Title :
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
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;
Conference_Titel :
Wireless and Optical Communications Conference (WOCC), 2010 19th Annual
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-7597-1
DOI :
10.1109/WOCC.2010.5510597