Narrowband interference cancellation in a chaotic CDMA communication system

Author

Huang, Xinping ; Leung, Henry

Author_Institution

Appl. Silicon Inc., Ottawa, Ont., Canada

fYear

1995

fDate

17-19 May 1995

Firstpage

437

Lastpage

440

Abstract

A novel approach is proposed for narrowband interference cancellation in a chaotic code division multiple access (CDMA) systems, in which a chaotic spreading sequence is employed instead of a conventional M-sequence. The narrowband interference is modelled as an autoregressive (AR) process and the interference cancellation becomes a problem of AR model identification in the chaotic noise. A dynamic-based estimation technique, called the minimum phase space volume (MPSV), is used to estimate the AR parameters. Simulation shows that the new approach consistently outperforms the least squares method over wide range of signal-to-noise-plus-interference ratio

Keywords

autoregressive processes; chaos; code division multiple access; interference suppression; parameter estimation; spread spectrum communication; AR model identification; AR parameter estimation; AR process; autoregressive process; chaotic CDMA communication system; chaotic code division multiple access; chaotic noise; chaotic spreading sequence; dynamic-based estimation technique; minimum phase space volume; narrowband interference cancellation; signal-to-noise-plus-interference ratio; simulation; Chaotic communication; Frequency; Interference cancellation; Interference suppression; Least squares methods; Multiaccess communication; Narrowband; Noise cancellation; Phase estimation; Spread spectrum communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-2553-2

Type

conf

DOI

10.1109/PACRIM.1995.519563

Filename

519563