Using a combined deconvolution approach to improve measurement and modelling based on the RET theory

Vegetal barriers presented in the path of radio wave propagation has an key effect on designing wireless communication links. In recent years the theory of Radiative Energy Transfer (RET) has been adopted as a reliable tool to prediction propagation of radio wave through vegetation. The developed RET model requires 4 independent input parameters, which so far had to be extracted from measurements. However, one major factor compromising accuracy of the parameters is distortion caused by the receiving antenna. The measured outcome is a convolution product of the signal pattern and the radiation pattern of the receiver, and therefore needs to undergo an inverse process, i.e. deconvolution, before any parameter can be derived from it. This study proposed a combined method using a prefiltering and the Jansson deconvolution to improve performance of the RET theory. This approach is demonstrated on the signals measured in vegetation setup in an anechoic chamber.