Computation of satellite clock-ephemeris augmentation parameters for dual-frequency multi-constellation satellite-based augmentation system

doi:10.21629/JSEE.2018.06.01

Abstract

Abstract:

Dual-frequency multi-constellation (DFMC) satellitebased augmentation system (SBAS) does not broadcast fast correction, which is important in reducing range error in L1-only SBAS. Meanwhile, the integrity bound of a satellite at low elevation is so loose that the service availability is decreased near the boundary of the service area. Therefore, the computation of satellite clockephemeris (SCE) augmentation parameters needs improvement. We propose a method introducing SCE prediction to eliminate most of the SCE error resulting from global navigation satellite system GNSS broadcast message. Compared with the signal-inspace (SIS) after applying augmentation parameters broadcast by the wide area augmentation system (WAAS), SIS accuracy after applying augmentation parameters computed by the proposed algorithm is improved and SIS integrity is ensured. With global positioning system (GPS) only, the availability of category-I (CAT-I) with a vertical alert level of 15 m in continental United States is about 90%, while the availability in the other part of the WAAS service area is markedly improved. With measurements made by the stations from the crustal movement observation network of China, users in some part of China can obtain CAT-I (vertical alert limit is 15 m) service with GPS and global navigation satellite system (GLONASS).

Key words: dual-frequency multi-constellation (DFMC), satellitebased augmentation system (SBAS), orbit determination, integrity

Jie CHEN, Zhigang HUANG, Rui LI. Computation of satellite clock-ephemeris augmentation parameters for dual-frequency multi-constellation satellite-based augmentation system[J]. Journal of Systems Engineering and Electronics, 2018, 29(6): 1111-1123.

Figures/Tables 17

Fig 1

Table 1

Fig 2

Table 2

Table 3

3 Statistics of URE of GPS constellationm"

Station	URE_AK			URE_LT			URE_FLT
Station	RMS	95%	Maximum	RMS	95%	Maximum	RMS	95%	Maximum
BET1	0.731	1.425	4.723	1.356	2.409	23.223	0.868	1.727	5.359
BRW1	0.731	1.425	4.746	1.356	2.404	23.399	0.868	1.727	5.232
CDB8	0.732	1.425	4.707	1.356	2.410	23.142	0.870	1.728	5.349
FAI1	0.731	1.425	4.765	1.357	2.401	23.361	0.864	1.719	5.033
JNU1	0.730	1.425	4.798	1.358	2.392	23.410	0.861	1.710	4.565
MMD1	0.729	1.427	4.803	1.341	2.321	24.486	0.872	1.724	7.167
MMX1	0.729	1.426	4.784	1.339	2.321	24.285	0.867	1.715	6.411
MPR1	0.730	1.426	4.778	1.339	2.325	24.112	0.864	1.708	5.733
MSD1	0.730	1.426	4.781	1.340	2.332	23.968	0.861	1.703	5.117
MTP1	0.729	1.427	4.762	1.339	2.319	24.516	0.877	1.732	7.591
OTZ1	0.731	1.425	4.731	1.356	2.408	23.309	0.869	1.729	5.355
YFB1	0.729	1.424	4.846	1.352	2.369	24.090	0.870	1.726	6.205
YQX1	0.729	1.425	4.839	1.353	2.362	24.506	0.888	1.752	8.438
YWG1	0.729	1.425	4.874	1.353	2.357	23.950	0.857	1.700	4.579
YYR1	0.729	1.425	4.852	1.352	2.360	24.365	0.879	1.738	7.544
ZAB2	0.729	1.426	4.839	1.348	2.344	23.920	0.857	1.696	4.382
ZAN1	0.731	1.425	4.758	1.358	2.402	23.306	0.865	1.719	5.051
ZAU1	0.729	1.426	4.877	1.349	2.342	24.203	0.861	1.706	5.669
ZBW1	0.729	1.425	4.871	1.350	2.344	24.449	0.873	1.727	7.290
ZDC1	0.729	1.426	4.872	1.349	2.339	24.425	0.869	1.720	6.907
ZDV1	0.729	1.426	4.854	1.350	2.350	23.903	0.856	1.696	4.390
ZFW1	0.729	1.426	4.849	1.346	2.333	24.154	0.860	1.702	5.297
ZHN1	0.732	1.425	4.573	1.338	2.393	22.946	0.885	1.744	7.134
ZHU1	0.729	1.426	4.841	1.344	2.329	24.229	0.862	1.706	5.705
ZJX1	0.729	1.426	4.851	1.346	2.330	24.490	0.871	1.722	6.985
ZKC1	0.729	1.426	4.868	1.349	2.341	24.123	0.859	1.701	5.183
ZLA1	0.730	1.425	4.807	1.348	2.356	23.664	0.858	1.697	4.388
ZLC1	0.730	1.425	4.840	1.351	2.358	23.758	0.856	1.696	4.267
ZMA1	0.729	1.426	4.830	1.345	2.327	24.600	0.877	1.732	7.628
ZME1	0.729	1.426	4.863	1.347	2.334	24.269	0.862	1.707	5.858
ZMP1	0.729	1.425	4.877	1.351	2.347	24.080	0.858	1.701	5.090
ZNY1	0.729	1.426	4.870	1.349	2.342	24.462	0.873	1.726	7.258
ZOA2	0.730	1.425	4.804	1.351	2.364	23.561	0.858	1.699	4.497
ZOB1	0.729	1.426	4.877	1.349	2.340	24.314	0.865	1.713	6.297
ZSE1	0.730	1.425	4.824	1.355	2.374	23.530	0.858	1.701	4.360
ZSU4	0.729	1.427	4.764	1.352	2.346	24.971	0.911	1.781	10.146
ZTL4	0.729	1.426	4.860	1.346	2.332	24.403	0.867	1.716	6.551

Table 3

Fig 3

Fig 4

Fig 5

Fig 6

Fig 7

Table 4

Fig 8

Fig 9

Table 5

Fig 10

Table 6

Fig 11

References 24

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DFREI	${\sigma _{{\rm{DERE}}}}$
0	0.125
1	0.25
2	0.375
3	0.5
4	0.625
5	0.75
6	1
7	1.25
8	1.5
9	1.75
10	2
11	2.5
12	3
13	4
14	10

Correction error	AK	WAAS
$\Delta x$	0.436	2.099
$\Delta y$	0.451	2.171
$\Delta z$	0.434	2.598
$\Delta t$	0.580	1.786

Station	AK	WAAS
BET1	85.5	44.5
BRW1	58.6	3.5
CDB8	85.3	43.5
FAI1	82.6	51.6
JNU1	84.9	72.7
MMD1	81.6	63.2
MMX1	81.6	63.2
MMD1	79.7	42.9
MPR1	81.5	41.3
MSD1	82.2	45.7
MTP1	72.4	12.9
OTZ1	76.9	15.5
YFB1	84.7	15.3
YQX1	86.4	16.9
YWG1	YWG1 96.9	98.6
YYR1	91.2	36.8
ZAB2	92.0	97.1
ZAN1	87.4	67.2
ZAU1	90.9	96.5
ZBW1	93.9	90.9
ZDC1	90.7	94.3
ZDV1	93.2	97.5
ZFW1	89.8	97.2
ZHN1	51.8	0.0
ZHU1	89.6	95.3
ZJX1	85.7	90.5
ZKC1	91.2	98.0
ZLA1	88.0	79.4
ZLC1	93.2	96.9
ZMA1	81.1	70.8
ZME1	90.8	97.7
ZMA1	81.1	70.8
ZMP1	94.2	97.7
ZNY1	92.8	92.7
ZOA2	87.8	76.3
ZOB1	85.0	92.0
ZSE1	95.0	94.0
ZSU4	66.1	0.2
ZTL4	88.8	95.2

Station	99% HPL	99% VPL
FJXP	83.618	234.891
GDZH	105.599	285.665
GDZJ	102.431	225.053
GSDH	69.261	81.385
GXHC	69.188	172.926
HBES	41.825	134.463
HLMH	38.670	52.066
HLWD	34.733	56.863
HNLY	60.305	160.630
JLCB	38.018	76.086
JLCL	34.763	57.031
JSLS	47.076	150.357
NMDW	35.713	61.403
NMEJ	42.521	83.628
NMEL	34.099	103.720
NMWT	33.203	76.501
QHGC	28.736	84.658
SCLH	25.559	90.178
SCYY	55.825	115.929
SDJX	29.268	142.944
SNMX	37.568	141.162
TJBD	28.835	150.096
XJAL	64.122	74.082
XJBC	66.967	71.303
XJDS	55.104	68.001
XJHT	72.067	91.013
XJML	115.335	119.324
XJRQ	55.731	75.732
XJZS	62.311	68.073
XZBG	55.162	157.675
XZNM	55.405	154.254
XZRK	59.612	202.861
YANC	28.575	91.510
YNRL	152.828	335.959
YNWS	69.421	225.789

Station	99% HPL	99% VPL
FJXP	7.462	18.351
GDZH	9.279	25.889
GDZJ	8.643	29.453
GSDH	6.724	14.986
GXHC	7.718	28.131
HBES	7.677	24.899
HLMH	6.528	11.003
HLWD	7.506	15.560
HNLY	7.059	21.217
JLCB	6.973	18.602
JLCL	6.428	11.609
JSLS	7.339	21.237
NMDW	6.107	11.390
NMEJ	6.470	13.294
NMEL	6.707	11.345
NMWT	6.116	11.672
QHGC	9.822	26.271
SCLH	7.497	18.956
SCYY	9.608	21.913
SDJX	6.706	12.712
SNMX	7.547	21.225
TJBD	6.270	11.999
XJAL	6.855	12.814
XJBC	7.502	17.205
XJDS	6.903	14.872
XJHT	7.647	16.365
XJML	7.051	14.777
XJRQ	8.050	21.767
XJZS	7.046	15.840
XZBG	8.706	23.283
XZNM	8.379	24.725
XZRK	7.437	19.162
YANC	6.591	13.172
YNRL	12.292	30.867
YNWS	8.044	19.747