Transceiver system of Ka-band satellite small station

Abstract

The invention relates to the technical field of satellite transceiving, in particular to a Ka-band satellite small station transceiver system which comprises an antenna module, a transceiving switching module, a low-noise amplification module, a frequency conversion module, a signal processing module, a power management module and a system control module. According to the Ka-band satellite small station transceiver system, the accuracy and stability of antenna beam adjustment are improved in combination with adaptive filtering, and many problems existing in Ka-band application of an existing satellite small station transceiver system are solved; the system has the remarkable advantages of high receiving and transmitting link isolation, high noise suppression capability, low power consumption, small size, good compatibility to multi-band multi-mode signals and the like, and has wide application prospects in the field of satellite communication, and meanwhile, the signal processing module applies a power inversion algorithm based on a minimum mean square error (LMS) algorithm to improve the quality of transmitted signals. And the transmission quality of the signal in the satellite small station scene in the transmission process is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of satellite transceiver technology, and in particular to a Ka-band satellite station transceiver system. Background Art

[0002] With the rapid development of satellite communication technology, Ka-band (26.5-40GHz) has gradually attracted widespread attention and application due to its advantages such as wider available bandwidth and smaller antenna size. However, there are still many problems in the application of existing satellite station transceiver systems in Ka-band.

[0003] Traditional transceiver systems often face the problem of insufficient isolation between the transceiver link, which easily leads to signal crosstalk and affects the communication quality. At the same time, the noise suppression effect in the high frequency band is not good, which reduces the signal-to-noise ratio of the received signal. In addition, the system has high power consumption and large size, which is not conducive to its promotion and use in satellite small station scenarios with miniaturization and low power consumption requirements. The compatibility of multi-band and multi-mode signals is poor, and the transmission quality of the signal will decrease during the transmission process, making it difficult to adapt to the complex and changing needs of satellite communication services. Summary of the invention

[0004] The object of the present invention is to provide a Ka-band satellite station transceiver system to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: a Ka-band satellite station transceiver system, comprising an antenna module, a transceiver switching module, a low-noise amplification module, a frequency conversion module, a signal processing module, a power management module and a system control module, wherein the antenna module adopts a high-gain, low-sidelobe Ka-band flat antenna, and its antenna array is composed of a plurality of microstrip patch antennas, and by optimizing the shape and arrangement of the patches, efficient reception and transmission of Ka-band signals are achieved;

[0006] The transceiver switching module adopts a PIN diode switch, and through a reasonable design of its bias circuit, in the receiving mode, the transmitting channel is isolated from the antenna to avoid interference of the transmitting signal on the receiving signal; in the transmitting mode, the receiving channel is isolated from the antenna to prevent high-power transmitting signals from damaging the receiving circuit;

[0007] The low noise amplification module adopts a multi-stage low noise amplifier (LNA) cascade mode, and selects transistors with low noise coefficient and high gain as amplification elements;

[0008] The frequency conversion module includes a down-conversion unit and an up-conversion unit. The down-conversion unit adopts a single-conversion architecture and uses a mixer to mix the received Ka-band high-frequency signal with a local oscillator signal generated by a local oscillator to obtain an intermediate frequency signal.

[0009] The up-conversion unit adopts a single-conversion architecture, which first modulates the baseband signal to be transmitted through the intermediate frequency, and then mixes it with the local oscillator signal generated by the local oscillator through the mixer to up-convert the intermediate frequency signal to the Ka band;

[0010] The signal processing module uses a power inversion algorithm based on a minimum mean square error LMS algorithm to improve the quality of the transmission signal;

[0011] The power management module dynamically adjusts the supply voltage and current according to the working status of each module of the system to reduce the power consumption of the system;

[0012] The system control module uses a microcontroller as the core control element, which is responsible for the coordination and management of the entire transceiver system. The MCU receives status information from each module such as the transceiver switching unit, signal processing unit, power management unit, etc., and controls and schedules each module according to a preset control strategy.

[0013] Preferably, the antenna module is equipped with an adaptive beam forming module, which can dynamically adjust the antenna beam direction according to the incident direction of the satellite signal, thereby improving the gain and stability of signal reception.

[0014] Preferably, the transceiver switching module further includes a transceiver status monitoring module for monitoring the working status of the transceiver channel in real time, such as signal power and frequency parameters.

[0015] Preferably, the low noise amplifier module is provided with a bandpass filter before the first-stage LNA to suppress out-of-band noise and interference signals and improve the signal-to-noise ratio of the receiving link.

[0016] Preferably, the down-conversion unit in the frequency conversion module is used for a receiving link, and the up-conversion unit is used for a transmitting link.

[0017] Preferably, the signal processing module also includes a data storage module for storing configuration parameters, signal processing algorithm programs and temporary data during system operation.

[0018] Preferably, the power management module also includes a power monitoring module for monitoring the power supply voltage and current parameters of the system in real time.

[0019] Preferably, the system control module also has a remote monitoring function and can be connected to a remote monitoring center via an Ethernet interface and a Wi-Fi interface.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] 1. The Ka-band satellite station transceiver system combines adaptive filtering to improve the accuracy and stability of antenna beam adjustment, solving many problems existing in existing satellite station transceiver systems in Ka-band applications. It has significant advantages such as high isolation of transceiver links, strong noise suppression capability, low power consumption, small size and good compatibility with multi-band and multi-mode signals. It has broad application prospects in the field of satellite communications.

[0022] 2. The signal processing module of the Ka-band satellite station transceiver system uses a power inversion algorithm based on the minimum mean square error LMS algorithm to improve the quality of the transmission signal, effectively improving the transmission quality of the signal during the transmission process in the satellite station scenario. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0024] Figure 1 It is a system architecture diagram of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] See also Figure 1 The present invention provides a technical solution: a Ka-band satellite station transceiver system, including an antenna module, a transceiver switching module, a low-noise amplification module, a frequency conversion module, a signal processing module, a power management module and a system control module. The antenna module adopts a high-gain, low-sidelobe Ka-band flat antenna, and its antenna array is composed of a plurality of microstrip patch antennas. By optimizing the shape and arrangement of the patches, efficient reception and transmission of Ka-band signals are achieved;

[0027] The microstrip patch antenna array is made using printed circuit board (PCB) technology. First, the antenna's operating frequency, bandwidth, gain and other indicators are determined, and then the antenna's patch shape, size, arrangement and feeding network are optimized using electromagnetic simulation software (such as CST and HFSS).

[0028] After the PCB is made, the antenna unit is assembled and debugged. Use a vector network analyzer to measure the antenna's standing wave ratio, gain, radiation pattern and other parameters, and fine-tune the antenna based on the measurement results, such as adjusting the length, width or feeding point position of the patch, until the antenna parameters meet the design requirements.

[0029] The antenna unit is also equipped with an adaptive beamforming module, which can dynamically adjust the antenna beam direction according to the incident direction of the satellite signal to improve the gain and stability of signal reception. By real-time monitoring of the strength and phase of the received signal, the optimal beamforming weight is calculated using a digital signal processing algorithm, and then the excitation amplitude and phase of each unit in the antenna array are controlled to achieve adaptive adjustment of the beam.

[0030] A signal strength monitoring module is provided on each receiving unit of the antenna array, which can collect the received satellite signal strength value in real time.

[0031] The signal strength of each receiving unit is sampled at a certain time interval (every 10 milliseconds) and recorded.

[0032] For adjacent receiving units, the phase difference of the signal reaching the adjacent receiving units is calculated based on the signal strength sampling values ​​received by them and the known receiving unit spacing.

[0033] Assuming the distance between adjacent receiving units is d, the signal wavelength is λ, and the received signal strengths are I1 and I2 respectively, the phase difference can be roughly estimated by some empirical formulas or pre-established models. For example, a certain correlation function between signal intensity and phase (this function may need to be obtained by fitting a large amount of experimental and simulation data) can be used to calculate the relative phase change based on I1 and I2.

[0034] The calculated phase difference information between adjacent receiving units is summarized to form a phase difference matrix of the entire antenna array.

[0035] According to the phase difference matrix and the geometric structure of the antenna array, the beamforming algorithm is used to determine the incident direction angle of the satellite signal. The beamforming algorithm based on Fourier transform is used. The phase difference matrix is ​​regarded as the signal distribution in the spatial domain, and it is converted to the angle domain through Fourier transform. The angle corresponding to the signal intensity peak in the angle domain is found, which is the incident direction angle of the satellite signal.

[0036] For a uniform linear antenna array, suppose there are N antenna elements in total, and the phase difference between the nth element and the 0th element is Then the beamforming output B(θ) in the angle domain can be expressed as:

[0037]

[0038] Where: w n is the weighting coefficient (it can be set to uniform weighting initially, i.e. ), θ is the incident angle variable. By calculating B(θ) at different θ values, the θ value corresponding to its maximum value is found, which is the incident direction angle.

[0039] According to the calculated incident direction angle, the antenna beam direction parameters that need to be adjusted are determined.

[0040] If the antenna is adjusted mechanically (such as by a motor driving the antenna to rotate), the angle and direction that the motor needs to rotate is calculated based on the difference between the incident angle and the current antenna pointing angle, and then a control signal is sent to the motor drive circuit to drive the motor to drive the antenna to rotate the corresponding angle.

[0041] If the antenna uses electronic beam adjustment (such as phased array antenna), the phase value that needs to be adjusted for each antenna unit is calculated based on the incident angle. Suppose the desired beam pointing angle is θ d , then the phase adjustment required for the nth antenna element is for:

[0042] These phase adjustment amounts are then sent to the phase shifters of the phased array antenna, allowing the phase shifters to adjust the phases of each antenna unit, thereby adjusting the direction of the antenna beam.

[0043] After adjusting the antenna beam direction, continue to monitor the signal strength of each receiving unit and repeat the above algorithm steps to continuously optimize the adjustment of the antenna beam direction.

[0044] Based on the results of multiple adjustments, a feedback mechanism is established. If it is found that the signal strength has not been significantly improved after multiple consecutive adjustments, it may be necessary to re-evaluate the algorithm parameters or check whether the antenna system has any faults, and make corresponding adjustments or corrections.

[0045] The transceiver switching module uses a PIN diode switch to isolate the transmitting channel from the antenna to avoid interference of the transmitting signal on the receiving signal; in the transmitting mode, the receiving channel is isolated from the antenna to prevent high-power transmitting signals from damaging the receiving circuit; the transceiver switching unit also includes a transceiver status monitoring module, which monitors the working status of the transceiver channel in real time, such as signal power, frequency and other parameters, and feeds these parameters back to the system control unit.

[0046] The low noise amplifier module adopts a multi-stage low noise amplifier (LNA) cascade method, and selects transistors with low noise coefficient and high gain as amplification elements;

[0047] A bandpass filter is set before the first-stage LNA, which can effectively suppress out-of-band noise and interference signals and improve the signal-to-noise ratio of the receiving link.

[0048] A bandpass filter allows signals within a specific frequency range (passband) to pass through, while attenuating or blocking signals outside the passband (stopband). Its frequency response can be described by the transfer function H(s). For a second-order bandpass filter, its transfer function is generally in the form of:

[0049]

[0050] Where: w0 is the center angular frequency, Q is the quality factor, which determines the bandwidth and selectivity of the filter. In practical applications, the values ​​of w0 and Q are determined by designing the circuit component parameters of the filter (such as the values ​​of capacitors and inductors) to meet the requirements for passband and stopband.

[0051] When the signal passes through the filter, the relationship between the output signal Y(S) and the input signal X(s) is:

[0052] Y(S)=H(s)X(s).

[0053] In the frequency domain, the relationship between the spectrum X(jw) of the input signal and the spectrum Y(jw) of the output signal is:

[0054] Y(jw)=H(jw)X(jw), where X(jw) is the frequency response function of the filter, which describes the gain or attenuation characteristics of the filter to signals of different frequencies.

[0055] Algorithm steps to suppress out-of-band noise and interfering signals

[0056] Signal spectrum analysis: First, perform fast Fourier transform (FFT) on the received mixed signal containing signal, noise and interference to obtain its spectrum X(k). Assume the sampling frequency is f s , the number of sampling points is N, then the frequency resolution Δf=f s / N, k=0,1,…,N-1 corresponds to the frequency f k =kΔf.

[0057] By analyzing the spectrum, the main frequency components of the signal (passband range) and the frequency range where noise and interference are located (stopband range) can be determined.

[0058] Filter parameter determination: Design the filter parameters according to the passband and stopband requirements of the signal. For example, if the center frequency of the signal is f c , the bandwidth is B, then the central angular frequency w0=2πf c , quality factor Q = f c / B. Then, based on the selected filter type (such as Butterworth, Chebyshev, etc.) and circuit structure (such as LC circuit, active RC circuit, etc.), the filter component parameters are calculated to achieve the desired frequency response.

[0059] Filtering: Filter the mixed signal through a designed filter. In digital signal processing, this can be achieved through the difference equation of the discrete time filter. For a second-order IIR (infinite impulse response) bandpass filter, its difference equation is:

[0060] y(n)=b0x(n)+b1x(n-1)+b2x(n-2)-a1y(n-1)-a2y(n-2);

[0061] Where x(n) is the input signal sequence, y(n) is the output signal sequence, b0, b1, b2, a1, a2 are filter coefficients, which are related to the coefficients of the filter transfer function H(s). By continuously updating the samples of the input signal and the output signal, the signal filtering is achieved.

[0062] Spectrum analysis and evaluation after filtering: Perform FFT on the filtered signal again to obtain the filtered spectrum Y(k). Compare the changes in the signal spectrum before and after filtering, especially observe the attenuation of noise and interference signals in the stopband. The filtering effect can be evaluated by calculating the signal-to-noise ratio (SNR). The calculation formula for SNR is:

[0063]

[0064] in: is the sum of the signal powers within the passband, It is the sum of the signal powers within the stop band. If the SNR is improved, it means that the filter effectively suppresses out-of-band noise and interference signals.

[0065] In actual environments, the frequency characteristics of signals, noise, and interference may change. In order to better adapt to such changes, an adaptive filtering algorithm can be used. For example, the least mean square (LMS) adaptive filtering algorithm, the basic principle of which is to adjust the filter coefficients according to the error between the filter output and the expected output (usually a reference signal or a known signal characteristic) so that the mean square value of the error is minimized.

[0066] Assume that the coefficient vector of the adaptive filter is w(n)=[w0(n),w1(n),…,w L-1 (n)] T ;

[0067] The input signal vector is x(n) = [x(n), x(n-1), ..., x(n-L+1)] T ;

[0068] Where L is the order of the filter. Then the output of the filter y(n) = w T (n)x(n);

[0069] The error signal e(n) = d(n) - y(n); where d(n) is the desired output. The LMS algorithm updates the filter coefficients by the following formula: w(n+1) = w(n) + μe(n)x(n);

[0070] Among them: μ is the step size factor, which controls the speed of coefficient update. By continuously iteratively updating the filter coefficients, the adaptive filter can automatically track the changes of signals and interference, thereby more effectively suppressing out-of-band noise and interference signals and improving the signal-to-noise ratio of the receiving link.

[0071] Matching networks are used between each level of LNA for impedance matching to minimize energy loss during signal transmission. At the same time, an automatic gain control (AGC) circuit is integrated in the low-noise amplifier unit, which automatically adjusts the gain of the amplifier according to the strength of the received signal to prevent the signal from being distorted due to being too strong or being drowned by noise due to being too weak.

[0072] The frequency conversion module includes a down-conversion unit and an up-conversion unit.

[0073] The down-conversion unit (receiving link) adopts a single-conversion architecture and uses a mixer to mix the received Ka-band high-frequency signal with the local oscillator signal generated by the local oscillator to obtain an intermediate frequency signal. The local oscillator uses a high-stability phase-locked loop (PLL) frequency synthesizer, which can accurately generate the required local oscillator frequency, ensuring that the intermediate frequency signal after mixing is stable and accurate.

[0074] An intermediate frequency filter is set after the mixer to filter out the spurious signals and useless sidebands generated during the mixing process, further improving the purity of the intermediate frequency signal. The intermediate frequency signal is amplified and conditioned before being sent to the subsequent signal processing unit.

[0075] The up-conversion unit (transmitting link) also adopts a single-conversion architecture to first modulate the baseband signal to be transmitted with an intermediate frequency, and then mix it with the local oscillator signal generated by the local oscillator through a mixer to up-convert the intermediate frequency signal to the Ka band.

[0076] The mixer in the up-conversion unit adopts a double-balanced mixer, which has the characteristics of low distortion and high isolation. A bandpass filter and a power amplifier are set after the mixer. The bandpass filter is used to filter out the spurious signals generated during the up-conversion process, and the power amplifier amplifies the up-converted Ka-band signal to the required transmission power to ensure that the signal can be effectively transmitted to the satellite.

[0077] The signal processing module uses the power inversion algorithm based on the least mean square error LMS algorithm to improve the quality of the transmission signal;

[0078] The power inversion algorithm enhances the anti-interference capability of the transmission signal in the following ways:

[0079] Assume that the number of antenna elements is N, and the power inversion array selection weight vector is W = [W1, W2, ..., W N ]T. The weight coefficient of the output power of the first array element is a constant. The weight coefficients of the other N-1 array elements are adjustable. Set up four antenna array elements and analyze their antenna radiation patterns. At this time, the weight coefficient is: W = [W1, W2, W3, W4]T. In the power inversion algorithm, the strongest signal component in the received signal should be suppressed to the greatest extent. Therefore, in the implementation of the adaptive filter, the received signal of a certain array element is selected as the desired signal. Usually, the received signal of the reference array element is selected as the desired signal. Without loss of generality, W1 can be set to 1.

[0080] The input signal is:

[0081] s(t)=[s1(t), s2(t), s3(t), s4(t),]T

[0082] The expected signal is:

[0083] d(n)=W1s1(t)

[0084] The output of the filter is:

[0085] y(n)=w·sT

[0086] The array output is an error signal expressed as:

[0087] e(n)=d(n)-y(n)

[0088] Under the gradient algorithm, the weight coefficient update expression is:

[0089]

[0090] Where μ is the iteration step size of the gradient algorithm.

[0091] In actual situations, the antenna array is generally a four-element array, and four antenna array elements with a square array shape and an array element interval of λ / 2 (λ is the signal wavelength) are selected to form the antenna array.

[0092] The core of the LMS adaptive algorithm is to continuously adjust the weight coefficients. Before sending a resource allocation signal for the communication link, the processor will perform A / D analog-to-digital conversion on the electrical signal of the current environmental data, compare the current data with the local database, and set the weight coefficient that best suits the current environment based on the actual situation, so that the array output power of the interference signal is as small as possible, that is, when the interference signal power is small, the power of the output interference signal increases with the increase of the input interference signal; and when the interference signal power is higher than a certain limit value, the stronger the input interference signal, the smaller the output interference signal power. After the interference signal power is reduced, the quality of the transmission signal will improve, that is, the anti-interference ability of the transmission signal will be enhanced.

[0093] The power management module can dynamically adjust the supply voltage and current according to the working status of each module in the system to reduce system power consumption. For example, when the receiving link is idle, the supply voltage of the low-noise amplifier unit and the down-conversion unit is automatically reduced; when the transmitting link is not working, the power supply of the up-conversion unit and the power amplifier is turned off.

[0094] The power management unit also includes a power monitoring module, which monitors the system's power supply voltage, current and other parameters in real time. When abnormal conditions such as overvoltage, overcurrent, and undervoltage occur, timely protective measures are taken, such as cutting off the power supply and issuing an alarm, to ensure the safe and stable operation of the system.

[0095] The system control module uses a microcontroller (MCU) as the core control element, responsible for the coordination and management of the entire transceiver system. The MCU receives status information from the transceiver switching unit, signal processing unit, power management unit and other modules, and controls and schedules each module according to the preset control strategy.

[0096] The system control module also has a remote monitoring function, which can be connected to the remote monitoring center through a network interface (such as Ethernet interface, Wi-Fi interface) to achieve remote configuration, fault diagnosis and performance monitoring of the satellite station transceiver system. For example, the remote monitoring center can remotely adjust the operating frequency, transmission power, channel coding parameters, etc. of the transceiver system, and obtain real-time system operation status information, such as signal strength, signal-to-noise ratio, and temperature of each module.

[0097] System Integration and Testing:

[0098] The antenna module, transceiver switching module, low noise amplifier module, frequency conversion module, signal processing module, power management module and system control module are integrated and assembled to build a complete Ka-band satellite station transceiver system.

[0099] The system is fully tested using satellite signal simulators, spectrum analyzers, oscilloscopes, bit error meters and other testing equipment. The test content includes the system's transceiver performance (such as receiving sensitivity, transmission power, bit error rate, etc.), isolation, noise factor, power consumption, stability and other indicators. The system is further optimized and debugged based on the test results until all system performance indicators meet the design requirements.

[0100] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0101] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Ka-band satellite station transceiver system, including antenna module, transceiver switching module, low noise amplifier module, frequency conversion module, signal processing module, power management module and system control module, characterized in that: The antenna module adopts a high-gain, low-sidelobe Ka-band flat-panel antenna, and its antenna array is composed of multiple microstrip patch antennas. By optimizing the shape and arrangement of the patches, efficient reception and transmission of Ka-band signals are achieved; The transceiver switching module uses a PIN diode switch to isolate the transmission channel from the antenna to avoid interference of the transmission signal on the reception signal; In the transmitting mode, the receiving channel is isolated from the antenna to prevent the high-power transmitting signal from damaging the receiving circuit; The low noise amplification module adopts a multi-stage low noise amplifier (LNA) cascade mode, and selects transistors with low noise coefficient and high gain as amplification elements; The frequency conversion module includes a down-conversion unit and an up-conversion unit. The down-conversion unit adopts a single-conversion architecture and uses a mixer to mix the received Ka-band high-frequency signal with a local oscillator signal generated by a local oscillator to obtain an intermediate frequency signal. The up-conversion unit adopts a single-conversion architecture, which first modulates the baseband signal to be transmitted through the intermediate frequency, and then mixes it with the local oscillator signal generated by the local oscillator through the mixer to up-convert the intermediate frequency signal to the Ka band; The signal processing module uses a power inversion algorithm based on a minimum mean square error LMS algorithm to improve the quality of the transmission signal; The power management module dynamically adjusts the supply voltage and current according to the working status of each module of the system to reduce the power consumption of the system; The system control module uses a microcontroller as the core control element, which is responsible for the coordination and management of the entire transceiver system. The MCU receives status information from each module such as the transceiver switching unit, signal processing unit, power management unit, etc., and controls and schedules each module according to a preset control strategy.

2. The Ka-band satellite station transceiver system according to claim 1, characterized in that: The antenna module is equipped with an adaptive beam forming module, which can dynamically adjust the antenna beam direction according to the incident direction of the satellite signal, thereby improving the gain and stability of signal reception.

3. The Ka-band satellite station transceiver system according to claim 1, characterized in that: The transceiver switching module also includes a transceiver status monitoring module, which monitors the working status of the transceiver channel in real time, such as signal power and frequency parameters.

4. The Ka-band satellite station transceiver system according to claim 1, characterized in that: The low noise amplifier module is provided with a bandpass filter before the first-stage LNA to suppress out-of-band noise and interference signals and improve the signal-to-noise ratio of the receiving link.

5. The Ka-band satellite station transceiver system according to claim 1, characterized in that: The down-conversion unit in the frequency conversion module is used for a receiving link, and the up-conversion unit is used for a transmitting link.

6. The Ka-band satellite station transceiver system according to claim 1, characterized in that: The signal processing module also includes a data storage module for storing configuration parameters, signal processing algorithm programs and temporary data during system operation.

7. The Ka-band satellite station transceiver system according to claim 1, characterized in that: The power management module also includes a power monitoring module for real-time monitoring of the power supply voltage and current parameters of the system.

8. The Ka-band satellite station transceiver system according to claim 1, characterized in that: The system control module also has a remote monitoring function and can be connected to a remote monitoring center via an Ethernet interface and a Wi-Fi interface.

Images