DocumentCode
1935978
Title
Adaptive Interference Excision in Digital Spread Spectrum Communication Systems Based on Wavelet Packet Transform
Author
Jiang, Yu ; Gao, Hong-you ; Yu, Shao-peng
Author_Institution
Harbin Eng. Univ., Harbin
Volume
6
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
3278
Lastpage
3282
Abstract
Input signals decomposition in digital spread spectrum communication systems(DSSS) is researched with discrete wavelet packet transform, the principle for wavelet packet transform suppressing narrow-band interference is analyzed, the former algorithm is optimized and the corresponding adaptive interference suppression technique is presented. The adaptive filtering technique is adopted to replace sub-band excision which tracks the narrow-band interference, avoiding the useful signal lost and suppressing the narrow-band interference effectively. The research results show that the adaptive wavelet packet transform based on tree structure algorithm has the merits in performance and fast interference allocation speed than the traditional sub-band excision.
Keywords
adaptive filters; discrete wavelet transforms; interference suppression; spread spectrum communication; adaptive filtering; adaptive interference excision; adaptive interference suppression; digital spread spectrum communication system; discrete wavelet packet transform; narrow-band interference suppression; subband excision; tree structure algorithm; Algorithm design and analysis; Discrete wavelet transforms; Interference suppression; Narrowband; Signal analysis; Signal resolution; Spread spectrum communication; Wavelet analysis; Wavelet packets; Wavelet transforms; Adaptive filtering; Digital spread spectrum communication systems(DSSS); Discrete wavelet packet transform; Sub-band excision;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370713
Filename
4370713
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