Dmitry Umansky

  • Citations Per Year
Learn More
In this article, we propose a new hybrid modeling method for indoor-to-outdoor radio coverage prediction. The proposed method is a combination of a ray-optical channel modeling approach and the frequency domain ParFlow method. While the former is widely used for modeling outdoor propagation environments, the latter is computationally efficient and accurate(More)
In this paper we propose to use finite difference propagation methods to evaluate the wide band properties of the fast fading. For this purpose we adapted the MR-FDPF propagation model to simulate large bandwidth by combining numerous narrow band simulations. The results are compared with a channel sounder measurement campaign covering a bandwidth of up to(More)
In this article, we analyze different ways to estimate the temporal autocorrelation function (TACF) and the frequency correlation function (FCF) of wideband mobile radio channels from real-world channel measurements. The way the TACF and FCF are estimated depends on whether the measured channel is autocorrelation-ergodic with respect to time and/or(More)
A new method is proposed for estimating the velocity of wideband mobile stations (MSs) equipped with multiple antennas. The MS speed is determined using the well-known relationship between the direction-of-arrivals (DOAs) and the Doppler frequency shifts experienced by the multipath signal components. The method is based on the assumption that the multipath(More)
In this report, we propose a modification of the multi-resolution frequency domain ParFlow (MR-FDPF) method that allows simulating radio propagation channels in a frequency range. The performance of the proposed MR-FDPF implementation has been analyzed based on different realistic propagation scenarios. Key-words: ParFlow, TLM, wave propagation, indoor(More)
In this paper, we propose a method for designing measurement-based stochastic models for simulating wideband multiple-input multiple-output (MIMO) wireless channels. The proposed method allows synthesizing channel transfer functions with the spatial-temporal-frequency correlation properties approximating those of real-world radio channels. The parameters of(More)
In this work, we propose the multichannel twodimensional (2D) autoregressive (AR) model for multiple-input multiple-output (MIMO) wideband mobile wireless channels. The parameters of the proposed model can be estimated from the realworld measurement data. For this purpose, we suggest using a straightforward extension of the prediction error minimization(More)
  • 1