Modulation Classification Based on Cyclic Spectral Features for Co-Channel Time-Frequency Overlapped Two-Signal

Author

Fu Haitao ; Wan Qun ; Shi Rong

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2009

fDate

16-17 May 2009

Firstpage

31

Lastpage

34

Abstract

A modulation classification algorithm based on cyclic spectral features is presented to solve the problems in modulation classification for time-frequency overlapped two-signal in co-channel. Each signalpsilas features from the cyclic spectrum are extracted, and a multi-pole classifier is proposed to classify the time-frequency overlapped signals respectively in the combination of BPSK, QPSK, OQPSK and MSK signals automatically. Both theoretical analysis and simulation via Matlab verify that the algorithm is reasonable and efficient.

Keywords

cochannel interference; modulation; time-frequency analysis; co-channel time-frequency overlapped two-signal; cyclic spectral features; modulation classification; multi-pole classifier; spectral correlation function; Algorithm design and analysis; Analytical models; Circuits; Classification algorithms; Gaussian noise; RF signals; Signal analysis; Signal processing; Signal processing algorithms; Time frequency analysis; communication signals; modulation classification; spectral correlation function; time-frequency overlapped;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3614-9

Type

conf

DOI

10.1109/PACCS.2009.34

Filename

5232279