Convolutional spatial filtering applied to pilot power measurements

Drive tests are important means to evaluate critical properties of a wireless network in operation. One is for example interested in coverage of the network, and therefore, the received power of a dedicated pilot signal is monitored to estimate the spatial variations of the power gain. With uniform time-sampling and a varying velocity, the typical temporal filter fails to extract the interesting information. In this paper we apply convolutional spatial filtering to resolve the problem, both causal and non-causal. Relations to spatial data analysis methods are also commented upon. Simulations indicate significant improvements.