Title :
Classification of BPSK and QPSK signals with unknown signal level using the Bayes technique
Author :
Hong, Liang ; Ho, K.C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
Abstract :
Automatic modulation classification through digital signal processing has found many applications in wireless communication systems, including interference identification, spectrum management and electronic warfare. In practice, wireless communication environments suffer from ill-characterized interference, fading and multipath. As a result, the level of the received signal is always time-varying and not known. This paper studies the use of the Bayes method to distinguish BPSK signal and QPSK signal without a priori knowledge of the received signal level. The maximum a posteriori classifier is derived with Rayleigh distributed signal amplitude. Simulations show that the classifier using the Bayes technique is superior to the classifier without considering the variation of signal level.
Keywords :
Bayes methods; Rayleigh channels; phase shift keying; quadrature phase shift keying; signal classification; BPSK signals; Bayes technique; DSP; QPSK signals; Rayleigh distributed signal amplitude; automatic modulation classification; digital signal processing; maximum a posteriori classifier; unknown signal level; wireless communication systems; AWGN; Additive white noise; Binary phase shift keying; Digital modulation; Interference; Quadrature phase shift keying; Radio spectrum management; Signal processing; Statistical analysis; Testing;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1205758