本文整理汇总了C#中DilutionOfPrecision类的典型用法代码示例。如果您正苦于以下问题:C# DilutionOfPrecision类的具体用法?C# DilutionOfPrecision怎么用?C# DilutionOfPrecision使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
DilutionOfPrecision类属于命名空间,在下文中一共展示了DilutionOfPrecision类的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: Randomize
/// <summary>
/// Copies the settings of the NMEA Emulator.
/// </summary>
/// <returns> A new NMEA Emulator with the same settings. </returns>
//public override Emulator Clone()
//{
// // Make a new emulator
// NmeaEmulator emulator = (NmeaEmulator)Clone(new NmeaEmulator());
// emulator._HorizontalDOP = _HorizontalDOP;
// emulator._VerticalDOP = _VerticalDOP;
// emulator._MeanDOP = _MeanDOP;
// emulator._FixMode = _FixMode;
// emulator._FixStatus = _FixStatus;
// emulator._FixMethod = _FixMethod;
// emulator._FixQuality = _FixQuality;
// emulator._MagneticVariation = _MagneticVariation;
// emulator._minHDOP = _minHDOP;
// emulator._maxHDOP = _maxHDOP;
// emulator._minVDOP = _minVDOP;
// emulator._maxVDOP = _maxVDOP;
// return emulator;
//}
public override void Randomize()
{
// Randomize the base emulation for speed/bearing
base.Randomize();
_HorizontalDOP = new DilutionOfPrecision((float)(Seed.NextDouble() * (_maxHDOP - _minHDOP) + _minHDOP));
_VerticalDOP = new DilutionOfPrecision((float)(Seed.NextDouble() * (_maxVDOP - _minVDOP) + _minVDOP));
// Mean is hypotenuse of the (X,Y,Z,n) axes.
_MeanDOP = new DilutionOfPrecision((float)Math.Sqrt(Math.Pow(_HorizontalDOP.Value, 2) + Math.Pow(_VerticalDOP.Value, 2)));
lock (Satellites)
{
if (Satellites.Count == 0)
{
int sats = Seed.Next(4, 12);
//Satellites.Add(new Satellite(32, new Azimuth(225), new Elevation(45), new SignalToNoiseRatio(25)));
Satellites.Add(new Satellite(32, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 1)
Satellites.Add(new Satellite(24, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 2)
Satellites.Add(new Satellite(25, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 3)
Satellites.Add(new Satellite(26, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 4)
Satellites.Add(new Satellite(27, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 5)
Satellites.Add(new Satellite(16, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 6)
Satellites.Add(new Satellite(14, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 7)
Satellites.Add(new Satellite(6, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 8)
Satellites.Add(new Satellite(7, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 9)
Satellites.Add(new Satellite(4, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 10)
Satellites.Add(new Satellite(19, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
if (sats > 11)
Satellites.Add(new Satellite(8, new Azimuth(Seed.Next(360)), new Elevation(Seed.Next(90)), new SignalToNoiseRatio(Seed.Next(50))));
}
}
SetRandom(true);
}
示例2: SetMeanDilutionOfPrecision
/// <summary>
/// Updates the precision as it relates to latitude, longitude and altitude.
/// </summary>
/// <param name="value">The value.</param>
protected virtual void SetMeanDilutionOfPrecision(DilutionOfPrecision value)
{
// If the new value is the same or it's invalid, ignore it
if (_meanDop.Equals(value) || value.IsInvalid)
return;
// Yes. Update the value
_meanDop = value;
// And notify of the change
if (MeanDilutionOfPrecisionChanged != null)
MeanDilutionOfPrecisionChanged(this, new DilutionOfPrecisionEventArgs(_meanDop));
}
示例3: Filter
/// <summary>
/// Adds a new observation and applies the filter.
/// </summary>
/// <param name="gpsPosition"> The new observation to add to the filter. </param>
/// <param name="deviceError"> Does not currently affect position averaging. </param>
/// <param name="horizontalDOP"> Does not currently affect position averaging. </param>
/// <param name="verticalDOP"> Does not currently affect position averaging. </param>
/// <param name="bearing"> Does not currently affect position averaging. </param>
/// <param name="speed"> Does not currently affect position averaging. </param>
/// <remarks>
/// This method updates the FilteredLocation property without consideration for SampleCount.
/// </remarks>
public override Position3D Filter(Position3D gpsPosition, Distance deviceError, DilutionOfPrecision horizontalDOP, DilutionOfPrecision verticalDOP, Azimuth bearing, Speed speed)
{
this._samples.Add(gpsPosition);
this._sampleTimes.Add(DateTime.Now);
int count = this._samples.Count;
int timeCount = this._sampleTimes.Count;
int maxCount = 0;
// Only average the number of samples specified in the constructor
while (count > _sampleCount)
{
this._samples.RemoveAt(0);
count--;
maxCount++;
}
// Only 2 times are needed, oldest and most recent.
// Try to remove as many as were removed from the sample collection.
while (timeCount > 2 && maxCount > 0)
{
this._sampleTimes.RemoveAt(0);
timeCount--;
}
Filter();
return _filteredPositon;
}
示例4: Filter
/// <summary>
/// Returns the position
/// </summary>
/// <param name="gpsPosition">The gps Position</param>
/// <param name="currentDOP">The current dilution of precision</param>
/// <param name="bearing">the directional azimuth</param>
/// <param name="speed">the magnitude of the velocity</param>
/// <returns>A Position sturcture</returns>
public Position Filter(Position gpsPosition, DilutionOfPrecision currentDOP, Azimuth bearing, Speed speed)
{
return Filter(gpsPosition, _currentState.DeviceError, currentDOP, currentDOP, bearing, speed);
}
示例5: Initialize
/// <summary>
/// Initializes the Kalman Filter using an initial observation (position)
/// </summary>
/// <param name="gpsPosition">The position at which tfilter is to begin opperating.</param>
/// <param name="deviceError">A distance measure of device error</param>
/// <param name="horizontalDOP">The horizontal dilution of precision</param>
/// <param name="verticalDOP">The vertical dilution of precision</param>
/// <param name="ellipsoid">The ellipsoid</param>
public void Initialize(Position3D gpsPosition, Distance deviceError, DilutionOfPrecision horizontalDOP, DilutionOfPrecision verticalDOP, Ellipsoid ellipsoid)
{
double fail = horizontalDOP.Value * verticalDOP.Value * deviceError.Value;
if (fail == 0 || double.IsNaN(fail) || double.IsInfinity(fail))
{
throw new ArgumentException(
"Parameters deviceError, horizontalDOP and verticalDOP must be greater than zero.");
}
_currentState = new KalmanSystemState(gpsPosition, deviceError, horizontalDOP, verticalDOP, ellipsoid);
}
示例6: UpdateState
/// <summary>
/// Updates the state.
/// </summary>
/// <param name="deviceError">The device error.</param>
/// <param name="horizontalDOP">The horizontal DOP.</param>
/// <param name="verticalDOP">The vertical DOP.</param>
/// <param name="bearing">The bearing.</param>
/// <param name="speed">The speed.</param>
/// <param name="z">The z.</param>
public void UpdateState(Distance deviceError, DilutionOfPrecision horizontalDOP, DilutionOfPrecision verticalDOP, Azimuth bearing, Speed speed, Position3D z)
{
if (_x.IsInvalid)
{
Initialize(z);
return;
}
// More insanity
double fail = horizontalDOP.Value * verticalDOP.Value * deviceError.Value;
if (fail == 0 || double.IsNaN(fail) || double.IsInfinity(fail))
{
throw new ArgumentException(
"Covariance values are invalid. Parameters deviceError, horizontalDOP and verticalDOP must be greater than zero.");
}
_deviceError = deviceError.Value;
_horizontalDOP = horizontalDOP.Value;
_verticalDOP = verticalDOP.Value;
double hCovariance = _deviceError * _horizontalDOP;
double vCovariance = _deviceError * _verticalDOP;
// Setup the observation covariance (measurement error)
_r = new SquareMatrix3D(
hCovariance, 0, 0,
0, hCovariance, 0,
0, 0, vCovariance);
#region Process Noise Estimation
// Get the translation of the last correction
CartesianPoint subX = _x.ToPosition3D(_ellipsoid)
.TranslateTo(bearing, speed.ToDistance(_delay), _ellipsoid)
.ToCartesianPoint();
// Get the vector of the translation and the last observation
//CartesianPoint w = (subX - this.z);
CartesianPoint w =
new CartesianPoint(
Distance.FromMeters(subX.X.Value - _z.X.Value), // Values are in meters
Distance.FromMeters(subX.Y.Value - _z.Y.Value), // Values are in meters
Distance.FromMeters(subX.Z.Value - _z.Z.Value)); // Values are in meters
// Setup the noise covariance (process error)
_q = new SquareMatrix3D(
Math.Abs(w.X.Value), 0, 0,
0, Math.Abs(w.Y.Value), 0,
0, 0, Math.Abs(w.Z.Value));
#endregion Process Noise Estimation
// Update the observation state
_z = z.ToCartesianPoint(_ellipsoid);
#region State vector prediction and covariance
//s.x = s.A*s.x + s.B*s.u;
//this.x = this.A * this.x + this.B * this.u;
CartesianPoint ax = _a.TransformVector(_x);
CartesianPoint bu = _b.TransformVector(_u);
_x =
new CartesianPoint(
Distance.FromMeters(ax.X.Value + bu.X.Value),
Distance.FromMeters(ax.Y.Value + bu.Y.Value),
Distance.FromMeters(ax.Z.Value + bu.Z.Value));
//s.P = s.A * s.P * s.A' + s.Q;
_p = _a * _p * SquareMatrix3D.Transpose(_a) + _q;
#endregion State vector prediction and covariance
#region Kalman gain factor
//K = s.P*s.H'*inv(s.H*s.P*s.H'+s.R);
SquareMatrix3D ht = SquareMatrix3D.Transpose(_h);
SquareMatrix3D k = _p * ht * SquareMatrix3D.Invert(_h * _p * ht + _r);
#endregion Kalman gain factor
#region Observational correction
//s.x = s.x + K*(s.z-s.H*s.x);
//this.x = this.x + K * (this.z - this.H * this.x);
CartesianPoint hx = _h.TransformVector(_x);
CartesianPoint zHx = new CartesianPoint(
Distance.FromMeters(_z.X.Value - hx.X.Value),
Distance.FromMeters(_z.Y.Value - hx.Y.Value),
Distance.FromMeters(_z.Z.Value - hx.Z.Value));
CartesianPoint kzHx = k.TransformVector(zHx);
_x =
//.........这里部分代码省略.........
示例7: OnSentenceChanged
protected override void OnSentenceChanged()
{
// First, process the basic info for the sentence
base.OnSentenceChanged();
// Cache the sentence words
string[] words = base.Words;
int wordCount = words.Length;
#region Fix mode
if (wordCount >= 1 && words[0].Length != 0)
{
switch (words[0])
{
case "A":
_FixMode = FixMode.Automatic;
break;
case "M":
_FixMode = FixMode.Manual;
break;
default:
_FixMode = FixMode.Unknown;
break;
}
}
else
{
_FixMode = FixMode.Unknown;
}
#endregion
#region Fix method
// Get the fix quality information
if (wordCount >= 2 && words[1].Length != 0)
{
switch (words[1])
{
case "1":
_FixMethod = FixMethod.NoFix;
break;
case "2":
_FixMethod = FixMethod.Fix2D;
break;
case "3":
_FixMethod = FixMethod.Fix3D;
break;
default:
_FixMethod = FixMethod.Unknown;
break;
}
}
else
{
_FixMethod = FixMethod.Unknown;
}
#endregion
#region Fixed satellites
if (wordCount >= 3)
{
// The sentence supports up to 12 satellites
_FixedSatellites = new List<Satellite>(12);
// Get each satellite PRN number
int count = wordCount < 14 ? wordCount : 14;
for (int index = 2; index < count; index++)
// Is the word empty?
if (words[index].Length != 0)
// No. Add a satellite
_FixedSatellites.Add(
// We'll only have an empty object for now
new Satellite(int.Parse(words[index], NmeaCultureInfo)));
}
#endregion
#region Dilution of Precision
// Set overall dilution of precision
if (wordCount >= 15 && words[14].Length != 0)
_PositionDop = new DilutionOfPrecision(float.Parse(words[14], NmeaCultureInfo));
else
_PositionDop = DilutionOfPrecision.Invalid;
// Set horizontal dilution of precision
if (wordCount >= 16 && words[15].Length != 0)
_HorizontalDop = new DilutionOfPrecision(float.Parse(words[15], NmeaCultureInfo));
else
_HorizontalDop = DilutionOfPrecision.Invalid;
// Set vertical dilution of precision
if (wordCount >= 17 && words[16].Length != 0)
_VerticalDop = new DilutionOfPrecision(float.Parse(words[16], NmeaCultureInfo));
else
_VerticalDop = DilutionOfPrecision.Invalid;
//.........这里部分代码省略.........
示例8: Filter
/// <summary>
/// Return a filtered Position3D from the specified parameters
/// </summary>
/// <param name="gpsPosition">The GPS position.</param>
/// <param name="deviceError">The device error.</param>
/// <param name="horizontalDOP">The horizontal DOP.</param>
/// <param name="verticalDOP">The vertical DOP.</param>
/// <param name="bearing">The bearing.</param>
/// <param name="speed">The speed.</param>
/// <returns></returns>
public abstract Position3D Filter(Position3D gpsPosition, Distance deviceError, DilutionOfPrecision horizontalDOP, DilutionOfPrecision verticalDOP, Azimuth bearing, Speed speed);
示例9: KalmanSystemState
internal KalmanSystemState(
Position3D gpsPosition, Distance deviceError,
DilutionOfPrecision horizontalDOP, DilutionOfPrecision verticalDOP,
Ellipsoid ellipsoid,
CartesianPoint u, CartesianPoint x, CartesianPoint z,
SquareMatrix3D A, SquareMatrix3D B, SquareMatrix3D H,
SquareMatrix3D P, SquareMatrix3D Q, SquareMatrix3D R)
{
this._deviceError = deviceError.IsEmpty ? DilutionOfPrecision.CurrentAverageDevicePrecision.Value : deviceError.Value;
this._horizontalDOP = horizontalDOP.IsEmpty ? DilutionOfPrecision.Good.Value : horizontalDOP.Value;
this._verticalDOP = verticalDOP.IsEmpty ? DilutionOfPrecision.Good.Value : verticalDOP.Value;
this._ellipsoid = ellipsoid == null ? Ellipsoid.Default : ellipsoid;
double hCovariance = this._deviceError * this._horizontalDOP;
double vCovariance = this._deviceError * this._verticalDOP;
this.u = u.IsInvalid ? CartesianPoint.Empty : u;
this.x = x;
this.z = z.IsInvalid ? CartesianPoint.Empty : z;
this.A = A == null ? new SquareMatrix3D() : A;
this.B = B == null ? new SquareMatrix3D() : B;
this.H = H == null ? new SquareMatrix3D() : H;
this.P = P == null ? new SquareMatrix3D() : P;
this.Q = Q == null ? SquareMatrix3D.Default(0) : Q;
this.R = R == null ? new SquareMatrix3D(
hCovariance, 0, 0,
0, hCovariance, 0,
0, 0, vCovariance) : R;
this._interval = 0;
this._errorState = Math.Sqrt(Math.Pow(hCovariance, 2) + Math.Pow(vCovariance, 2));
this._delay = TimeSpan.MaxValue;
this._lastObservation = DateTime.MinValue;
if (!gpsPosition.IsEmpty)
Initialize(gpsPosition);
}
示例10: EmulateError
protected virtual Distance EmulateError(DilutionOfPrecision dop)
{
// Calculate the error variance
//return Distance.FromMeters((Seed.NextDouble() * dop.Value) + DilutionOfPrecision.CurrentAverageDevicePrecision.ToMeters().Value); really? isn't that what the estimated precision is for and shouldn't it be +/- the estimated precision range divided by 2 as below
return Distance.FromMeters(dop.EstimatedPrecision.ToMeters().Value * (Seed.NextDouble() - 0.5));
}
示例11: KalmanSystemState
/// <summary>
/// Initializes a new instance of the <see cref="KalmanSystemState"/> struct.
/// </summary>
/// <param name="gpsPosition">The GPS position.</param>
/// <param name="deviceError">The device error.</param>
/// <param name="horizontalDOP">The horizontal DOP.</param>
/// <param name="verticalDOP">The vertical DOP.</param>
/// <param name="ellipsoid">The ellipsoid.</param>
/// <param name="u">The u.</param>
/// <param name="x">The x.</param>
/// <param name="z">The z.</param>
/// <param name="a">A.</param>
/// <param name="b">The b.</param>
/// <param name="h">The h.</param>
/// <param name="p">The p.</param>
/// <param name="q">The q.</param>
/// <param name="r">The r.</param>
internal KalmanSystemState(
Position3D gpsPosition, Distance deviceError,
DilutionOfPrecision horizontalDOP, DilutionOfPrecision verticalDOP,
Ellipsoid ellipsoid,
CartesianPoint u, CartesianPoint x, CartesianPoint z,
SquareMatrix3D a, SquareMatrix3D b, SquareMatrix3D h,
SquareMatrix3D p, SquareMatrix3D q, SquareMatrix3D r)
{
_deviceError = deviceError.IsEmpty ? DilutionOfPrecision.CurrentAverageDevicePrecision.Value : deviceError.Value;
_horizontalDOP = horizontalDOP.IsEmpty ? DilutionOfPrecision.Good.Value : horizontalDOP.Value;
_verticalDOP = verticalDOP.IsEmpty ? DilutionOfPrecision.Good.Value : verticalDOP.Value;
_ellipsoid = ellipsoid ?? Ellipsoid.Default;
double hCovariance = _deviceError * _horizontalDOP;
double vCovariance = _deviceError * _verticalDOP;
_u = u.IsInvalid ? CartesianPoint.Empty : u;
_x = x;
_z = z.IsInvalid ? CartesianPoint.Empty : z;
_a = a ?? new SquareMatrix3D();
_b = b ?? new SquareMatrix3D();
_h = h ?? new SquareMatrix3D();
_p = p ?? new SquareMatrix3D();
_q = q ?? SquareMatrix3D.Default(0);
_r = r ?? new SquareMatrix3D(
hCovariance, 0, 0,
0, hCovariance, 0,
0, 0, vCovariance);
_interval = 0;
_errorState = Math.Sqrt(Math.Pow(hCovariance, 2) + Math.Pow(vCovariance, 2));
_delay = TimeSpan.MaxValue;
_lastObservation = DateTime.MinValue;
if (!gpsPosition.IsEmpty)
Initialize(gpsPosition);
}
示例12: GpgsaSentence
public GpgsaSentence(FixMode fixMode, FixMethod fixMethod, IList<Satellite> satellites,
DilutionOfPrecision positionDilutionOfPrecision,
DilutionOfPrecision horizontalDilutionOfPrecision,
DilutionOfPrecision verticalDilutionOfPrecision)
{
// Use a string builder to create the sentence text
StringBuilder builder = new StringBuilder(128);
// Append the command word
builder.Append("$GPGSA");
// Append a comma
builder.Append(',');
#region Append the fix method
switch (_FixMode)
{
case FixMode.Automatic:
builder.Append("A");
break;
default:
builder.Append("M");
break;
}
#endregion
// Append a comma
builder.Append(',');
#region Append the fix method
switch (_FixMethod)
{
case FixMethod.Fix2D:
builder.Append("2");
break;
case FixMethod.Fix3D:
builder.Append("3");
break;
default:
builder.Append("1");
break;
}
#endregion
// Append a comma
builder.Append(',');
#region Fixed satellites
/* A comma-delimited list of satellites involved in a fix. Up to 12 satellites can be serialized.
* This one concerns me, because while the limit is 12, ever more satellites are being launched.
* Should we just serialize everything??
*/
// Get a count of satellites to write, up to 123. We'll scrub the list to ensure only fixed satellites are written
int fixedSatellitesWritten = 0;
for(int index = 0; index < satellites.Count; index++)
{
// Get the satellite
Satellite item = satellites[index];
// Is it fixed?
if(item.IsFixed)
{
// Yes. It cannot have babies
builder.Append(item.PseudorandomNumber.ToString(NmeaCultureInfo));
// Append a comma
builder.Append(",");
// Update the count
fixedSatellitesWritten++;
// If we're at 12, that's the limit. Stop here
if(fixedSatellitesWritten == 12)
break;
}
}
// If we wrote less than 12 satellites, write commas for the remainder
for(int index = 0; index < 12 - fixedSatellitesWritten; index++)
builder.Append(",");
#endregion
// NOTE: Commas have been written at this point
// Position Dilution of Precision
builder.Append(positionDilutionOfPrecision.Value.ToString(NmeaCultureInfo));
// Append a comma
builder.Append(",");
// Horizontal Dilution of Precision
builder.Append(horizontalDilutionOfPrecision.Value.ToString(NmeaCultureInfo));
//.........这里部分代码省略.........
示例13: OnSentenceChanged
//.........这里部分代码省略.........
break;
case 6:
_FixQuality = FixQuality.Estimated;
break;
case 7:
_FixQuality = FixQuality.ManualInput;
break;
case 8:
_FixQuality = FixQuality.Simulated;
break;
default:
_FixQuality = FixQuality.Unknown;
break;
}
#endregion
}
else
{
// This fix quality is invalid
_FixQuality = FixQuality.Unknown;
}
// Number of satellites in view is skipped. We'll work off of GPGSV data.
if (wordCount >= 7 && words[6].Length != 0)
{
_FixedSatelliteCount = int.Parse(words[6], NmeaCultureInfo);
}
// Is there enough information to process horizontal dilution of precision?
if (wordCount >= 8 && words[7].Length != 0)
{
#region Horizontal Dilution of Precision
_HorizontalDilutionOfPrecision =
new DilutionOfPrecision(float.Parse(words[7], NmeaCultureInfo));
#endregion
}
else
{
// The HDOP is invalid
_HorizontalDilutionOfPrecision = DilutionOfPrecision.Invalid;
}
// Is there enough information to process altitude?
if (wordCount >= 9 && words[8].Length != 0)
{
#region Altitude
// Altitude is the 8th NMEA word
_Altitude = new Distance(float.Parse(words[8], NmeaCultureInfo), DistanceUnit.Meters);
#endregion
}
else
{
// The altitude is invalid
_Altitude = Distance.Invalid;
}
// Is there enough information to process geoidal separation?
if (wordCount >= 11 && words[10].Length != 0)
{
#region Geoidal Separation
// Parse the geoidal separation
_GeoidalSeparation = new Distance(float.Parse(words[10], NmeaCultureInfo), DistanceUnit.Meters);
#endregion
}
else
{
// The geoidal separation is invalid
_GeoidalSeparation = Distance.Invalid;
}
// Is there enough info to process Differential GPS info?
if (wordCount >= 14 && words[12].Length != 0 && words[13].Length != 0)
{
#region Differential GPS information
if (words[12].Length != 0)
_DifferentialGpsAge = TimeSpan.FromSeconds(float.Parse(words[12], NmeaCultureInfo));
else
_DifferentialGpsAge = TimeSpan.MinValue;
if (words[13].Length != 0)
_DifferentialGpsStationID = int.Parse(words[13], NmeaCultureInfo);
else
_DifferentialGpsStationID = -1;
#endregion
}
else
{
_DifferentialGpsStationID = -1;
_DifferentialGpsAge = TimeSpan.MinValue;
}
}
示例14: KalmanFilter
/// <summary>
/// Kalman Filter with parameters
/// </summary>
/// <param name="initialObservation">The initial observation.</param>
/// <param name="deviceError">The device error.</param>
/// <param name="horizontalDOP">The horizontal DOP.</param>
/// <param name="verticalDOP">The vertical DOP.</param>
/// <param name="ellipsoid">The ellipsoid.</param>
public KalmanFilter(
Position3D initialObservation,
Distance deviceError,
DilutionOfPrecision horizontalDOP,
DilutionOfPrecision verticalDOP,
Ellipsoid ellipsoid)
{
_currentState = new KalmanSystemState(
initialObservation,
deviceError,
horizontalDOP,
verticalDOP,
ellipsoid);
}
示例15: GpggaSentence
public GpggaSentence(TimeSpan utcTime, Position position, FixQuality fixQuality, int trackedSatelliteCount,
DilutionOfPrecision horizontalDilutionOfPrecision, Distance altitude, Distance geoidalSeparation,
TimeSpan differentialGpsAge, int differentialGpsStationID)
{
// Use a string builder to create the sentence text
StringBuilder builder = new StringBuilder(128);
#region Append the command word
// Append the command word
builder.Append("$GPGGA");
#endregion
// Append a comma
builder.Append(',');
#region Append the UTC time
/* Convert UTC time to a string in the form HHMMSS.SSSS. Any value less than 10 will be
* padded with a zero.
*/
builder.Append(_UtcTime.Hours.ToString("0#", NmeaCultureInfo));
builder.Append(_UtcTime.Minutes.ToString("0#", NmeaCultureInfo));
builder.Append(_UtcTime.Seconds.ToString("0#", NmeaCultureInfo));
builder.Append(".");
builder.Append(_UtcTime.Milliseconds.ToString("00#", NmeaCultureInfo));
#endregion
// Append a comma
builder.Append(',');
#region Append the position
// Append latitude in the format HHMM.MMMM.
builder.Append(position.Latitude.ToString("HHMM.MMMM,I,", NmeaCultureInfo));
// Append Longitude in the format HHHMM.MMMM.
builder.Append(position.Longitude.ToString("HHHMM.MMMM,I,", NmeaCultureInfo));
#endregion
#region Append fix quality
switch (fixQuality)
{
case FixQuality.NoFix:
builder.Append("0");
break;
case FixQuality.GpsFix:
builder.Append("1");
break;
case FixQuality.DifferentialGpsFix:
builder.Append("2");
break;
case FixQuality.PulsePerSecond:
builder.Append("3");
break;
case FixQuality.FixedRealTimeKinematic:
builder.Append("4");
break;
case FixQuality.FloatRealTimeKinematic:
builder.Append("5");
break;
case FixQuality.Estimated:
builder.Append("6");
break;
case FixQuality.ManualInput:
builder.Append("7");
break;
case FixQuality.Simulated:
builder.Append("8");
break;
}
#endregion
// Append a comma
builder.Append(",");
// Append the tracked (signal strength is > 0) satellite count
builder.Append(trackedSatelliteCount.ToString(NmeaCultureInfo));
// Append a comma
builder.Append(",");
// Append the numerical value of HDOP
builder.Append(horizontalDilutionOfPrecision.Value.ToString(NmeaCultureInfo));
// Append a comma
builder.Append(",");
#region Altitude above sea level
// Append the numerical value in meters
builder.Append(altitude.ToMeters().Value.ToString(NmeaCultureInfo));
// Append a comma, the unit (M = meters), and another comma
builder.Append(",M,");
//.........这里部分代码省略.........