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Comprehensive assessment of radio channels by information symbols of MIMO-OFDM signals by means of multivariate Kalman filter
Engineering Education # 10, October 2012
DOI: 10.7463/1012.0465244
 The authors propose an algorithm which estimates and corrects the MIMO-OFDM-channel with frequency-selective fading in phase noise on the basis of the multidimensional digital Kalman filter. The channel model is constructed in the form of autoregressive function based on the Jakes model. White frequency noise is considered as a model of phase impact. Research results of the algorithm show its high efficiency in fast fading. The authors performed parametrical adaptation of the proposed algorithms and formulated approaches to assessment and correction of channel parameters with account of the features and structure of the data packet technology 802.16e /m, E-UTRA release 9 (LTE-Advanced). 
Structural and parametric synthesis of PLL frequency synthesizer
Engineering Education # 06, June 2012
DOI: 10.7463/0612.0423339
In this paper structural and parametric synthesis of PLL frequency synthesizers is proposed. The peculiarity of these devices includes existence of both external and internal noise in the system, which, in this case, does not allow to apply the classical method of structural synthesis based on the theory of optimal linear and nonlinear filtering. To solve the problem two steps were proposed. At the first stage optimal filters are synthesized separately for external and internal signal and noise sources. At the second stage structural synthesis is used, which includes properties of optimal filters obtained at the first stage.
Formation of the Synchronous Chaotic Response to a Phase-locked Loop
Engineering Education # 07, July 2012
DOI: 10.7463/0712.0420444
The authors investigated the possibility of obtaining a synchronous chaotic response to the signal generated by PLL using extended Kalman filter. The mechanism of onset of chaos in PLL system with 2-nd order astaticism was studied. The domains of stable generation of chaotic signal were obtained. By varying time update equation parameters for various SNR and sampling periods, the quality of signal recovery was investigated by using extended Kalman filter.
 
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