Title :
Adaptive detection of CPFSK signals in non-Gaussian noise
Author :
Zeghlache, D. ; Soliman, S.S. ; Schucany, W.R.
Author_Institution :
Dept. of Electr. Eng., Cleveland State Univ., OH, USA
Abstract :
Adaptive detection of CPFSK (continuous phase frequency shift keying) signals corrupted by class-A impulse noise is presented. The EM algorithm (E for expectation, M for maximize) is used to estimate the noise characteristics. Performance of the EM algorithm and the adaptive detector are reported. The results show that the adaptive detector performs very close to optimal for reasonable sample sizes and well-separated components. Even when the sample size is reduced and the components are close together, the performance of the adaptive detector is still very acceptable despite the degradation. The EM algorithm is not restricted to class-A noise.<>
Keywords :
frequency shift keying; minimum shift keying; signal detection; CPFSK signals; adaptive signal detection; class-A impulse noise; continuous phase frequency shift keying; nonGaussian noise; Adaptive signal detection; Bandwidth; Electromagnetic interference; Frequency shift keying; Noise level; Phase detection; Phase frequency detector; Signal detection; Signal processing; Working environment noise;
Conference_Titel :
System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
Conference_Location :
Charlotte, NC, USA
Print_ISBN :
0-8186-0847-1
DOI :
10.1109/SSST.1988.17026
