AR modeling-based features extraction of multiple signals for modulation recognition

Author

Lu Mingquan ; Xianci, Xiao ; Lemin, Li

Author_Institution

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

Volume

2

fYear

1998

fDate

1998

Firstpage

1385

Abstract

Modulation recognition of multiple signals is a new topic in the communication signal processing area. A novel feature-based modulation recognition method for multiple signals is proposed. The main idea of this method is that AR modeling is employed to extract instantaneous frequency and bandwidth features of each signal to be recognized from the mixed waveform intercepted by a receiver, and then a MLP neural network classifier is followed to identify the modulation types. To assess the efficiency of these features, computer simulations are also performed

Keywords

autoregressive processes; feature extraction; modulation; multilayer perceptrons; signal classification; AR modeling; MLP; bandwidth features; communication signal processing; computer simulations; feature extraction; instantaneous frequency; modulation recognition; multiple signals; neural network classifier; signal recognition; Additive noise; Autocorrelation; Bandwidth; Computer simulation; Digital modulation; Feature extraction; Frequency conversion; Frequency estimation; Neural networks; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4325-5

Type

conf

DOI

10.1109/ICOSP.1998.770879

Filename

770879