DIRECT-SEQUENCE SPREAD-SPECTRUM WITH TRANSFORM DOMAIN INTERFERENCE SUPPRESSION

1995 ◽  
Vol 05 (02) ◽  
pp. 167-179 ◽  
Author(s):  
TAKIS KASPARIS ◽  
MICHAEL GEORGIOPOULOS ◽  
QURBAN MEMON
Keyword(s):  
Spread Spectrum ◽  
Interference Suppression ◽  
Direct Sequence Spread Spectrum ◽  
Lms Algorithm ◽  
Transform Domain ◽  
Direct Sequence ◽  
New Techniques ◽  
Using Data ◽  
Notch Filtering ◽  
The Time Domain

The performance of a direct-sequence spread-spectrum (DS-SS) receiver employing new techniques for multiple non-stationary interference suppression is presented. These techniques are based on transform domain order statistics and they selectively suppress spectral components that are sufficiently large and narrow. Other important advantages are also discussed. The bit error rate performance is determined by Monte-Carlo simulations and it is compared to the performance of fixed notch filtering and of the well-known LMS algorithm. The effect of using data windowing is examined, and results with single-tone, narrow-band, stationary, non-stationary and multiple interference are presented. A comparison of the amount of computation required by the proposed transform domain approach to that of the time-domain LMS algorithm is also presented.

The Application of a Linear FM Interference Suppression in DSSS Technology Systems

2014 ◽  
Vol 644-650 ◽  
pp. 4599-4602
Author(s):  
Gang Fu ◽  
Jian Hua Lin ◽  
Qian He
Keyword(s):  
Spread Spectrum ◽  
Communication System ◽  
Interference Suppression ◽  
Direct Sequence Spread Spectrum ◽  
Signal Interference ◽  
Interference Signal ◽  
Direct Sequence ◽  
Research Focus ◽  
Wideband Interference ◽  
Suppression Technique

Spread spectrum communication system wideband interference suppression technique has drawn increasing attention. In this paper, the typical broadband interference signal interference LFM (Linear Frequency-Modulated, LFM), for example, the results of research focus and reviews the current direct sequence spread spectrum (Direct Sequence Spread Spectrum, DSSS) system wideband interference suppression.

Interference Suppression for Satellite Navigation Based on Neural Network and Wavelet Packets Transform

2012 ◽  
Vol 457-458 ◽  
pp. 1111-1117
Author(s):  
Yang Chun Shi ◽  
You Bao Liu
Keyword(s):  
Neural Network ◽  
Spread Spectrum ◽  
Simple Structure ◽  
Interference Suppression ◽  
Direct Sequence Spread Spectrum ◽  
Wavelet Packets ◽  
Interference Signal ◽  
Transform Domain ◽  
System A ◽  
Data Adaptive

To suppress the interference in the direct sequence spread spectrum (DSSS) system, a transform domain message data adaptive identify (TISI) algorithm is proposed in this paper, based on two improved algorithms: Power distributing predominance wavelet packets transform (PDP-WPT) and extended BP neural network (EBPNN). Firstly, PDP-WPT is presented to track the interference signal effectively, which improves the convergence rate of TISI. Secondly, the message data can be identified in transform domain by adaptability EBPNN, which has simple structure and enhanced numerical robustness. Simulation results show that TISI can improve the capability of interference suppression by 32% compared with widely used conventional algorithms.

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