; minimal polynomials; optimal autocorrelation; Binary sequences; Complexity theory; Correlation; Polynomials; Almost difference set; autocorrelation; difference set; interleaving; linear complexity;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2079550