DocumentCode
1717912
Title
Binary sequences with large family size and high linear complexity for spread spectrum communication systems
Author
Zeng, Fanxin ; Zhang, Zhenyu
Author_Institution
Dept. of Inf. Eng., Chongqing Commun. Inst., Chongqing, China
Volume
1
fYear
2010
Abstract
Spreading sequences with low correlation, high linear complexity and large family size, in a direct-sequence spread spectrum communication system, help to minimize multiple access interference, increase security degree of system and enlarge user number, respectively. In this paper, a family of binary sequences with 5-valued low correlation, large family size and high linear complexity is presented. The proposed sequences have the same correlation distribution as the sequences in Ref. [6], and include the latter and No sequences as special cases. Although a closed-form mathematical expression regarding linear complexity of the proposed sequences can not be given, the simulation results by a computer show that the number of the proposed sequences, whose linear complexity is not less than the highest that of the sequences in Ref. [6], is quite larger than one of the sequences with the highest linear complexity in Ref. [6].
Keywords
binary sequences; correlation methods; multi-access systems; spread spectrum communication; telecommunication security; binary sequences; closed-form mathematical expression; correlation distribution; direct-sequence spread spectrum communication system; linear complexity; multiple access interference; spread spectrum communication systems; system security degree; Binary sequences; Complexity theory; Construction industry; Correlation; Security; Signal processing; Spread spectrum communication; binary sequence; correlation; family size; linear complexity; spread spectrum communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-6892-8
Electronic_ISBN
978-1-4244-6893-5
Type
conf
DOI
10.1109/ICSPS.2010.5555621
Filename
5555621
Link To Document