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RTKLIB PPP algorithm against Single point poisitioning

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1

I've been looking for a standalone single frequency carrier-phase based positioning method and I found out PPP (I know it's not the same). According to literature, the main issue of the carrier-phase based positioning is the resolution of the integer ambiguity and this is usually done by:

1. Differencing the observables from the user receiver (or rover) with the measurements from a reference receiver that is spatially close in order to remove common biases.




2. Removing the biases directly by either using a linear combination between observables, or estimating them or obtaining their values from an external source.

Now, I've recorded data with a single frequency ublox receiver and plotted it with RTKNAVI (real-time GUI-API from RTKLIB) as static PPP and single point positioning. The result is much better accuracy using the PPP method than with SPP one even if no reference or correction data is used.

How can this happen?

How is the integer ambiguity computed just using the raw-data from the ublox?

How can this be understood taking into account the previously mentioned points?

gps rtklib

share|improve this question

edited Jul 27 '18 at 20:26

PolyGeo♦

54k1782246

asked Jul 27 '18 at 12:06

paulzabapaulzaba

61

bumped to the homepage by Community♦ 7 mins ago

This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.

add a comment | 

1

I've been looking for a standalone single frequency carrier-phase based positioning method and I found out PPP (I know it's not the same). According to literature, the main issue of the carrier-phase based positioning is the resolution of the integer ambiguity and this is usually done by:

1. Differencing the observables from the user receiver (or rover) with the measurements from a reference receiver that is spatially close in order to remove common biases.




2. Removing the biases directly by either using a linear combination between observables, or estimating them or obtaining their values from an external source.

Now, I've recorded data with a single frequency ublox receiver and plotted it with RTKNAVI (real-time GUI-API from RTKLIB) as static PPP and single point positioning. The result is much better accuracy using the PPP method than with SPP one even if no reference or correction data is used.

How can this happen?

How is the integer ambiguity computed just using the raw-data from the ublox?

How can this be understood taking into account the previously mentioned points?

gps rtklib

share|improve this question

edited Jul 27 '18 at 20:26

PolyGeo♦

54k1782246

asked Jul 27 '18 at 12:06

paulzabapaulzaba

61

bumped to the homepage by Community♦ 7 mins ago

This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.

add a comment | 

I've been looking for a standalone single frequency carrier-phase based positioning method and I found out PPP (I know it's not the same). According to literature, the main issue of the carrier-phase based positioning is the resolution of the integer ambiguity and this is usually done by:

1. Differencing the observables from the user receiver (or rover) with the measurements from a reference receiver that is spatially close in order to remove common biases.




2. Removing the biases directly by either using a linear combination between observables, or estimating them or obtaining their values from an external source.

Now, I've recorded data with a single frequency ublox receiver and plotted it with RTKNAVI (real-time GUI-API from RTKLIB) as static PPP and single point positioning. The result is much better accuracy using the PPP method than with SPP one even if no reference or correction data is used.

How can this happen?

How is the integer ambiguity computed just using the raw-data from the ublox?

How can this be understood taking into account the previously mentioned points?

gps rtklib

share|improve this question

edited Jul 27 '18 at 20:26

PolyGeo♦

54k1782246

asked Jul 27 '18 at 12:06

paulzabapaulzaba

61

share|improve this question

edited Jul 27 '18 at 20:26

PolyGeo♦

54k1782246

asked Jul 27 '18 at 12:06

paulzabapaulzaba

61

share|improve this question

edited Jul 27 '18 at 20:26

PolyGeo♦

54k1782246

asked Jul 27 '18 at 12:06

paulzabapaulzaba

61

edited Jul 27 '18 at 20:26

PolyGeo♦

54k1782246

edited Jul 27 '18 at 20:26

PolyGeo♦

54k1782246

asked Jul 27 '18 at 12:06

paulzabapaulzaba

61

asked Jul 27 '18 at 12:06

paulzabapaulzaba

61

1 Answer
1

active

oldest

votes

0

RTKLIB PPP, and Precise Point Positioning in general, models the atmospheric delays explicitly in the Kalman Filter of the algorithm, while the non-PPP solutions do not. Both Single and PPP may make use of the Ground Based or Satellite Based Augmentation Systems to improve their solutions, but the PPP system can dynamically adapt estimates of atmospheric delays to match local conditions, resulting in higher accuracies.

In the RTKLIB code, you could dig around with the differences in

https://github.com/tomojitakasu/RTKLIB/blob/master/src/pntpos.c

and

https://github.com/tomojitakasu/RTKLIB/blob/master/src/ppp.c

In particular the udtrop_ppp(rtk_t *rtk) processing.

share|improve this answer

edited Nov 12 '18 at 20:43

answered Nov 12 '18 at 20:30

Dave XDave X

840517

add a comment | 

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RTKLIB PPP, and Precise Point Positioning in general, models the atmospheric delays explicitly in the Kalman Filter of the algorithm, while the non-PPP solutions do not. Both Single and PPP may make use of the Ground Based or Satellite Based Augmentation Systems to improve their solutions, but the PPP system can dynamically adapt estimates of atmospheric delays to match local conditions, resulting in higher accuracies.

In the RTKLIB code, you could dig around with the differences in

https://github.com/tomojitakasu/RTKLIB/blob/master/src/pntpos.c

and

https://github.com/tomojitakasu/RTKLIB/blob/master/src/ppp.c

In particular the udtrop_ppp(rtk_t *rtk) processing.

share|improve this answer

edited Nov 12 '18 at 20:43

answered Nov 12 '18 at 20:30

Dave XDave X

840517

add a comment | 

0

RTKLIB PPP, and Precise Point Positioning in general, models the atmospheric delays explicitly in the Kalman Filter of the algorithm, while the non-PPP solutions do not. Both Single and PPP may make use of the Ground Based or Satellite Based Augmentation Systems to improve their solutions, but the PPP system can dynamically adapt estimates of atmospheric delays to match local conditions, resulting in higher accuracies.

In the RTKLIB code, you could dig around with the differences in

https://github.com/tomojitakasu/RTKLIB/blob/master/src/pntpos.c

and

https://github.com/tomojitakasu/RTKLIB/blob/master/src/ppp.c

In particular the udtrop_ppp(rtk_t *rtk) processing.

share|improve this answer

edited Nov 12 '18 at 20:43

answered Nov 12 '18 at 20:30

Dave XDave X

840517

add a comment | 

RTKLIB PPP, and Precise Point Positioning in general, models the atmospheric delays explicitly in the Kalman Filter of the algorithm, while the non-PPP solutions do not. Both Single and PPP may make use of the Ground Based or Satellite Based Augmentation Systems to improve their solutions, but the PPP system can dynamically adapt estimates of atmospheric delays to match local conditions, resulting in higher accuracies.

In the RTKLIB code, you could dig around with the differences in

https://github.com/tomojitakasu/RTKLIB/blob/master/src/pntpos.c

and

https://github.com/tomojitakasu/RTKLIB/blob/master/src/ppp.c

In particular the udtrop_ppp(rtk_t *rtk) processing.

share|improve this answer

edited Nov 12 '18 at 20:43

answered Nov 12 '18 at 20:30

Dave XDave X

840517

share|improve this answer

edited Nov 12 '18 at 20:43

answered Nov 12 '18 at 20:30

Dave XDave X

840517

answered Nov 12 '18 at 20:30

Dave XDave X

840517

answered Nov 12 '18 at 20:30

Dave XDave X

840517