DocumentCode :
2040954
Title :
One Reduced-Rank Blind Fresh Filter for Spectral Overlapping Interference Signal Extraction and DSP Implementation
Author :
Li, Xiaohuan ; Ouyang, Shan
Author_Institution :
Inf. & Commun. Sch., Guilin Univ. of Electron. Technol., Guilin
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
In this paper we begin with reviewing the concept of cyclostationarity and then illustrate that a conventional blind FRESH filter is not suitable to apply in project because the computational complexity is very high. A reduced-rank method was developed as [5][6] which is based on MSWF. Then we constructed a test model to verify the algorithm performance which implements in DSP. The Matlab simulation and the statistical outcome of DSP indicate that the method could extract spectral overlapping interference signal.
Keywords :
Wiener filters; computational complexity; digital signal processing chips; interference (signal); statistical analysis; DSP implementation; MSWF approach; Matlab simulation; computational complexity; cyclostationarity concept; frequency-shift filter; multistage Wiener filter; reduced-rank blind FRESH filter; spectral overlapping interference signal extraction; statistical analysis; Adaptive filters; Covariance matrix; Data mining; Digital signal processing; Frequency; Information filtering; Information filters; Interference; Signal processing algorithms; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
Type :
conf
DOI :
10.1109/IWISA.2009.5072986
Filename :
5072986
Link To Document :
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