Autoregressive Modeling Approach for Non-Stationary Vehicular Channel Simulation
نویسندگان
چکیده
A framework is proposed for long-term vehicular channel simulation based on the vector time-frequency autoregressive (VTFAR) model a sparse parametric description of nonstationary multivariate random processes. Based vehicle-to-infrastructure tunnel measurements, we estimate VTFAR parameters and validate by comparing non-parametric spectra measured in terms delay spread stationarity time. In addition, stability investigated an approximation correlated scattering proposed. The experimental validation shows good agreement with RMSE only 0.01 0.4 This approach provides efficient alternative non-stationary that measurement-based computationally inexpensive.
منابع مشابه
Piecewise Quantile Autoregressive Modeling For Non-stationary Time Series
We develop a new methodology for the fitting of non-stationary time series that exhibit nonlinearity, asymmetry, local persistence and changes in location, scale and shape of the underlying distribution. In order to achieve this goal, we perform model selection in the class of piecewise stationary quantile autoregressive processes. The best model is defined in terms of minimizing a minimum desc...
متن کاملModeling clustered non-stationary Poisson processes for stochastic simulation inputs
A validated simulation model primarily requires performing an appropriate input analysis mainly by determining the behavior of real-world processes using probability distributions. In many practical cases, probability distributions of the random inputs vary over time in such a way that the functional forms of the distributions and/or their parameters depend on time. This paper answers the quest...
متن کاملA differential autoregressive modeling approach within a point process framework for non-stationary heartbeat intervals analysis Citation
Modeling heartbeat variability remains a challenging signal-processing goal in the presence of highly non-stationary cardiovascular control dynamics. We propose a novel differential autoregressive modeling approach within a point process probability framework for analyzing R-R interval and blood pressure variations. We apply the proposed model to both synthetic and experimental heartbeat interv...
متن کاملNon-stationary autoregressive filters for prediction of subsurface geological structure
Accurate decision-making in the petroleum industry is highly contingent on building a reliable model of the subsurface geological structure. Building a model of the subsurface typically involves solving an inverse problem with acquired data for various model parameters of interest like P-wave velocity, rock porosity etc. However, issues of poor data quality necessitate regularizing the inverse ...
متن کاملKernel Approach to Autoregressive Modeling
A kernel-based approach for nonlinear modeling of time series data is proposed in this paper. Autoregressive modeling is achieved in a feature space defined by a kernel function using a linear algorithm. The method extends the advantages of the conventional autoregressive models to characterization of nonlinear signals through the intelligent use of kernel functions.Experiments with synthetic s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Vehicular Technology
سال: 2022
ISSN: ['0018-9545', '1939-9359']
DOI: https://doi.org/10.1109/tvt.2021.3132859