Title :
An estimation theoretic approach to the asynchronous detection of PSK signals
Author :
Cristi, Roberto ; Michael, Sherif
Author_Institution :
Dept. of Electr. & Comput. Eng., US Naval Postgraduate Sch., Monterey, CA, USA
Abstract :
An algorithm is presented for smoothing data that are modeled piecewise by linear state-space equations from measurements corrupted by additive noise. Its main feature is the combination of a Markov model with Kalman filtering (KF) techniques in order to smooth and segment the data within the regions and detect the instant when the transitions occur. Particular attention is given to the filtering and segmentation of sinusoidal signals with periodic phase shifts, and the algorithm is shown to operate as a PSK detector
Keywords :
Kalman filters; estimation theory; filtering and prediction theory; phase shift keying; signal detection; Kalman filtering; Markov model; PSK signals; additive noise; asynchronous detection; estimation theoretic approach; filtering; linear state-space equations; periodic phase shifts; segmentation; smoothing; transitions; Equations; Estimation theory; Filtering; Kalman filters; Phase shift keying; Signal detection; Signal processing; Signal processing algorithms; State estimation; State-space methods;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.111982
