Title :
New Binary Sequences With Optimal Autocorrelation Magnitude
Author :
Yu, Nam Yul ; Gong, Guang
Author_Institution :
Dept. of Electr. Eng., Lakehead Univ., Thunder Bay, ON
Abstract :
New binary sequences of period N = 4(2m - 1) for even m ges 4 are found, where the sequences are described by a 4 X (2m - 1) array structure. The new sequences are almost balanced and have four- valued autocorrelation, i.e., {N, 0, plusmn4}, which is optimal with respect to autocorrelation magnitude. The complete autocorrelation distribution and the exact linear complexity of the sequences are mathematically derived. Finally, it is shown that the sequences are implemented by a combination of linear feedback shift registers and a simple logic.
Keywords :
binary sequences; correlation methods; binary sequences; feedback shift registers; linear complexity; optimal autocorrelation magnitude; Autocorrelation; Binary sequences; Conferences; Cryptography; Information theory; Linear feedback shift registers; Logic; Multiaccess communication; Random sequences; Timing; Binary sequences; interleaved sequences; linear complexity; optimal autocorrelation;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2008.928999