Signals Modulation Recognition Based on Efficient Attribute Reduction with Neighborhood Rough Set

Autor: Juan Ping Wu, Ying Zheng Han, Xiao Fang Liang
Rok vydání: 2012
Předmět:
Zdroj: Applied Mechanics and Materials. :2301-2307
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.220-223.2301
Popis: The purpose of communication signals automatic modulation recognition is to judge signal modulation styles and estimate signal modulation parameters on the precondition of unknown modulation information. According to the seven kinds communication modulation signals studied in this paper, select a group of feature parameters based on the time-frequency characteristics of communication signals. The fast algorithm for attribute reduction based on neighborhood rough set using feature selection is introduced in detail. Then, using back propagation network as classification instruments to identify signals. The simulation shows that the method can not only reduce the number of feature parameters, but also improve the recognition rate.
Databáze: OpenAIRE