Method of estimating linear dimensions of object by subsurface radar sounding

International Conference on Innovations and Prospects of Development of Mining Machinery and Electrical Engineering 2018

矿业工程;电工学

Borisov, S.V.^1 ; Vyboldin, Yu K.^1

Saint Petersburg Mining University, 2, 21 Line of V.O., Saint Petersburg

199106, Russia^1

关键词: Energy gain;    Internal noise;    Linear dimensions;    Maximum likelihood criteria;    Optimal methods;    Probability of correct recognition;    Subsurface radars;    Threshold-value;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/194/6/062005/pdf
DOI  :  10.1088/1755-1315/194/6/062005

来源: IOP

【 摘 要 】

The methods for recognizing subsurface objects by the length of radar range portraits in a georadar with wideband probing signals, optimized for the maximum likelihood criterion for complex hypotheses, for the case of a known internal noise power, have been developed. It is shown that, using the optimal method, an energy gain is achieved when the threshold value of the probability of correct recognition is reached.