This application claims priority, and benefit under 35 U.S.C. § 119(e) of Chinese Patent Application No. 202010544215.5 filed 15 Jun. 2020. The disclosure of the prior application is hereby incorporated by reference as if fully set forth below.
The present disclosure relates to the technical field of computerized ionospheric tomography, and more particularly to a computerized ionospheric tomography method based on vertical boundary truncation rays.
Computerized ionospheric tomography (CIT), a new technique for space radio sounding, is the specific application of computerized tomography (CT) technology in ionospheric sounding. Austen et al. (1986) first proposed a CIT technique based on a global navigation satellite system (GNSS), which provides a new theory and technique for the determination of ionospheric electron density (IED) structures and can realize the three-dimensional reconstruction of the IED. This technique overcomes the defects of an ionospheric model based on thin layer assumption, traditional sounding means and occultation technique. In addition, it has received close attention from ionosphere researchers at home and abroad for its numerous advantages such as long sounding time, wide coverage, low cost, and capability to depict fine ionospheric structures. CIT methods, however, have limited applications with undesirable effect due to restrictions by insufficient quantity, unreasonable geometric distribution and low vertical resolution of multi-factor observation information.
To solve the above problems, the present disclosure provides a computerized ionospheric tomography method based on vertical boundary truncation rays.
The present disclosure provides the following specific technical solution: a computerized ionospheric tomography method based on vertical boundary truncation rays includes:
S1: obtaining an initial ionospheric electron density (IED) of each voxel in a target region and an ionospheric total electron content (TEC) value along a propagation path from a global navigation satellite system (GNSS) satellite;
S2: extending the target region in step S1 so that GNSS stations within a certain range beyond the target region are encompassed within the target region;
S3: for GNSS stations within a certain range in the target region, calculating a vertical boundary truncation TEC value, denoted by PrTEC;
S4: for the GNSS stations within the target region, calculating a vertical boundary truncation TEC value, denoted by PsTEC;
S5: building a three-dimensional CIT model based on the vertical boundary truncation TEC values PrTEC and PsTEC; and
S6: resolving the CIT model in step S5 for inversion of the IED of the target region.
Further, S1 may include determining a longitude, a latitude, an altitude and time of the target region.
Further, S3 may specifically include:
S31: obtaining an initial IED value Ne0(r,t) by NeQuick model and a TEC value TEC0 with the NeQuick model as prior information;
S32: for GNSS stations within a certain range beyond the target region, calculating a truncation factor λr with the initial IED value Ne0(r,t) and TEC0; and
S33: calculating the value of PrTEC with the truncation factor λr and the ionospheric TEC value TECG along the propagation path from the GNSS satellite.
Further, S3 may specifically include:
S311: obtaining an initial IED value Ne0(r,t) by the NeQuick model and a TEC value TEC0 with the NeQuick model as prior information;
S321: for GNSS stations within a certain range beyond the target region, calculating a truncation factor λr with the initial IED value Ne0(r,t) and TEC0 according to formulas (1) and (2):
where TEC0 is the TEC value obtained with the NeQuick model as prior information; and
S331: calculating the value of PrTEC with the truncation factor λr and the ionospheric TEC value TECG along the propagation path from the GNSS satellite according to formula (3):
P
r
TEC=λ
r
·TEC
G (3)
where TECG is the ionospheric TEC value extracted from GNSS observation data.
Further, S4 may specifically include:
S41: obtaining an initial IED value Ne0(r,t) by the NeQuick model and a TEC value TEC0 with the NeQuick model as prior information;
S42: for the GNSS stations within the target region, calculating a truncation factor λs with the initial IED value Ne0(r,t) and TEC0; and
S43: calculating the value of PsTEC with the truncation factor λs and the ionospheric TEC value TECG along the propagation path from the GNSS satellite.
Further, S4 may specifically include:
S411: obtaining an initial IED value Ne0(r,t) by the NeQuick model and a TEC value TEC0 with the NeQuick model as prior information;
S421: for GNSS stations within the extended section of the target region, calculating a truncation factor λs with the initial IED value Ne0(r,t) and TEC0 according to formulas (4) and (5):
where TEC0 is the TEC value obtained with the NeQuick model as prior information; and
S431: calculating the value of PsTEC with the truncation factor λs and the ionospheric TEC value TECG along the propagation path from the GNSS satellite according to formula (6):
P
s
TEC=λ
2
·TEC
G (6)
where TECG is the ionospheric TEC value extracted from GNSS observation data.
Further, the inversion of the IED of the target region in step S6 may be carried out according to formula (7):
y
m×1
=A
m×n
·x
n×1
+e
m×1 (7)
where y is an m-dimensional column vector constituted by observed ionospheric TEC values, while A is an m n-dimensional row vector constituted by intercepts of rays in respective grids, x is an n-dimensional column vector constituted by unknown parameters, and e is an m-dimensional column vector constituted by observation noise and a discretization error.
The present disclosure has the following advantages:
The method in the present disclosure permits building of a three-dimensional ionosphere model based on truncation rays traversing vertical boundaries (also known as a truncation ray mode, TRM) with improved CIT inversion accuracy, and may be of great application value in the improvement of positioning accuracy of GNSS navigation and the spatial environmental ability of disaster prevention and alleviation.
The present disclosure may have other objectives, features and advantages than the objective, features and advantages as described above. The present disclosure will be further described below in detail.
To make the objective, technical solution and advantages of the present disclosure clearer and more comprehensible, the present disclosure will be further described below in detail by way of example. It will be understood that the specific embodiment described herein is merely used to explain, rather than limit, the present disclosure.
In the embodiment of the present disclosure, the ionospheric TEC value refers to ionospheric total electron content, and GNSS denotes global navigation satellite system.
Referring to
S1: obtain an initial IED of each voxel in a target region and an ionospheric TEC value along a propagation path from a GNSS satellite.
The target region may be selected based on data of a longitude ranging from 99° E to 115° E, a latitude ranging from 26° N to 34° N, and an altitude ranging from 100 km to 1000 km for inversion. Grid intervals in the directions of longitude and latitude are set to 1°, while an interval in the direction of altitude is set to 50 km, as shown in
The initial IED of each voxel in the target region is obtained by an ionospheric empirical model NeQuick.
S2: extend the target region in step S1 so that GNSS stations within a certain range beyond the target region are encompassed within the target region.
S3: for GNSS stations within a certain range in the target region, calculate a vertical boundary truncation TEC value, denoted by PrTEC. The range denoted by PrTEC is as shown in
Specific building process of PrTEC model may include:
S311: obtain an initial IED value Ne0(r,t) by the NeQuick model and a TEC value TEC0 with the NeQuick model as prior information.
S321: for GNSS stations within a certain range beyond the target region, calculate a truncation factor λr with the initial IED value Ne0(r,t) and TEC0 according to formulas (1) and (2):
where TEC0 is the TEC value obtained with the NeQuick model as prior information; and
S331: calculate the value of PrTEC with the truncation factor λr and the ionospheric TEC value TECG along the propagation path from the GNSS satellite according to formula (3):
P
r
TEC=λ
r
·TEC
G (3)
where TECG is the ionospheric TEC value extracted from GNSS observation data.
S4: for the GNSS stations within the target region, calculate a vertical boundary truncation TEC value, denoted by PsTEC. The range denoted by PsTEC is as shown in
Specific building process of PsTEC model may include:
S411: obtain an initial IED value Ne0(r,t) by the NeQuick model and a TEC value TEC0 with the NeQuick model as prior information;
S421: for the GNSS stations within the target region, calculate a truncation factor λs with the initial IED value Ne0(r,t) and TEC0; and
S431: calculate the value of PsTEC with the truncation factor λs and the ionospheric TEC value TECG along the propagation path from the GNSS satellite.
S5: build a three-dimensional CIT model based on the vertical boundary truncation TEC values PrTEC and PsTEC.
S6: resolve the CIT model in step S5 for inversion of the IED of the target region.
The inversion of the IED of the target region in step S6 may be carried out according to formula (7):
y
m×1
=A
m×n
·x
n×1
+e
m×1 (7)
where y is an m-dimensional column vector constituted by observed ionospheric TEC values, while A is an m n-dimensional row vector constituted by intercepts of rays in respective grids, x is an n-dimensional column vector constituted by unknown parameters, and e is an m-dimensional column vector constituted by observation noise and a discretization error.
Besides,
The foregoing are merely descriptions of the preferred embodiment of the present disclosure, which are not intended to limit the present disclosure. Any modifications, equivalent replacements and improvements made within the spirit and principle of the present disclosure shall fall within the protection scope of the present disclosure.
Number | Date | Country | Kind |
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202010544215.5 | Jun 2020 | CN | national |