Dimension reduction techniques for Bayes Doppler shift estimations in in telecommunication channels

Radio engineering. Electronics. Telecommunication systems


Аuthors

Latyshev V. V.

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

e-mail: lvv@mai.ru

Abstract

Abstract—The subspace-based technique is used for Doppler shift estimations of a signal of the known waveform. The tool to find required subspaces is the special orthogonal decomposition of received data. It allows concentrate Fisher information about desired parameter in a small number of the first terms of the decomposition. This approach gives the low-dimensional vector of sufficient statistics. It leads to computationally efficient Bayes estimation.

Keywords:

fisher’s information; Doppler shift estimation; Cramer-Rao bound; dimension reduction.


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