A stochastic image-based indoor channel model for use in ultra-wideband 3-D sensor array simulations

A simple, robust 3-D stochastic image-based indoor channel (SIBIC) model is presented as an alternative to a statistical or a deterministic model for a rectangular room environment. This model is based on an image model; however, it treats the virtual point sources in the image model as clusters. Th...

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Bibliographic Details
Main Authors: Le, K.D., Hoffman, M.W., Palmer, R.D.
Format: Conference Proceeding
Language:English
Subjects:
Bandwidth
Delay
Image generation
Image sampling
Image sensors
Robustness
Sensor arrays
Stochastic processes
Transmitters
Ultra wideband technology
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Summary:A simple, robust 3-D stochastic image-based indoor channel (SIBIC) model is presented as an alternative to a statistical or a deterministic model for a rectangular room environment. This model is based on an image model; however, it treats the virtual point sources in the image model as clusters. The simulation results show this model introduces physically meaningful spreading in the mean excess delay and root-mean-squared delay spread. An application of the model is the generation of realistic array data for 3-D sensor array algorithm development where realistic spreading and angular dependencies are required.
DOI:10.1109/UWBST.2003.1267852