Article · Machine Learning and Data Analysis · January 1, 2015
Estimation of radio impulse parameters using the maximum likelihood method
К. В. Власова, V. A. Pachotin, Dmitry M. Klionskiy, Dmitrii Kaplun
Abstract
The paper is devoted to the development of an algorithm for resolution and parameter estimation of radio impulses with partially overlapping spectra in the area of their nonorthogonality (the correlation coefficient varies from 0 to 0.9).The implementation of the suggested algorithm makes it possible to design filters for resolving frequency-dependent signals and, therefore, to increase the capacity of a communication channel.The maximum likelihood method has been used to obtain analytical expressions and to perform model investigations for frequency resolution of nonorthogonal signals.The dynamic range of signal parameter estimates has been found as a function of signal-to-noise ratio and correlation coefficient.It has been shown that the likelihood functional value in its global minimum allows one to estimate noise variance and the number of radio impulses in a received signal.
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