An asymptotic optimal algorithm for modulation classification

Author

Yang, Yawpo ; Liu, Ching-Hwa

Author_Institution

Dept. of Electr. Eng., Chung Cheng Inst. of Technol., Taoyuan, Taiwan

Volume

2

Issue

5

fYear

1998

fDate

5/1/1998 12:00:00 AM

Firstpage

117

Lastpage

119

Abstract

A suboptimal algorithm for modulation classification was proposed for classifying the modulation type of general M-ary phase-shifted keying (MPSK) signals. Yang and Soliman (see IEEE Trans. Aerosp. Electron. Syst., vol.33, no.1, p.38-45, 1997) approximated the phase probability density function of a received signal to be the Tikhonov function. Instead, we employ the exact phase density function and derive an asymptotic optimal classification algorithm. We show a structure of this proposed classifier for continuous wave (CW), binary phase-shift keying (BPSK), quaternary phase-shift keying (QPSK), and 8PSK. Besides, we give an example to demonstrate the capability of this algorithm and compare its performance to that in Yang and Soliman. It is shown that the performance is more effective.

Keywords

Gaussian channels; optimisation; pattern classification; probability; quadrature phase shift keying; signal processing; 8PSK; AWGN channel; BPSK; M-ary phase-shifted keying; MPSK signals; QPSK; Tikhonov function; asymptotic optimal algorithm; binary phase-shift keying; continuous wave; exact phase probability density function; modulation classification; performance; quaternary phase-shift keying; AWGN; Additive white noise; Binary phase shift keying; Classification algorithms; Phase modulation; Phase shift keying; Probability density function; Quadrature phase shift keying; Statistical analysis; Testing;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/4234.673652

Filename

673652