[Positioner] Measurement: rename variance variables

We compute only the variance for the milliwatt values, so the
variance-related variables are renamed with the _mw suffix.
This commit is contained in:
Matteo Cypriani 2012-06-19 17:13:27 +02:00
parent 812c616841
commit b952dc94ab
2 changed files with 31 additions and 31 deletions

View File

@ -108,15 +108,15 @@ void Measurement::merge(const Measurement &source)
/**
* - #ap is not deleted, only initialised to NULL.
* - #ss_list is cleared.
* - #average_dbm, #average_mw and #variance are reset to 0.
* - #average_dbm, #average_mw and #variance_mw are reset to 0.
*/
void Measurement::clear()
{
ss_list.clear() ;
average_dbm = 0 ;
average_mw = 0 ;
variance = 0 ;
variance_m2 = 0 ;
variance_mw = 0 ;
variance_mw_m2 = 0 ;
ap = NULL ;
}
@ -137,12 +137,12 @@ float Measurement::similarity(const Measurement &source) const
return ss_square_distance(source) ;
if (algorithm == "interval")
return 1 / nb_in_interval(source, get_std_deviation()) ;
return 1 / nb_in_interval(source, get_std_deviation_mw()) ;
/* Note: this score ranges from 0 (excluded) to 1 (obviously). */
if (algorithm == "interval2")
{
float std_dev = get_std_deviation() ;
float std_dev = get_std_deviation_mw() ;
float interval1 = nb_in_interval(source, 0.674 * std_dev) ;
float interval2 = nb_in_interval(source, std_dev) ;
/* Explanation: with a normal distribution, we normally have:
@ -184,8 +184,8 @@ void Measurement::recalculate_average()
{
average_dbm = 0 ;
average_mw = 0 ;
variance = 0 ;
variance_m2 = 0 ;
variance_mw = 0 ;
variance_mw_m2 = 0 ;
for (map<pkt_id_t, ss_t>::const_iterator
i = ss_list.begin() ; i != ss_list.end() ; ++i)
@ -204,9 +204,9 @@ void Measurement::update_average(ss_t ss_dbm)
average_dbm = 10.0 * log10(average_mw) ;
// Update the variance:
variance_m2 += delta * (ss_mw - average_mw) ;
variance_mw_m2 += delta * (ss_mw - average_mw) ;
if (ss_list.size() > 1)
variance = variance_m2 / (ss_list.size() - 1) ;
variance_mw = variance_mw_m2 / (ss_list.size() - 1) ;
}
@ -223,8 +223,8 @@ Measurement& Measurement::operator=(const Measurement &m)
ss_list = m.ss_list ;
average_dbm = m.average_dbm ;
average_mw = m.average_mw ;
variance = m.variance ;
variance_m2 = m.variance_m2 ;
variance_mw = m.variance_mw ;
variance_mw_m2 = m.variance_mw_m2 ;
return *this ;
}
@ -288,7 +288,7 @@ ostream &operator<<(ostream &os, const Measurement &m)
os << static_cast<int_fast16_t>(i->second)
<< '(' << i->first << ')' ;
}
os << " [AVG=" << m.average_dbm << "]" ;
os << " [AVG_dBm=" << m.average_dbm << ";AVG_mW=" << m.average_mw << ";VAR_mW=" << m.variance_mw << ";STD_mW=" << m.get_std_deviation_mw() << "]" ;
return os ;
}

View File

@ -29,12 +29,12 @@ protected:
float average_dbm ;
/// Average of all the captured signal strengths (mW)
float average_mw ;
/// Variance of all the captured signal strengths
float variance ;
/// Variance of all the captured signal strengths (mW)
float variance_mw ;
private:
/// Intermediate variable used to compute the variance
float variance_m2 ;
float variance_mw_m2 ;
protected:
@ -54,12 +54,12 @@ protected:
public:
Measurement(const AccessPoint *_ap = NULL):
ap(const_cast<AccessPoint*>(_ap)), average_dbm(0),
average_mw(0), variance(0), variance_m2(0) {}
average_mw(0), variance_mw(0), variance_mw_m2(0) {}
Measurement(const Measurement &source):
ap(source.ap), ss_list(source.ss_list),
average_dbm(source.average_dbm), average_mw(source.average_mw),
variance(source.variance), variance_m2(0) {}
variance_mw(source.variance_mw), variance_mw_m2(0) {}
~Measurement(void) ;
@ -72,9 +72,9 @@ public:
/// Returns the mean of the SS list, in dBm
float get_average_dbm() const ;
/// Returns the variance of the SS list
float get_variance() const ;
float get_variance_mw() const ;
/// Returns the standard deviation of the SS list
float get_std_deviation() const ;
float get_std_deviation_mw() const ;
/// Returns the number of SS in the SS list
int get_nb_ss() const ;
//@}
@ -101,10 +101,10 @@ public:
float ss_square_distance(const Measurement &source) const ;
/// Computes the distance to another SS value (in dBm)
float ss_square_distance(const float &ss_dbm) const ;
/// Computes the distance to another Measurement's variance
float variance_square_distance(const Measurement &source) const ;
/// Computes the distance to another variance value
float variance_square_distance(const float &var) const ;
/// Computes the distance to another Measurement's variance (mW)
float variance_mw_square_distance(const Measurement &source) const ;
/// Computes the distance to another variance value in mW
float variance_mw_square_distance(const float &var) const ;
//@}
/** @name Operators */
@ -142,15 +142,15 @@ inline float Measurement::get_average_dbm() const
}
inline float Measurement::get_variance() const
inline float Measurement::get_variance_mw() const
{
return variance ;
return variance_mw ;
}
inline float Measurement::get_std_deviation() const
inline float Measurement::get_std_deviation_mw() const
{
return sqrt(variance) ;
return sqrt(variance_mw) ;
}
@ -188,16 +188,16 @@ inline float Measurement::ss_square_distance(const float &ss_dbm) const
inline float Measurement::
variance_square_distance(const Measurement &source) const
variance_mw_square_distance(const Measurement &source) const
{
return variance_square_distance(source.variance) ;
return variance_mw_square_distance(source.variance_mw) ;
}
inline float Measurement::
variance_square_distance(const float &var) const
variance_mw_square_distance(const float &var) const
{
return ((var - variance) * (var - variance)) ;
return ((var - variance_mw) * (var - variance_mw)) ;
}