Application of second-order statistics for an indoor radio channel model

The secondary statistics for an indoor radio impulse response model in the factory environment are investigated. Under the assumption that multipath signal amplitudes are jointly log-normally distributed over local areas and excess delay, the application of second-order statistics (correlation) is presented. In addition, the distributions of received power within a particular excess delay interval are found for both global and local areas. It is shown that the log-normal distribution describes the fading of multipath components over local areas for particular excess delays. Moreover, individual multipath signal strengths are log-normal about a mean power law of the form d ⁿ. The log-normal distribution is attractive for modeling the impulse response amplitudes because correlation data are easily incorporated. Conditional probabilities of path occupancy are presented which show the effect power control will have on indoor radio systems