The optimum interference suppressor in direct sequence spread spectrum

Author

Lin, Li ; Lu Jun ; Eryang, Zhang

Author_Institution

Inst. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China

Volume

3

fYear

2004

fDate

31 Aug.-4 Sept. 2004

Firstpage

1829

Abstract

This paper analyzes the optimum interference suppressor in direct sequence spread spectrum (DSSS), optimized in the minimum bit error bit (MBER) sense, and proves that the Wiener filter belongs to the set of the optimum suppressor. Applying the adaptive filter to DSSS, suppressing interference and despreading can be done simultaneously without prior knowledge of the spreading code and the statistical characterization of the interference. The adaptive filter using the discrete Fourier transform/least mean square ( DFT/LMS ) algorithm significantly simplifies the design of the receiver and notably enhance the capability of the anti-interference.

Keywords

Wiener filters; adaptive filters; discrete Fourier transforms; error statistics; interference suppression; least mean squares methods; optimisation; spread spectrum communication; BER; Wiener filter; adaptive filter; direct sequence spread spectrum; discrete Fourier transform; interference suppressor; least mean square; minimum bit error bit; optimization; AWGN; Adaptive filters; Additive white noise; Bit error rate; Discrete Fourier transforms; Gaussian noise; Interference suppression; Nonlinear filters; Spread spectrum communication; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on

Print_ISBN

0-7803-8406-7

Type

conf

DOI

10.1109/ICOSP.2004.1442084

Filename

1442084