DocumentCode
547478
Title
Fast adaptive optimal basis search algorithm for PAPR reduction
Author
Jiao-jun, Li ; Heng, Li ; Li-yun, Su
Author_Institution
Sch. of Electron. Inf. & Autom., Chongqing Univ. of Technol., Chongqing, China
Volume
1
fYear
2011
fDate
10-12 June 2011
Firstpage
666
Lastpage
671
Abstract
In wavelet packet modulation system, wavelet packet basis has a significant impact on the system´s performance. To solve the defects of Best basis Selection (BBS) algorithm and Brutal Force Algorithm (BFA), this paper proposed a novel search algorithm for optimal wavelet packet basis. This algorithm decomposes the whole wavelet packet library from top to bottom by its binary branch, use Peak to Average Power Ratio (PAPR) and competitive decision to select optimal basis. Simulation results indicated that: the proposed algorithm was 15%-20% faster than BBS algorithm; 8-15 times faster than BFA algorithm, the selected optimal basis significantly reduces the PAPR without any BER degradation.
Keywords
adaptive signal processing; modulation; search problems; PAPR reduction; adaptive optimal basis search algorithm; competitive decision; optimal wavelet packet basis; peak to average power ratio; wavelet packet modulation system; Best basis selection; Brutal force algorithm; Optimal basis; PAPR; Wavelet packet modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5953306
Filename
5953306
Link To Document