2.2 Test solutions and their analyses
The following solutions were obtained and compared: (1)
free INS navigation solution, (2) free INS solution supported
by DOVs (3) GPS/INS solution (“true” reference), (4) free
INS solution supported by DOVs and ZUPTs (land-based
only), (5) GPS/INS solution supported by DOVSs (gravity-
enhanced reference solution).
DOV (ArcSec) and Position Error (Meter) in East-West Direction 5
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B : | Ja0 =
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a cr p E RE
4 LM QM fy be = 5
2D 500 1000 .-1500. 2000 . 2500 © 3000 300 40000
Epoch From 322970 To 326798 [Second]
Figure 2. East- West DOV and corresponding position error
(mean DOV (pt) was used) bounded by +36.
2.3. DOV effects on gyro and accelerometer errors
Figures 3a and 3b illustrate the actual DOV signature along
the land-based trajectory, and the gravity errors in N, E and
D directions, estimated by the Kalman filter in the case when
only normal gravity was used in the compensation procedure
(solution 3). Figure 4 displays the difference between the true
and the estimated DOVs, and the difference in the third
component, the gravity disturbance, which is the actual
difference between the two estimates (solution 3 and 5) since
the gravity disturbance is not compensated for together with
DOVs, for the airborne data set. For clarity, note that once
DOVs are compensated for, they are fixed to a sigma of +I
arcsec in the GPS/INS filter, and only the gravity disturbance
is estimated.
DOVv: Arcsec
7 T T T T T T ]
“mewn : E
B Hr = RROACERRROE RW RR WEE RAC ERE WR a
T — Dres Preis bugis ees b pn Senin Lee
; = North-South (xi) with mean=0.3arcsec
; *** East-West (eta) with mean=6.0arcsec |
O dried rE TTT EY E S A
o 1
ca : ; !
e 4 ' '
S3 Y rus i sce] br m $e eos iue E ue. ncn =
dl. leere ire nRBE +
mmm mm bh hee en demas =
a 1 : : : : ^st
0 | 1 1 | 1 I |
0 500 1000 1500 2000 — 2500. 3000 3500 4000
Start Epoch: 322970 End Epoch: 326799
Figure 3a. DOV for land-based GPS/INS dataset.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B5. Istanbul 2004
Gravity Disturbance N,E,D: Arcsec
Arcsec
| i | i i j
500 1000 . 1500 2000 20 3000 3500 4000
Start Epoch: 322970 End Epoch; 326799 ;
Figure 3b. DOVs and gravity disturbance (D) estimated by
GPS/INS filter with no DOV compensation (solution 3);
land-based data set.
Figures 3a-b and Table ! show the difference between the
estimated DOVs and the true DOVs at the level of ~8 arcsec.
Clearly, the estimated DOVs are substantially different from
the true values, indicating that the estimates absorb some
signal from other parameters in the state vector. This
suggests that introducing DOVs directly may remove
noticeable errors in tilt and possibly in gyro and
accelerometer error estimates, as these components are
correlated. Indeed, further analysis of the differences
between the IMU errors obtained with the two solutions (3
and 5), with and without DOVs, indicates that direct DOV
compensation affects the sensor error estimates. Figures 5-6,
for example, illustrate the accelerometer bias and its RMS
estimated by GPS/INS filter with no DOV compensation,
and Figure 7 displays the difference between the
accelerometer bias from Figure 5 and the one estimated by
the filter where DOV compensation was included. Figure 8
illustrates the corresponding RMS improvement due to the
DOV compensation.
Gravity Disturhance N,E,D: Arcsec
15
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e
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o
<
-15
Eb-—-——— ea E NAN ee a IE RES
-25
3n y
3 ‘
35 | | l | | | | |
0 . 500 1000 1500 2000 2500 3000 3500 4000 4600
Start Epoch: 161319 End Epoch: 165700
Figure 4. Difference between the true and the estimated
(solution 3) DOVs; D is the difference between the gravity
disturbance estimated by solutions (3) and (5);
airborne data set.
Interna
Error
| AccBi
AccBi
AccBi
AccSI
AccSI
AccSI
GyroE
GyroE
GravE
GravE
GravE
AccBi
| AccBi
AccBi
AccSF
AccSF
AccSF
GyroB
GyroB
Gyro
GravE
GravE
GravE
Tabl
and (
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