Signal quality enhancement method for satellite communication

Abstract

The invention discloses a signal quality enhancement method for satellite communication, and belongs to the technical field of satellite communication. According to the invention, the same baseband signal is modulated by carriers with different frequencies and then sent to a satellite for demodulation, and the amplitude of the demodulation signal is restored according to the attenuation ratio of the satellite receiving signal. Sampling the reduced signal, and defining a central sampling point characteristic value (the characteristic value comprises dispersion, amplitude mean value and maximum and minimum value) according to a sampling point neighborhood characteristic value; then extracting characteristic deviators (including discrete deviators, amplitude deviators and extreme and extreme deviators) according to characteristic values of sampling points at the same moment, and constructing the characteristic deviators of the same sampling signal at each moment into a sequence; the method comprises the following steps: sampling signals, fusing the sampling signals based on three characteristic deviator sequences to obtain three fusion signals, and finally weighting the fusion signals to obtain signals with obviously enhanced signal quality, thereby effectively improving the satellite communication signal quality.

Description

Technical Field

[0001] The present invention relates to the technical field of satellite communications, and in particular to a method for enhancing signal quality in satellite communications. Background Art

[0002] Satellite communications are widely used in a variety of fields, including military, maritime, aviation, remote area communications, and broadcast and television signal transmission. However, satellite communications face numerous challenges that severely impact signal quality. Due to the vast distances between satellites and ground stations, signals are susceptible to interference from atmospheric attenuation, ionospheric scintillation, multipath effects, and spatial noise during transmission. This can lead to reduced demodulated signal quality, increased bit error rates, and significantly reduced communication reliability.

[0003] Existing satellite communications use spatial diversity technology. This involves deploying multiple antennas on a satellite, simultaneously receiving signals from different antennas and coherently combining them using phase information, or combining signals from different antennas using power. However, existing spatial diversity technology fails to consider the degree of deformation and local differences in each area, resulting in low combining accuracy and poor signal quality. Summary of the Invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method for enhancing the signal quality of satellite communications, which solves the problem of low quality of the synthesized signal in the prior art space diversity technology.

[0005] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is: a method for enhancing the signal quality of satellite communication, comprising the following steps:

[0006] The same baseband signal is modulated using carrier waves of different frequencies and sent to the satellite for demodulation processing to obtain a demodulated signal;

[0007] According to the attenuation ratio of the satellite received signal, the amplitude of the corresponding demodulated signal is restored to obtain a restored signal;

[0008] Each restored signal is sampled and processed to obtain a sampled signal. With each sampling point in the sampled signal as the center, the characteristic value of the neighborhood range is used as the characteristic value of the central sampling point, where the characteristic values include: dispersion, amplitude mean and maximum value;

[0009] Extract characteristic deviations according to the characteristic values of each sampling point at the same time, and construct the characteristic deviations at each time belonging to the same sampling signal into a characteristic deviation sequence, wherein the characteristic deviations include: discrete deviations, amplitude deviations, and maximum deviations;

[0010] According to the three characteristic bias sequences, each sampling signal is fused to obtain three fusion signals;

[0011] The three fusion signals are weighted and processed to obtain a signal with enhanced signal quality.

[0012] Furthermore, the process of obtaining the demodulated signal includes:

[0013] The same baseband signal is modulated by carrier waves of different frequencies to obtain multiple modulated signals;

[0014] Each modulated signal is sent to a satellite via an uplink of an antenna to obtain a satellite reception signal, wherein one modulated signal corresponds to one satellite reception signal;

[0015] The satellite received signal is demodulated to obtain a demodulated signal.

[0016] Furthermore, the amplitude restoration process includes:

[0017] The ratio of the average amplitude of the modulated signal to the average amplitude of the satellite received signal is taken as the attenuation ratio;

[0018] The amplitude of the demodulated signal at each moment is multiplied by the attenuation ratio to obtain the restored signal.

[0019] Furthermore, the dispersion is: the variance or standard deviation of each sampling point in the neighborhood of the central sampling point;

[0020] The mean amplitude is: the average amplitude of each sampling point in the neighborhood of the central sampling point;

[0021] The maximum value is: the maximum or minimum value of each sampling point in the neighborhood of the central sampling point.

[0022] Furthermore, the process of obtaining the characteristic deviation includes: at the same time, calculating the average value of the characteristic values of the sampling points in each sampling signal, subtracting the average value from each characteristic value and taking the absolute value to obtain the characteristic deviation, summing up the characteristic deviations to obtain the total characteristic deviation, and using 1 minus the ratio of the characteristic deviation to the total characteristic deviation to obtain the characteristic deviation.

[0023] Furthermore, the discrete bias acquisition process includes: calculating the average value of the discreteness of the sampling points in each sampling signal at the same time, subtracting the average value from each discreteness and taking the absolute value to obtain a discrete deviation, summing the discrete deviations to obtain a total discrete deviation, and subtracting the ratio of the discrete deviation to the total discrete deviation from 1 to obtain the discrete bias;

[0024] The process of obtaining the amplitude deviation includes: calculating the average of the amplitude means in each sampling signal at the same time, subtracting the average from the amplitude mean of the sampling point in each sampling signal and taking the absolute value to obtain the amplitude deviation, summing the amplitude deviations to obtain the total amplitude deviation, and subtracting the ratio of the amplitude deviation to the total amplitude deviation from 1 to obtain the amplitude deviation;

[0025] The process of obtaining the maximum value deviation includes: at the same time, calculating the average value of the maximum values in each sampling signal, taking the maximum value of the sampling point in each sampling signal minus the maximum value mean and taking the absolute value to obtain the maximum value deviation, summing up the maximum value deviations to obtain the total maximum value deviation, and taking 1 minus the ratio of the maximum value deviation to the total maximum value deviation to obtain the maximum value deviation.

[0026] Furthermore, the process of obtaining the first fusion signal includes:

[0027] Multiply each sampled signal by the discrete offset sequence of each sampled signal at the same sampling moment to obtain a discrete weighted signal;

[0028] All discrete weighted signals are added together at the same sampling time to obtain a first fused signal.

[0029] Furthermore, the process of obtaining the second fusion signal includes:

[0030] Multiply each sampling signal by the amplitude offset sequence of each sampling signal at the same sampling time to obtain an amplitude weighted signal;

[0031] All amplitude-weighted signals are added together at the same sampling time to obtain a second fused signal.

[0032] Furthermore, the process of obtaining the third fusion signal includes:

[0033] Multiply each sampling signal by the maximum deviation sequence of each sampling signal at the same sampling time to obtain a maximum weighted signal;

[0034] All the maximum value weighted signals are added together at the same sampling time to obtain a third fused signal.

[0035] Furthermore, the weighted processing formula is: , where G is the signal quality enhancement signal, ω1 is the first weight, ω2 is the second weight, ω3 is the third weight, g1 is the first fusion signal, g2 is the second fusion signal, and g3 is the third fusion signal.

[0036] In summary, the beneficial effects of the present invention are:

[0037] 1. Existing spatial diversity techniques fail to consider the degree of deformation and local variations at each local location, resulting in low combination accuracy and poor synthesized signal quality. However, this method uses each sampling point in the sampled signal as the center and uses the characteristic values (dispersion, amplitude mean, and maximum) of the neighborhood as the characteristic values of the central sampling point, accurately capturing the local characteristics of the signal. This allows subsequent processing to fully account for signal variations at different local locations, providing a more accurate data foundation for signal fusion and enhancement, effectively improving the accuracy of signal combination.

[0038] 2. Signals can vary in amplitude during transmission due to factors such as atmospheric attenuation. This method restores the amplitude of the demodulated signal based on the attenuation ratio of the satellite-received signal. This restores the energy lost due to transmission loss, bringing the signal amplitude closer to the original transmitted signal and reducing signal distortion caused by amplitude variations.

[0039] 3. This invention extracts characteristic deviations (discrete deviations, amplitude deviations, and maximum deviations) and constructs a sequence of characteristic deviations. These deviations reflect the relative changes in the characteristics of different sampled signals at the same moment. Based on these characteristic deviation sequences, the individual sampled signals are fused to reduce interference from sampling points with large local deformations, thereby minimizing signal distortion and deformation.

[0040] 4. The present invention performs weighted processing on the three fusion signals, taking into account the deformation influence of the three features, and further improving the signal quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 The present invention is a flow chart of a method for enhancing signal quality of satellite communications. DETAILED DESCRIPTION

[0042] The specific embodiments of the present invention are described below to facilitate understanding of the present invention by those skilled in the art. However, it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the appended claims, these changes are obvious, and all inventions and creations utilizing the concepts of the present invention are protected.

[0043] like Figure 1 As shown, a method for enhancing the signal quality of satellite communication includes the following steps:

[0044] The same baseband signal is modulated using carrier waves of different frequencies and sent to the satellite for demodulation processing to obtain a demodulated signal;

[0045] According to the attenuation ratio of the satellite received signal, the amplitude of the corresponding demodulated signal is restored to obtain a restored signal;

[0046] Each restored signal is sampled and processed to obtain a sampled signal. With each sampling point in the sampled signal as the center, the characteristic value of the neighborhood range is used as the characteristic value of the central sampling point. The characteristic values include: discreteness, amplitude mean and maximum. One restored signal corresponds to one sampled signal;

[0047] Extract characteristic deviations according to the characteristic values of each sampling point at the same time, and construct the characteristic deviations at each time belonging to the same sampling signal into a characteristic deviation sequence, wherein the characteristic deviations include: discrete deviations, amplitude deviations, and maximum deviations;

[0048] According to the three characteristic bias sequences, each sampling signal is fused to obtain three fusion signals;

[0049] The three fusion signals are weighted and processed to obtain a signal with enhanced signal quality.

[0050] In this embodiment, the process of obtaining the demodulated signal includes:

[0051] The same baseband signal is modulated by carrier waves of different frequencies to obtain multiple modulated signals;

[0052] Each modulated signal is sent to a satellite via an uplink of an antenna to obtain a satellite reception signal, wherein one modulated signal corresponds to one satellite reception signal;

[0053] The satellite received signal is demodulated to obtain a demodulated signal.

[0054] In this embodiment, the expression for modulating the same baseband signal using carriers of different frequencies is: , is the kth modulation signal, S is the baseband signal, w k is the frequency of the kth carrier, cos(w k t) is the carrier signal, k is a positive integer, and τ is time. For example, for the C band (5.925-6.425 GHz for uplink), the carrier frequencies that can be set include: 5.95 GHz, 6.0 GHz, 6.12 GHz, 6.25 GHz, 6.38 GHz, and 6.4 GHz. During uplink, signals of various frequencies experience varying degrees of spatial interference. Therefore, multiple frequencies are set to mitigate spatial interference.

[0055] In this embodiment, when transmitting multiple modulated signals, they may be sent in separate time periods or simultaneously.

[0056] In this embodiment, the amplitude restoration process includes:

[0057] The ratio of the average amplitude of the modulated signal to the average amplitude of the satellite received signal is taken as the attenuation ratio;

[0058] The amplitude of the demodulated signal at each moment is multiplied by the attenuation ratio to obtain the restored signal.

[0059] Since the attenuation degrees of signals of different frequencies in space are different, the present invention restores the amplitudes of the various demodulated signals to the same scale.

[0060] In this embodiment, the dispersion is: the variance or standard deviation of each sampling point within the neighborhood of the central sampling point;

[0061] The mean amplitude is: the average amplitude of each sampling point in the neighborhood of the central sampling point;

[0062] The maximum value is: the maximum or minimum value of each sampling point in the neighborhood of the central sampling point.

[0063] The present invention takes each sampling point as the center, and uses the discreteness, amplitude mean and maximum value of the neighborhood range as characteristic values to fully reflect the signal characteristics at the center.

[0064] In this embodiment, the neighborhood range length is set to 3, 4, 5, etc. For example, when the neighborhood range length is set to 3, plus the central sampling point, there are 7 sampling points in the neighborhood range of the central sampling point.

[0065] In this embodiment, the process of obtaining the characteristic deviation includes: at the same time, calculating the average value of the characteristic values of the sampling points in each sampling signal, subtracting the average value from each characteristic value and taking the absolute value to obtain the characteristic deviation, summing up the various characteristic deviations to obtain the total characteristic deviation, and using 1 minus the ratio of the characteristic deviation to the total characteristic deviation to obtain the characteristic deviation.

[0066] In this embodiment, the discrete bias is obtained by calculating the average discreteness of the sampling points in each sampled signal at the same time, subtracting the average discreteness from each discreteness and taking the absolute value to obtain a discrete deviation, summing the discrete deviations to obtain a total discrete deviation, and subtracting the ratio of the discrete deviation to the total discrete deviation from 1 to obtain the discrete bias: , where γ σ,i,t is the discrete bias of the sampling point at time t in the i-th sampling signal, | | is the absolute value operation, σ i,t is the discreteness of the sampling point at the tth moment in the i-th sampling signal, N is the number of sampling signals, t is the number of sampling moments, and i is a positive integer.

[0067] The discreteness of the present invention reflects the fluctuation of the signal. In scenarios such as satellite communications, signal transmission is susceptible to interference from various factors, resulting in differences in stability. Calculating the discrete deviation can compare the discreteness of each sampled signal with the average discreteness, clearly showing the degree of deviation of the volatility of each signal point from the overall average level. The larger the ratio of the discrete deviation to the total discrete deviation, the further the discreteness at the sampling point deviates from the average level, and the smaller the discrete deviation at the sampling point. In the subsequent signal fusion process, reducing the weight of its amplitude in the fusion can effectively reduce the interference of local abnormal signals on the fusion results.

[0068] In the present invention, the same sampling frequency is adopted for each restored signal, and the same number of sampling points is extracted.

[0069] In this embodiment, the process of obtaining the amplitude deviation includes: calculating the average of the amplitude means in each sampling signal at the same time, subtracting the average from the amplitude mean of the sampling point in each sampling signal and taking the absolute value to obtain the amplitude deviation, summing the amplitude deviations to obtain the total amplitude deviation, and subtracting the ratio of the amplitude deviation to the total amplitude deviation from 1 to obtain the amplitude deviation: , where γ s,i,t is the amplitude deviation of the sampling point at time t in the i-th sampling signal, s i,t is the amplitude mean of the sampling point at time t in the i-th sampling signal, s t,avg is the average value of the amplitude mean at time t, and || is the absolute value operation.

[0070] The amplitude mean in this invention reflects the overall amplitude level within the neighborhood of that sampling point. Calculating the amplitude deviation compares the amplitude mean of each sampling point with the overall amplitude mean, clearly showing the degree of deviation between the amplitude of each signal point range and the overall average level. The greater the ratio of the amplitude deviation to the total amplitude deviation, the further the amplitude at that sampling point deviates from the average level, and the smaller the amplitude deviation at that sampling point. This reduces the weight of that amplitude in the subsequent signal fusion process, effectively minimizing the interference of local abnormal signals on the fusion results.

[0071] In this embodiment, the process of obtaining the maximum value deviation includes: calculating the average of the maximum values in each sampling signal at the same time, subtracting the maximum value mean from the maximum value of the sampling point in each sampling signal and taking the absolute value to obtain the maximum value deviation, summing the maximum value deviations to obtain the total maximum value deviation, and subtracting the ratio of the maximum value deviation to the total maximum value deviation from 1 to obtain the maximum value deviation: , where γ M,i,t is the maximum deviation of the sampling point at time t in the i-th sampling signal, M i,t is the maximum value of the sampling point at time t in the i-th sampling signal, M t,avg is the maximum mean value at time t.

[0072] The maximum value reflects the extreme state of a signal at a specific moment. By calculating the maximum deviation and comparing the maximum value of each sampling point with the maximum mean, we can accurately measure the degree of deviation of the extreme values in each sampled signal. The larger the ratio of the maximum deviation to the total maximum deviation, the further the maximum value at that sampling point deviates from the average level, and the smaller the maximum deviation at that sampling point. In the subsequent signal fusion process, reducing the weight of its amplitude in the fusion process can effectively reduce the interference of local abnormal signals on the fusion results.

[0073] In this embodiment, the process of obtaining the first fusion signal includes:

[0074] Multiply each sampled signal by the discrete offset sequence of each sampled signal at the same sampling moment to obtain a discrete weighted signal;

[0075] All discrete weighted signals are added together at the same sampling time to obtain a first fused signal.

[0076] In this embodiment, the process of obtaining the second fusion signal includes:

[0077] Multiply each sampling signal by the amplitude offset sequence of each sampling signal at the same sampling time to obtain an amplitude weighted signal;

[0078] All amplitude-weighted signals are added together at the same sampling time to obtain a second fused signal.

[0079] In this embodiment, the process of obtaining the third fusion signal includes:

[0080] Multiply each sampling signal by the maximum deviation sequence of each sampling signal at the same sampling time to obtain a maximum weighted signal;

[0081] All the maximum value weighted signals are added together at the same sampling time to obtain a third fused signal.

[0082] In the present invention, since a discrete bias, an amplitude bias, and a maximum bias are calculated for each sampling point in the sampled signal, each sampled signal corresponds to a discrete bias sequence, an amplitude bias sequence, and a maximum bias sequence. Each sampled signal is element-wise multiplied with the corresponding discrete bias sequence, and the multiplied signals are then element-wise added to obtain a fused signal, thereby configuring the fusion weight according to the discrete situation. Each sampled signal is element-wise multiplied with the corresponding amplitude bias sequence, and the multiplied signals are then element-wise added to obtain a fused signal, thereby configuring the fusion weight according to the amplitude situation. Each sampled signal is element-wise multiplied with the corresponding maximum bias sequence, and the multiplied signals are then element-wise added to obtain a fused signal, thereby configuring the fusion weight according to the maximum situation.

[0083] In this embodiment, the weighted processing formula is: , where G is the signal quality enhancement signal, ω1 is the first weight, ω2 is the second weight, ω3 is the third weight, g1 is the first fusion signal, g2 is the second fusion signal, and g3 is the third fusion signal.

[0084] In this embodiment, the sizes of ω1, ω2, and ω3 can all be set to 1 / 3, so as to evenly consider the impact of the three characteristics on the signal. More preferably, the optimal values of ω1, ω2, and ω3 can be found by an optimization method that minimizes the error. The initial values of ω1, ω2, and ω3 are set to 1. The first fusion signal, the second fusion signal, and the third fusion signal are used as samples. The nth sample is input into the weighted processing formula to obtain the signal quality enhancement signal of the nth iteration. Each weight is updated based on the difference between the signal quality enhancement signal of the nth iteration and the corresponding baseband signal. When the number of iterations meets the threshold, the iteration is stopped, and the weight corresponding to the minimum difference among all iterations is found as the optimal value. The mean square error (MSE) can be used to calculate the difference between the signal quality enhancement signal of the nth iteration and the corresponding baseband signal. The threshold can be set to 2000 times. The formula for updating the weight is: , where J n is the gap of the nth iteration, ω m,n+1 is the weight of the mth weight in the n+1th iteration, ω m,n is the weight of the mth weight in the nth iteration, m is 1, 2, 3, is the partial derivative, and a is the step size. The step size a is typically set between 0.001 and 1, and can be tried with values such as 0.01 and 0.1. The method for finding the optimal values of ω1, ω2, and ω3 described in this embodiment is not limited to this. Genetic algorithms, particle swarm optimization algorithms, and the like can also be used to find the optimal weights.

[0085] Existing spatial diversity techniques fail to consider the degree of deformation and local variations at each local level, resulting in low combination accuracy and poor synthesized signal quality. However, this method uses each sampling point in the sampled signal as the center and uses the characteristic values of the neighborhood (dispersion, amplitude mean, and maximum) as the characteristic values of the central sampling point, accurately capturing the local characteristics of the signal. This allows subsequent processing to fully account for signal variations at different local locations, providing a more accurate data foundation for signal fusion and enhancement, effectively improving the accuracy of signal combination.

[0086] During transmission, signals are affected by factors such as atmospheric attenuation, causing amplitude variations. This method restores the amplitude of the demodulated signal based on the attenuation ratio of the satellite-received signal. This restores the energy lost due to transmission loss, bringing the signal amplitude closer to the original transmitted signal and reducing signal distortion caused by amplitude variations.

[0087] This method extracts characteristic deviations (discrete deviations, amplitude deviations, and maximum deviations) and constructs a sequence of these deviations. These deviations reflect the relative changes in the characteristics of different sampled signals at the same moment. Based on this sequence of deviations, the individual sampled signals are fused to reduce interference from sampling points with large local deformations, thereby minimizing signal distortion and deformation.

[0088] The present invention performs weighted processing on the three fusion signals, takes into account the deformation influence of the three features, and further improves the signal quality.

[0089] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A method for enhancing the signal quality of satellite communications, characterized in that: The following steps are involved: The same baseband signal is modulated using carrier waves of different frequencies and sent to the satellite for demodulation processing to obtain a demodulated signal; According to the attenuation ratio of the satellite received signal, the amplitude of the corresponding demodulated signal is restored to obtain a restored signal; Each restored signal is sampled and processed to obtain a sampled signal. With each sampling point in the sampled signal as the center, the characteristic value of the neighborhood range is used as the characteristic value of the central sampling point, where the characteristic values include: dispersion, amplitude mean and maximum value; Extract characteristic deviations according to the characteristic values of each sampling point at the same time, and construct the characteristic deviations at each time belonging to the same sampling signal into a characteristic deviation sequence, wherein the characteristic deviations include: discrete deviations, amplitude deviations, and maximum deviations; According to the three characteristic bias sequences, each sampling signal is fused to obtain three fusion signals; The three fusion signals are weighted and processed to obtain a signal with enhanced signal quality.

2. The method for enhancing satellite communication signal quality according to claim 1, wherein: The process of obtaining the demodulated signal includes: The same baseband signal is modulated by carrier waves of different frequencies to obtain multiple modulated signals; Each modulated signal is sent to a satellite via an uplink of an antenna to obtain a satellite reception signal, wherein one modulated signal corresponds to one satellite reception signal; The satellite received signal is demodulated to obtain a demodulated signal.

3. The method for enhancing satellite communication signal quality according to claim 1, wherein: The amplitude restoration process includes: The ratio of the average amplitude of the modulated signal to the average amplitude of the satellite received signal is taken as the attenuation ratio; The amplitude of the demodulated signal at each moment is multiplied by the attenuation ratio to obtain the restored signal.

4. The method for enhancing satellite communication signal quality according to claim 1, wherein: The dispersion is: the variance or standard deviation of each sampling point in the neighborhood of the central sampling point; The mean amplitude is: the average amplitude of each sampling point in the neighborhood of the central sampling point; The maximum value is: the maximum or minimum value of each sampling point in the neighborhood of the central sampling point.

5. The method for enhancing satellite communication signal quality according to claim 1, wherein: The process of obtaining the characteristic deviation includes: at the same time, calculating the average value of the characteristic values of the sampling points in each sampling signal, subtracting the average value from each characteristic value and taking the absolute value to obtain the characteristic deviation, summing up the various characteristic deviations to obtain the total characteristic deviation, and using 1 minus the ratio of the characteristic deviation to the total characteristic deviation to obtain the characteristic deviation.

6. The method for enhancing satellite communication signal quality according to claim 1, wherein: The discrete bias acquisition process includes: calculating the average value of the discreteness of the sampling points in each sampling signal at the same time, subtracting the average value from each discreteness and taking the absolute value to obtain the discrete deviation, summing up the discrete deviations to obtain the total discrete deviation, and subtracting the ratio of the discrete deviation to the total discrete deviation from 1 to obtain the discrete bias; The process of obtaining the amplitude deviation includes: calculating the average of the amplitude means in each sampling signal at the same time, subtracting the average from the amplitude mean of the sampling point in each sampling signal and taking the absolute value to obtain the amplitude deviation, summing the amplitude deviations to obtain the total amplitude deviation, and subtracting the ratio of the amplitude deviation to the total amplitude deviation from 1 to obtain the amplitude deviation; The process of obtaining the maximum value deviation includes: at the same time, calculating the average value of the maximum values in each sampling signal, taking the maximum value of the sampling point in each sampling signal minus the maximum value mean and taking the absolute value to obtain the maximum value deviation, summing up the maximum value deviations to obtain the total maximum value deviation, and taking 1 minus the ratio of the maximum value deviation to the total maximum value deviation to obtain the maximum value deviation.

7. The method for enhancing satellite communication signal quality according to claim 1, wherein: The process of obtaining the first fusion signal includes: Multiply each sampled signal by the discrete offset sequence of each sampled signal at the same sampling moment to obtain a discrete weighted signal; All discrete weighted signals are added together at the same sampling time to obtain a first fused signal.

8. The method for enhancing satellite communication signal quality according to claim 1, wherein: The process of obtaining the second fusion signal includes: Multiply each sampling signal by the amplitude offset sequence of each sampling signal at the same sampling time to obtain an amplitude weighted signal; All amplitude-weighted signals are added together at the same sampling time to obtain a second fused signal.

9. The method for enhancing satellite communication signal quality according to claim 1, wherein: The process of obtaining the third fusion signal includes: Multiply each sampling signal by the maximum deviation sequence of each sampling signal at the same sampling time to obtain a maximum weighted signal; All the maximum value weighted signals are added together at the same sampling time to obtain a third fused signal.

10. The method for enhancing satellite communication signal quality according to claim 1, wherein: The weighted processing formula is: , where G is the signal quality enhancement signal, ω1 is the first weight, ω2 is the second weight, ω3 is the third weight, g1 is the first fusion signal, g2 is the second fusion signal, and g3 is the third fusion signal.

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