A new nonstationary Gaussian noise model for indoor wireless channels

Authors:
S. Salahuddin;C. Thompson;K. Chandra
Affiliations:
Center for Advanced Computation and Telecommunications, Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA;Center for Advanced Computation and Telecommunications, Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA;Center for Advanced Computation and Telecommunications, Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA
Venue:
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Year:
2006

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A new statistical model for site-specific indoor radio propagation prediction based on geometric optics and geometric probability

IEEE Transactions on Wireless Communications

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Abstract

In this paper we examine a non-stationary statistical model of the broadband response of an indoor wireless channel. The channel impulse response is comprised of a line-of-sight component and multipath components modeled by Gaussian noise weighted by exponentially decaying function of time. The aforementioned model is applied to evaluate the variability in the energy across the spectrum at the receiver. The model exhibits temporal non-stationarity in its variance and favorably captures the variability of the spectral amplitude observed in numerical simulations. It is shown that the standard deviation of the logarithm of normalized power spectral amplitude tends to 5.54 dB as signal to noise ratio approaches zero.