Discrete likelihood ratio test for intelligent signal recognition in software defined radio

Author

Xu, Jefferson L. ; Zhou, MengChu ; Su, Wei

Author_Institution

Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA

fYear

2010

fDate

14-15 May 2010

Firstpage

1

Lastpage

6

Abstract

Only very few computational complexity reduced automatic modulation recognition methods have been invented to satisfy the seamless demodulation requirement arising from software defined radio (SDR). Among them, a discrete likelihood ratio test (DLRT) based rapid estimation approach was introduced recently in our prior work and capable of identifying most of M-ary linear digital modulation schemes blindly in real-time. This paper intends to present its comprehensive performance evaluation results with a variety of classification cases.

Keywords

communication complexity; demodulation; maximum likelihood estimation; software radio; M-ary linear digital modulation scheme; automatic modulation recognition method; computational complexity; discrete likelihood ratio test; intelligent signal recognition; rapid estimation approach; seamless demodulation requirement; software defined radio; Automatic testing; Baseband; Computational complexity; Computational intelligence; Demodulation; Digital modulation; Gaussian noise; Radio transmitters; Software radio; Software testing; Software defined radio; adaptive modulation; maximum likelihood ratio test; modulation classification; modulation recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless and Optical Communications Conference (WOCC), 2010 19th Annual

Conference_Location

Shanghai

Print_ISBN

978-1-4244-7597-1

Type

conf

DOI

10.1109/WOCC.2010.5510597

Filename

5510597