JUSTIFICATION FOR OPTIMIZATION OF OPERATION OF NOISE TEMPERATURE ESTIMATES DIVISION AT THE ADJACENT OBSERVATION INTERVALS IN A RADIOMETER WITH AN UNSTABLE AMPLIFICATION FACTOR

Authors

  • O. V. Odokienko

DOI:

https://doi.org/10.26906/SUNZ.2018.1.059

Keywords:

modulation radiometer, amplifying factor, noise temperature estimate, method of Maximum Likelihood Estimations, signal processing, noise temperature estimation

Abstract

In the article an optimization of operation of noise temperature estimates division at the adjacent observation intervals in a radiometer with an unstable amplification factor was justified. The separate optimization problem of statistical estimates of random processes noise temperatures observed on two contiguous time intervals of equal length with opened and closed input of an unstable amplification factor modulation radiometer was solved using the method of Maximum Likelihood Estimations. It was shown, that one of the significant operations of the synthesized primary signal processing algorithm is the division operation of the signals average powers estimates, changed on the adjacent time intervals. The analytical margin of errors expressions for noise temperature estimates of investigated source and amplification factor instability were derived. These margins of errors are dependent on observation time, width of input working frequencies, signal to noise ratio and amplification factor instability. The obtained signal processing algorithm is reasonable to use in radiometers, pre-detector paths of which contain rather cheap low-stable amplifiers.

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Published

2018-02-08