LogNormalShadowing Class Reference [analogueModels - AnalogueModel implementations]

Channel state implementing log-normal shadowing. More...

#include <LogNormalShadowing.h>

Inherits AnalogueModel.

Collaboration diagram for LogNormalShadowing:

List of all members.

Public Member Functions
	LogNormalShadowing (double mean, double stdDev, simtime_t interval)
	Takes the mean and standard deviation of the log normal distributed attenuation values as well as the inteval in which to define key entries in (accuracy of the model).
virtual void	filterSignal (Signal &s)
	Calculates shadowing loss based on a normal gaussian function.
Protected Member Functions
double	randomLogNormalGain () const
	Returns a random log normal distributed gain factor.
Protected Attributes
double	mean
	Mean of the random attenuation in dB.
double	stdDev
	Standart deviation of the random attenuation in dB.
simtime_t	interval
	The interval to set attenuation entries in.
Static Protected Attributes
static DimensionSet	dimensions
	The dimensions of this analogue model.

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Detailed Description

Channel state implementing log-normal shadowing.

An example config.xml for this AnalogueModel can be the following:

	<AnalogueModel type="LogNormalShadowing">
		<!-- Mean attenuation in dB -->
		<parameter name="mean" type="double" value="0.5"/>

		<!-- Standart deviation of the attenuation in dB -->
		<parameter name="stdDev" type="double" value="0.25"/>

		<!-- Interval in which to define attenuation for in seconds -->
		<parameter name="interval" type="double" value="0.001"/>
	</AnalogueModel>
   

Author:

Hermann S. Lichte, Karl Wessel (port for MiXiM)

Date:

2007-08-15

Definition at line 42 of file LogNormalShadowing.h.

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Member Function Documentation

double LogNormalShadowing::randomLogNormalGain

(

)

const [protected]

Returns a random log normal distributed gain factor.

The gain factor is below 1.0 so its an actual attenuation.

Definition at line 26 of file LogNormalShadowing.cc.

References FWMath::dBm2mW(), mean, and stdDev.

Referenced by filterSignal().

                                                     {
  return FWMath::dBm2mW(-1.0 * normal(mean, stdDev));
}

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The documentation for this class was generated from the following files:

• modules/analogueModel/LogNormalShadowing.h
• modules/analogueModel/LogNormalShadowing.cc