DocumentCode :
3357463
Title :
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
Link To Document :
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