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