Statistical synthesis and analysis of mutual brightness temperature and bearing estimation algorithms for a point source of noise radio-thermal radiation
DOI:
https://doi.org/10.3103/S0735272712100019Keywords:
statistical synthesis, statistical analysis, brightness temperature, bearing, noise radiation, internal noise, de-correlation filterAbstract
Brightness temperature and bearing estimation algorithms for a point source of noise radio-thermal radiation in a two-antenna radio meter are synthesized and a structure diagram that implements these algorithms is presented. We show that when estimating brightness temperature the optimum output effect is proportional to a power estimate for a sum of de-correlated observations with compensation of receiver’s internal noise temperature. Optimum output effect during bearing determination of a radiation source contains operations of generating mutual coherence functions of radio-thermal signals in first and second channels and maximum finding. Potential precision of estimates is studied and it is shown that brightness temperature and bearing estimates are statistically independent. Despite this fact frequency characteristics of de-correlation filters in the bearing channel depend on estimates generated in the radio brightness estimation channel.
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