A method of generating chaotic spread-spectrum sequences based on multilevel quantification

Author

Chengquan, An ; Tingxian, Zhou

Author_Institution

Harbin Inst. of Technol., China

Volume

4

fYear

2003

fDate

6-10 April 2003

Abstract

According to the advantages of chaotic analog sequences and chaotic binary sequences, this paper presents a method of generating chaotic binary spread-spectrum sequences by multilevel quantifying. This paper proves that the even correlation and odd correlation between such sequences of length N are Gauss distributed, with mean 0 and variance N. The performance of CDMA communication systems is closely related to the mean-square cross-correlation value between sequences, so this paper also presents the distribution of the mean-square cross-correlation value between the sequences. The sequences have good correlation properties and a large amount of such sequences can be generated. The results of simulation verify the correctness of the theoretical analysis.

Keywords

Gaussian distribution; binary sequences; chaotic communication; code division multiple access; correlation theory; spread spectrum communication; CDMA communication system; Gaussian distribution; binary sequences; chaotic spread-spectrum sequences; correlation; mean-square cross-correlation value; multilevel quantification; Analytical models; Binary sequences; Chaos; Chaotic communication; Chebyshev approximation; Communication systems; Logistics; Multiaccess communication; Power generation; Spread spectrum communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1202579

Filename

1202579