CN111190197A - Navigation satellite signal quality on-orbit optimization and maintenance method - Google Patents

Navigation satellite signal quality on-orbit optimization and maintenance method Download PDF

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CN111190197A
CN111190197A CN202010045804.9A CN202010045804A CN111190197A CN 111190197 A CN111190197 A CN 111190197A CN 202010045804 A CN202010045804 A CN 202010045804A CN 111190197 A CN111190197 A CN 111190197A
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宿晨庚
刘旭楠
郭树人
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Marine Disaster Reduction Center Ministry Of Natural Resources
63921 Troops of PLA
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13—Receivers
    • G01S19/23—Testing, monitoring, correcting or calibrating of receiver elements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/40—Correcting position, velocity or attitude

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Abstract

The invention relates to an on-orbit optimization and maintenance method for signal quality of a navigation satellite, which comprises the following steps: s1, collecting navigation satellite signals by using a ground large-aperture antenna or an on-satellite high-speed sampling device, and respectively judging whether the signal quality needs to be optimized; s2, according to the result of the step S1 and the obtained data, if the signal quality needs to be optimized, utilizing the measured signal and the ideal simulation signal to invert the characteristics of the launching channel of the navigation satellite; s3, optimizing a satellite transmitting channel predistortion filter, and compensating the nonideal characteristic of an actual transmitting channel; and S4, the predistortion parameters obtained in the step S3 are injected or fed back to the navigation satellite. The method can realize satellite-ground cooperative signal quality optimization and satellite autonomous signal quality optimization, and can effectively improve the space signal quality of the in-orbit navigation satellite by acquiring the satellite transmitting signal and inverting and compensating the characteristic of the satellite transmitting channel.

Description

Navigation satellite signal quality on-orbit optimization and maintenance method
Technical Field
The invention belongs to the technical field of satellite navigation, and particularly relates to an in-orbit optimization and maintenance method for signal quality of a navigation satellite.
Background
The navigation satellite is a carrier for providing services by a Global Navigation Satellite System (GNSS), is a main factor for determining the use performance of the system and the user experience, and will affect the use cost of users and the market application prospect. In order to adapt to the expansion of application fields and global market competition and meet new requirements of high precision, high integrity, high availability, interoperability, frequency spectrum separation and the like, each GNSS system carries out signal modernization upgrading on the basis of the traditional navigation signals. The modern navigation signal has wider bandwidth and more components, and the navigation satellite needs to realize constant envelope multiplex broadcasting of multi-frequency multi-component signals, thereby providing higher requirements for accurate control of satellite channel characteristics and signal quality.
In general, before a navigation satellite is launched, the characteristics of a launching channel need to be optimally designed and tested and calibrated, so as to ensure the quality of a leaving-factory signal of the satellite. After the satellite is launched in orbit, the quality of the space signal is monitored and evaluated by using a ground observation means, and the qualitative evaluation is mainly focused on finding problems. However, as the on-orbit time of the satellite increases, the amplitude-frequency-phase-frequency characteristics of the transmitting channel may be affected due to aging of components or other unknown reasons, and the transmitting channel is not ideal distorted, so that the spatial signal quality of the navigation satellite is deteriorated compared with that in the factory stage, and pseudo range deviation or service precision is reduced. The traditional ground analysis method cannot effectively intervene or control the problem of signal quality deterioration of the in-orbit navigation satellite. Therefore, it is necessary to find a suitable method to solve the problem of optimizing the signal quality of the full life cycle of the navigation satellite, so as to ensure that the GNSS system services meet the requirements.
Disclosure of Invention
The invention aims to solve the technical problems and provides an in-orbit optimization and maintenance method for the signal quality of a navigation satellite, which solves the problems of unknown nonlinear distortion of a navigation satellite transmitting channel and signal quality maintenance in an in-orbit working full life cycle.
In order to achieve the above object, the present invention provides an in-orbit optimization and maintenance method for signal quality of a navigation satellite, comprising:
s1, collecting navigation satellite signals by using a ground large-aperture antenna or an on-satellite high-speed sampling device, and respectively judging whether the signal quality needs to be optimized;
s2, according to the result of the step S1 and the obtained data, if the signal quality needs to be optimized, utilizing the measured signal and the ideal simulation signal to invert the characteristics of the launching channel of the navigation satellite;
s3, optimizing a satellite transmitting channel predistortion filter, and compensating the nonideal characteristic of an actual transmitting channel;
and S4, the predistortion parameters obtained in the step S3 are injected or fed back to the navigation satellite.
According to one aspect of the invention, the method further comprises: and S5, evaluating the signal quality optimization effect before and after the injection by using a space signal quality analysis system.
According to an aspect of the present invention, in step S1, the high-speed sampling device includes a ground sampling device or an on-board sampling device, where the ground sampling device is formed by connecting a ground high-gain large-aperture antenna and a high-speed radio frequency sampling device, and receives a navigation radio signal for satellite-ground cooperative signal quality optimization;
the on-satellite sampling equipment is connected with a front radio frequency signal output port of the satellite transmitting antenna and used for satellite autonomous signal quality optimization.
According to an aspect of the present invention, in step S2, the inversion of the characteristics of the transmitting channel of the navigation satellite takes the theoretical simulation signal as input, the actual acquisition signal as output, and the amplitude-frequency-phase-frequency transmission characteristics of the transmitting channel of the navigation satellite are obtained by using an impulse response method, a spectrum analysis method or a least square method in combination with the characteristics of the signal.
According to an aspect of the present invention, if the ground sampling device is used for satellite-ground cooperative signal quality optimization, in step S2, the influence of the satellite-ground spatial transmission channel characteristics and the receiver channel characteristics is also subtracted.
According to one aspect of the invention, the satellite-ground space transmission channel characteristics accurately model the transmission link through an ionosphere model, and the receiver channel characteristics accurately measure the amplitude-frequency, phase-frequency and group delay characteristics of the receiving system through a vector network analyzer.
According to an aspect of the present invention, the step S3 includes:
carrying out inverse transformation on the obtained amplitude-frequency phase-frequency transmission characteristic of the transmitting channel to obtain the complementary amplitude-frequency phase-frequency characteristic of the target predistortion filter;
and solving to obtain the predistortion parameters of the target predistortion filter according to the frequency response of the target predistortion filter.
According to one aspect of the invention, satellite-to-ground cooperative signal quality optimization achieves predistortion parameter updating by ground operation control and injection to a satellite;
and the satellite autonomous signal quality optimization is directly fed back to the predistortion filter from the output end of the predistortion parameter design module through satellite autonomous updating.
The method can realize satellite-ground cooperative signal quality optimization and satellite autonomous signal quality optimization, and can effectively improve the space signal quality of the in-orbit navigation satellite by acquiring the satellite transmitting signal and inverting and compensating the characteristic of the satellite transmitting channel.
The method does not limit the application scene of the navigation satellite, and can be applied to the whole stage of the whole life cycle of the navigation satellite from design development to on-orbit operation.
The method is not restricted by a signal modulation mode, and can be suitable for the signal quality optimization of all the existing navigation signals.
The method is beneficial to keeping accurate control of the signal quality of the GNSS system during the whole life period, improving the external service performance of the GNSS system and improving the use performance of users.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow diagram schematically illustrating a method for in-orbit optimization and maintenance of signal quality of a navigation satellite according to one embodiment of the present invention;
FIG. 2 is a flow chart of a method for optimizing and maintaining signal quality of a navigation satellite in orbit according to a second embodiment of the invention;
FIG. 3 is a diagram schematically illustrating amplitude-frequency characteristics of a transmitting channel of a navigation satellite before optimization according to an embodiment of the present invention;
FIG. 4 is a schematic diagram showing phase-frequency characteristics of the transmit channel of the navigational satellite before optimization according to an embodiment of the present invention;
FIG. 5 is a diagram schematically illustrating an amplitude-frequency characteristic of an optimized transmitting channel of a navigation satellite according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating phase-frequency characteristics of the transmission channel of the optimized navigation satellite according to an embodiment of the present invention;
fig. 7 is a diagram schematically showing the effect of improving pseudorange bias before and after optimization according to an embodiment of the present invention.
Detailed Description
The description of the embodiments of this specification is intended to be taken in conjunction with the accompanying drawings, which are to be considered part of the complete specification. In the drawings, the shape or thickness of the embodiments may be exaggerated and simplified or conveniently indicated. Further, the components of the structures in the drawings are described separately, and it should be noted that the components not shown or described in the drawings are well known to those skilled in the art.
Any reference to directions and orientations to the description of the embodiments herein is merely for convenience of description and should not be construed as limiting the scope of the invention in any way. The following description of the preferred embodiments refers to combinations of features which may be present independently or in combination, and the present invention is not particularly limited to the preferred embodiments. The scope of the invention is defined by the claims.
The invention relates to an on-orbit optimization and maintenance method for signal quality of a navigation satellite, which comprises the following steps: s1, collecting navigation satellite signals by using a ground large-aperture antenna or an on-satellite high-speed sampling device, and respectively judging whether the signal quality needs to be optimized; s2, according to the result of the step S1 and the obtained data, if the signal quality needs to be optimized, utilizing the measured signal and the ideal simulation signal to invert the characteristics of the launching channel of the navigation satellite; s3, optimizing a satellite transmitting channel predistortion filter, and compensating the nonideal characteristic of an actual transmitting channel; and S4, the predistortion parameters obtained in the step S3 are injected or fed back to the navigation satellite.
In the step S1, the high-speed sampling device includes a ground sampling device or an on-satellite sampling device, and the ground sampling device is formed by connecting a ground high-gain large-aperture antenna and a high-speed radio frequency sampling device, and receives the navigation radio signal for satellite-ground cooperative signal quality optimization. The on-board sampling equipment is connected with a front radio frequency signal output port of the satellite transmitting antenna and used for satellite autonomous signal quality optimization. Namely, the method of the present invention can realize signal quality optimization through satellite-ground cooperation, and can also realize signal quality optimization through satellite autonomy, and the work flows of the two modes are respectively shown in fig. 1 and fig. 2.
The method of the present invention is specifically described below:
step S1:
firstly, the problem of signal quality is determined, namely the navigation signal distortion caused by the distortion of a satellite transmitting channel influences the use performance of a user, including qualitative and quantitative indexes in the aspects of power characteristics, frequency domain characteristics, time domain characteristics, correlation domain characteristics, modulation domain characteristics, signal consistency and the like. In step S1, the navigation satellite signal data with high signal-to-noise ratio is acquired by using a ground large-aperture antenna or an on-board high-speed sampling device and stored in a data disk array, wherein the large-aperture antenna and the data acquisition device need to be calibrated before ground data acquisition. And a software receiver is used for calling and reading satellite signal acquisition data, a local carrier is generated by using an accurate carrier phase obtained by a carrier ring after carrier phase estimation, and an actual measurement baseband signal is obtained after the carrier is stripped. And evaluating the signal quality change conditions of the navigation satellite in a frequency domain, a time domain, a correlation domain, a modulation domain and the like by using signal quality evaluation software to determine whether optimization is needed.
Step S2:
the inversion of the characteristics of the launching channel of the navigation satellite takes a theoretical simulation signal as input and an actual acquisition signal as output, and combines the characteristics of the signals to obtain the amplitude-frequency-phase-frequency transmission characteristics of the launching channel of the satellite by adopting a pulse response method, a spectrum analysis method or a least square method. If the ground sampling device is used for satellite-ground cooperative signal quality optimization, in step S2, the influence of the satellite-ground spatial transmission channel characteristics and the receiver channel characteristics needs to be subtracted.
Specifically, according to the result and the obtained data in step S1, if the signal quality changes, the measured signal and the ideal signal are used to invert the characteristics of the transmitting channel of the navigation satellite. The signal transmission process is equivalent to a baseband transmission system, an ideal signal is used as the input of the system, an actual measurement signal is used as the output of the system, and the transfer function of the system is reversely deduced by using the input signal and the output signal. The channel transfer function can be expressed as:
Figure BSA0000200488800000051
in the formula, Fout(omega) is the measured signal spectrum, Fin(ω) is the ideal signal spectrum.
The cross-correlation result of the received measured signal and the local code and the autocorrelation result of the local code are used to reversely derive the transmission characteristic function of the channel. The channel is equivalent to a low pass filter, h (τ) is the system response function of the filter, Rxx(τ) is the autocorrelation function of the input signal, Rxy(τ) is the cross-correlation function of the input signal and the output signal, then:
Rxy(τ)＝Rxx(τ)·h(τ)
the power spectral density and the correlation function are Fourier transform:
Figure BSA0000200488800000052
Figure BSA0000200488800000061
wherein S isc(omega) is the input signal self-power spectral density, SxyAnd (omega) is the cross-power spectral density of the input and output signals.
The available channel frequency domain characteristics:
Figure BSA0000200488800000062
under the on-satellite autonomous optimization mode, the amplitude-frequency and phase-frequency characteristics of the satellite transmitting channel can be obtained according to the method.
In the satellite-ground cooperative optimization mode, the channel characteristics obtained according to the method include cascade channel characteristics formed by a satellite transmitting channel, a space propagation channel, a receiver channel and the like, and a channel model can be expressed as follows:
h(t)＝hs(t)*hc(t)*hr(t)
in the formula, hs(t)、hc(t) and hrAnd (t) respectively representing time domain response function expressions of a satellite transmitting channel, a space propagation channel and a receiver channel.
The satellite-ground space propagation channel characteristics can accurately model a transmission link through an ionosphere model and the like; the receiver channel characteristics can accurately measure the characteristics of amplitude frequency, phase frequency, group delay and the like of a receiving system through a vector network analyzer. And removing the space propagation characteristic and the receiving channel characteristic from the channel characteristic obtained by inversion to obtain the satellite transmitting channel characteristic.
Step S3:
and optimizing a pre-distortion filter preset on the satellite according to the characteristics of the transmitting channel of the navigation satellite obtained in the step S2, compensating the non-ideal characteristics of the transmitting channel, reducing amplitude and phase distortion in the transmitting bandwidth, and reducing group delay jitter. Assuming that the frequency response of the satellite transmission channel obtained in the last step is Hs(f) The frequency response of the predistortion filter is Hinv(f) The whole satellite signal channel after adding the predistortion filter should be equivalent to an all-pass filter, namely:
ce-j2πd＝Hinv(f)Hs(f)
where d is the group delay constant, which can be set to 0, and c is the amplitude.
If the predistortion parameters are available on the satellite, the obtained predistortion filter frequency response H can be usedinv(f) And the star existing pre-distortion filter frequency response Hp0(f) Collectively forming a new satellite predistortion filter frequency response Hp(f)。
According to the frequency response of the new satellite predistortion filter, the new predistortion filter parameters can be further solved, and the filter design method can comprise a band-limited inverse filter, an all-pass filter, a sparse filter and other modes. Taking the sparse filter as an example, the output response of the FIR filter can be expressed as:
Figure BSA0000200488800000071
in the above formula, x (n) and y (n) are input and output signals, respectively, hcAnd (N) is a time domain coefficient of the sparse filter, and N is a filter order. The filter frequency response can be written as:
Figure BSA0000200488800000072
under the least square criterion, the sparse filter design objective function expression e (j ω) is:
Figure BSA0000200488800000073
discretizing the frequency response of the target filter to make the length of the frequency response M, and obtaining the discrete frequency response of an inverse system as follows:
Figure BSA0000200488800000074
Hinv_ris the real part of the frequency response of the discrete object, and is a vector of 1 × M, Hinv_iIs its imaginary part, dimension sum Hinv_rAnd (5) the consistency is achieved. Similarly, the frequency response of the sparse filter can also be decomposed into two parts:
Figure BSA0000200488800000075
Figure BSA0000200488800000081
setting matrixΘ＝[Hc_r，Hc_i]TIn which H isc_r、Hc_iThe M multiplied by N matrix formed by the real part and the imaginary part of the frequency response of the sparse filter is expressed as follows:
Figure BSA0000200488800000082
Figure BSA0000200488800000083
the matrix Θ forms a 2 mxn-dimensional frequency-domain spatial basis matrix containing N orthonormal bases.
Figure BSA0000200488800000084
Convert to the minimum value solving:
Figure BSA0000200488800000085
Figure BSA0000200488800000086
rho is constant, and can be generally equal to or less than 1 multiplied by 10-4The optimization algorithm may select a penalty function interior point method, and when the mean value of the difference between the target group delay and the filter group delay is zero or converged after iteration, the iteration is stopped, and it may be considered that the optimal value has been obtained.
Step S4:
with reference to fig. 1 and fig. 2, the predistortion parameters obtained in step S3 are injected to the satellite through the operation control system, or fed back to the predistortion filter from the on-satellite self-closed loop, so as to complete the on-satellite predistortion filter parameter update and realize the on-satellite channel optimization compensation.
The method for optimizing and maintaining the signal quality of the navigation satellite in the orbit further comprises the step of S5, and a space signal quality analysis system is used for evaluating the signal quality optimization effect before and after the injection. That is, in step S5, the signal quality improvement before and after optimization is compared and analyzed based on the same device and software, and if the optimization effect meets the requirement, the optimization is completed. And if the optimization effect does not meet the requirement, repeating the steps S1 to S5 until the optimization effect meets the requirement.
In order to more clearly understand the present invention, the description of the in-orbit signal quality optimization method is carried out with reference to one actual satellite, as shown in fig. 3 to 7:
firstly, a ground large-aperture antenna and high-speed acquisition equipment are used for acquiring satellite signal data, after BOC (1, 1) signals are acquired, the correlator spacing is adjusted in a certain stepping mode within a reasonable correlation spacing range for tracking, a larger correlator spacing is selected as a reference, pseudo-range measurement values under the rest correlation spacing ranges are differed from pseudo-range measurement values under the reference correlation spacing range to obtain relative pseudo-range deviations under different correlation spacing ranges, and the pseudo-range deviation before optimization is 0.823 m.
And then, inverting the characteristics of the satellite transmitting channel by using the step S2 to obtain the amplitude-frequency and phase-frequency characteristics of the transmitting channel before optimization. In the figure, the solid line is raw data, the dotted line is a result after piecewise polynomial fitting, and linear terms (i.e. fixed group delay terms) are removed from the phase-frequency characteristic so as to clearly show the nonlinear characteristic. It can be seen that, before optimization, the channel phase-frequency characteristic nonlinearity and asymmetry are large, and the pseudo-range deviation is expected to be large.
And then, optimizing the predistortion parameters of the transmitting channel by utilizing the steps S3 and S4, and realizing the updating of the parameters by focusing on the satellite. And then, the signal quality evaluation is carried out after the characteristics of the transmitting channel are optimized, the optimized pseudo range deviation is 0.392m, and the satellite pseudo range deviation fluctuation range is obviously reduced and is half of the pseudo range deviation before optimization.
And further inverting the optimized satellite transmitting channel characteristic to obtain the amplitude-frequency and phase-frequency characteristics of the optimized transmitting channel. After the satellite is injected on the predistortion parameters, the nonlinear degree of the frequency characteristics in the pass band is obviously reduced, and the corresponding group delay fluctuation degree is obviously reduced, which shows that the expected optimization effect is achieved.
The method can realize satellite-ground cooperative signal quality optimization and satellite autonomous signal quality optimization, and can effectively improve the space signal quality of the in-orbit navigation satellite by acquiring the satellite transmitting signal and inverting and compensating the characteristic of the satellite transmitting channel.
The method does not limit the application scene of the navigation satellite, and can be applied to the whole stage of the whole life cycle of the navigation satellite from design development to on-orbit operation.
The method is not restricted by a signal modulation mode, and can be suitable for the signal quality optimization of all the existing navigation signals.
The method is beneficial to keeping accurate control of the signal quality of the GNSS system during the whole life period, improving the external service performance of the GNSS system and improving the use performance of users.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (8)

1. A method for optimizing and maintaining the signal quality of a navigation satellite in an orbit comprises the following steps:
s1, collecting navigation satellite signals by using a ground large-aperture antenna or an on-satellite high-speed sampling device, and respectively judging whether the signal quality needs to be optimized;
s2, according to the result of the step S1 and the obtained data, if the signal quality needs to be optimized, utilizing the measured signal and the ideal simulation signal to invert the characteristics of the launching channel of the navigation satellite;
s3, optimizing a satellite transmitting channel predistortion filter, and compensating the nonideal characteristic of an actual transmitting channel;
and S4, the predistortion parameters obtained in the step S3 are injected or fed back to the navigation satellite.
2. The method of claim 1, wherein the method further comprises: and S5, evaluating the signal quality optimization effect before and after the injection by using a space signal quality analysis system.
3. The method for optimizing and maintaining the signal quality of the navigation satellite in orbit according to claim 1, wherein in the step S1, the high-speed sampling device comprises a ground sampling device or an on-board sampling device, the ground sampling device is formed by connecting a ground high-gain large-aperture antenna and a high-speed radio frequency sampling device, and receives the navigation radio signal for satellite-ground cooperative signal quality optimization; the on-satellite sampling equipment is connected with a front radio frequency signal output port of the satellite transmitting antenna and used for satellite autonomous signal quality optimization.
4. The method for optimizing and maintaining the signal quality of the navigation satellite in orbit according to claim 3, wherein in the step S2, the inversion of the characteristics of the transmitting channel of the navigation satellite takes a theoretical simulation signal as an input, an actual acquisition signal as an output, and the amplitude-frequency-phase-frequency transmission characteristics of the transmitting channel of the navigation satellite are obtained by combining the characteristics of the signals by using a pulse response method, a spectrum analysis method or a least square method.
5. The method for optimizing and maintaining signal quality of a navigation satellite in orbit according to claim 4, wherein if a ground sampling device is used for satellite-ground cooperative signal quality optimization, in step S2, the influence of the satellite-ground spatial transmission channel characteristics and the receiver channel characteristics is also subtracted.
6. The method for optimizing and maintaining the quality of the navigation satellite in the orbit as claimed in claim 4, wherein the satellite-ground space transmission channel characteristics accurately model the transmission link through an ionosphere model, and the receiver channel characteristics accurately measure the amplitude-frequency, phase-frequency and group delay characteristics of the receiving system through a vector network analyzer.
7. The method for optimizing and maintaining the quality of the navigation satellite in the orbit according to claim 5, wherein the step S3 comprises:
carrying out inverse transformation on the obtained amplitude-frequency phase-frequency transmission characteristic of the transmitting channel to obtain the complementary amplitude-frequency phase-frequency characteristic of the target predistortion filter;
and solving to obtain the predistortion parameters of the target predistortion filter according to the frequency response of the target predistortion filter.
8. The method for optimizing and maintaining the quality of the navigation satellite in the orbit according to claim 3, wherein the step S4 comprises:
satellite-ground cooperative signal quality optimization realizes pre-distortion parameter updating by injecting to a satellite through ground operation control;
and the satellite autonomous signal quality optimization is directly fed back to the predistortion filter from the output end of the predistortion parameter design module through satellite autonomous updating.
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CN112068159A (en) * 2020-08-25 2020-12-11 西安空间无线电技术研究所 Navigation satellite signal quality on-orbit optimization method
CN112068159B (en) * 2020-08-25 2024-03-26 西安空间无线电技术研究所 On-orbit optimization method for navigation satellite signal quality
CN112327332A (en) * 2020-11-06 2021-02-05 江苏集萃未来城市应用技术研究所有限公司 Pseudo satellite signal quality analysis device and method based on USRP
CN113126131A (en) * 2021-03-25 2021-07-16 中国电子科技集团公司第五十四研究所 Ultra-low distortion navigation signal acquisition and aliasing-free separation method
CN113126131B (en) * 2021-03-25 2022-04-22 中国电子科技集团公司第五十四研究所 Ultra-low distortion navigation signal acquisition and aliasing-free separation method
CN113391329A (en) * 2021-06-07 2021-09-14 中国科学院国家授时中心 Beidou satellite navigation signal distortion adaptive compensation method

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