Phase detection regulation and control system for ultra-narrow-band Ku wave band signal

Abstract

The invention provides a phase detection regulation and control system for an ultra-narrow-band Ku-band signal, and the system comprises a PL end which is used for carrying out the preprocessing of a plurality of paths of input Ku-band signals; the PS end is used for detecting the phases of the multiple paths of final baseband signals obtained through preprocessing to obtain a phase detection result and sending the phase detection result to the upper computer; the upper computer is used for generating a phase regulation and control instruction according to the phase detection result; and the phase shift control module adjusts the phase of the Ku wave band signal of the corresponding path. According to the method, multiple paths of narrowband signals can be synchronously extracted, phases of the narrowband signals can be analyzed, microsecond-level detection efficiency can be achieved, the LMS algorithm is introduced in the PL end processing process to extract narrowband target signals, a self-adaptive step length adjusting filter is introduced in the LMS algorithm, and detection precision is improved. The method has higher flexibility and adaptability, can effectively meet the processing requirements of different signal types in a complex environment, and improves the universality and applicability of a signal detection system.

Description

Technical Field

[0001] The present invention belongs to the technical field of signal detection, and in particular relates to a phase detection and control system for an extremely narrowband Ku-band signal. Background Art

[0002] With the rapid development of wireless communication technology, phase detection of radio frequency signals plays an increasingly important role in the fields of radar, communication, electronic countermeasures, etc. Ku-band signals have higher frequencies and shorter wavelengths, can provide higher data transmission rates and communication bandwidths, have stronger anti-interference capabilities during transmission, and can maintain signal stability and reliability in complex channel environments. In practice, due to the complex external environment and interference from enemy systems, the signal will produce varying degrees of phase jitter at the receiving terminal, which will have a great impact on the subsequent stage. Therefore, the prior art proposes a technical solution for detecting the signal phase.

[0003] Tsinghua University has applied for a patent called "Signal Detection Method and System". This solution repeatedly triggers the target signal in the system to be tested and changes the modulation phase of the modulated signal at each triggering moment, thereby improving the bandwidth and sensitivity of signal detection. This technological innovation provides new ideas and methods in the field of signal detection. However, this solution does not fully address the limitations of traditional phase detection methods in detecting long continuous and long pulse signals. For short pulses, discontinuous signals or application scenarios that require fast response, its detection efficiency and flexibility may be insufficient.

[0004] The traditional digital frequency characteristics tester, which is widely used at present, is a mainstream means of detecting signal phase. Its core control architecture usually integrates a single-chip microcomputer and a field programmable gate array. The tester uses direct digital frequency synthesis (DDFS) technology to generate frequency scanning signals. This process ensures the accurate generation and flexible regulation of the signal, greatly improving the accuracy and flexibility of the test. In the signal amplitude measurement link, the tester uses the high-precision true RMS detection device AD637, which can accurately measure the effective value of the signal, laying a solid data foundation for the subsequent signal processing process.

[0005] The design structure diagram of the traditional digital frequency characteristic tester is as follows: Figure 1As shown in the figure, this traditional instrument uses a single-chip microcomputer and FPGA (Field Programmable Gate Array) as the control core, uses DDFS technology to generate frequency scanning signals, and uses the effective value detection chip AD637 to measure the signal amplitude; in the FPGA, the high-frequency pulse counting method is used to measure the phase difference, and the signal amplitude-frequency characteristic curve is obtained through single-chip microcomputer calculation. However, this traditional tester will cause large deviations in the results in high temperature and strong electromagnetic interference environments, and has certain limitations in frequency.

[0006] Traditional phase testers are mainly suitable for continuous wave or long pulse signals. When faced with narrowband pulse signals, such testers often fail to work properly and show obvious limitations. In addition, under extreme environmental conditions, such as high temperature or strong electromagnetic interference environment, the measurement results of traditional testers may have large deviations. This is mainly due to the performance degradation of electronic components in high temperature environments and the serious interference of strong electromagnetic interference to the signal transmission path. Traditional testers also have certain limitations in frequency resolution and are difficult to meet the testing requirements of certain specific frequency bands or special application scenarios. Summary of the invention

[0007] In order to solve the above problems existing in the prior art, the present invention provides a phase detection and control system for an extremely narrowband Ku-band signal. The technical problem to be solved by the present invention is achieved through the following technical solutions: A phase detection control system for an extremely narrowband Ku-band signal comprises: The PL end is used to pre-process the input multi-channel Ku-band signals to obtain multiple final baseband signals; The PS end is used to detect the phase of the multiple final baseband signals to obtain a phase detection result, and send the phase detection result to the host computer; A host computer, used for generating a phase control instruction according to the phase detection result; The phase shift control module is used to adjust the phase of the Ku-band signal of the corresponding path according to the phase control instruction.

[0008] Beneficial effects: 1. The present invention provides a phase detection and control system for extremely narrowband Ku-band signals. The system has the ability to extract effective information from narrowband microwave signals and perform digital signal processing, ensuring the real-time processing and solving the limitation of traditional radar detection technology that requires long-term signal monitoring.

[0009] 2. The present invention processes multiple Ku-band signals in parallel, improving the throughput and comprehensive processing capability of the system. In view of the high complexity of the current phase-detection system, the present invention can analyze multiple signals simultaneously and synchronously, greatly accelerating the data processing process, thereby optimizing the efficiency, real-time performance and response speed of the system. In addition, the present invention takes very short time (millisecond level) for a single detection, and can complete multiple phase-detection operations in a very short time, ensuring efficient data processing capability and resource utilization.

[0010] 3. The present invention realizes the function of calibrating the signal phase, and can independently adjust the phase of a certain Ku-band signal, thereby improving the accuracy and stability of radar detection technology.

[0011] 4. The present invention introduces the LMS algorithm in the process of detecting narrowband pulses in multi-channel Ku-band signals, and introduces an adaptive step size adjustment mechanism in the LMS algorithm, further improving the LMS filter, thereby improving the detection and optimization effects.

[0012] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a design structure diagram of a conventional digital frequency characteristic tester of the prior art; Figure 2 It is a schematic diagram of a phase detection control system for an extremely narrowband Ku-band signal provided by the present invention; Figure 3 It is a schematic diagram of the hardware structure of the PL end provided by the present invention; Figure 4 It is a schematic diagram of the processing flow of the PL end provided by the present invention; Figure 5 is a schematic diagram of the phase feedback control provided by the present invention; Figure 6 It is a schematic diagram of the principle of the LMS algorithm provided by the present invention. DETAILED DESCRIPTION

[0014] The present invention is further described in detail below with reference to specific embodiments, but the embodiments of the present invention are not limited thereto.

[0015] like Figure 2 As shown, the present invention provides a phase detection control system for an extremely narrowband Ku-band signal, comprising: The PL end is used to pre-process the input multi-channel Ku-band signals to obtain multiple final baseband signals; The PL end uses an FPGA development board, which integrates 16 channels for one-to-one reception of 16 Ku-band signals.

[0016] refer to Figure 3 As shown, Figure 3 This is the hardware schematic diagram of the PL end of this application. This application uses the Zynq UltraScale+Gen3 RFSoC ZU47DR chip based on Xilinx, which integrates radio frequency analog (RF-Analog), soft decision forward error correction (SD-FEC) and field programmable gate array (FPGA) logic. This application uses this chip to build the PL end. The PL end of this application uses two RF chips RFSoC to complete the preprocessing process of the input multi-channel Ku-band signals; the two RF chips use the FIFO data synchronization module to complete the clock synchronization of the data to obtain multiple final baseband signals. Figure 3 The two RF chips are RF SoC ZU47DR chips. Figure 3 In the RF SoC ZU47DR chip, DDR (Double Data Rate) memory, Flash (flash memory), and PHY (port physical layer) are connected to further enhance its processing capabilities. Two RFSoC ZU47DR chips can process 16 RF signals. The PL end of this application adopts the 6U VPX (VITA 46) standard structure at the hardware architecture level and integrates a total of 16 dedicated data acquisition channels. Figure 3 It is represented by IPEX. Figure 3 The power supply for the two RFSoC ZU47DR chips is 12V. The PL end uses the LMK04828 chip, which is used to synchronize the data of the two RF SoC ZU47DR chips using a reference clock. The core function of the 16 data acquisition channels is to accurately capture 16 Ku-band signals, which are then pre-processed by the RF SoC ZU47DR chip and then forwarded to the main control circuit board in an efficient data stream format for storage. The main control circuit board can respond to demand and realize the retrieval function of these data. Each data acquisition board is designed with a reserved network interface to facilitate connection with a network switch, and transmit key information such as working status monitoring and data processing results through the Ethernet protocol.

[0017] Combination Figure 2 and Figure 4 , the PL end of the present application includes: a narrowband pulse extraction and optimization module, a first DDC module, a first ADC module, a second DDC module, a FIFO bit width conversion module, a FIR low-pass filter and a FIFO data synchronization module; Among them, the PL end uses two RF chips to complete the processing of narrowband pulse extraction and optimization module, first DDC module, first ADC module, second DDC module, FIFO bit width conversion module, and FIR low-pass filter, and uses LMK04828 chip to complete the function of FIFO data synchronization module, and synchronizes the data clocks of the two RF chips to obtain multiple final baseband signals.

[0018] The narrowband pulse extraction and optimization module is used to extract the narrowband pulses in each Ku-band signal and optimize the extracted narrowband pulses to obtain narrow pulse target signals; The narrowband pulse extraction and optimization module collects 16 Ku-band signals containing complex background noise from the RF interface, and then identifies and separates the narrow pulse target signal from the 16 Ku-band signals. The main steps of the narrowband pulse extraction and optimization module include: signal acquisition, filtering processing, narrow pulse detection, and signal extraction to obtain the narrow pulse target signal.

[0019] In an optional implementation of the present application, the narrowband pulse extraction and optimization module is used to extract narrowband pulses in each Ku-band signal using an LMS algorithm, and optimize the extracted narrowband pulses to obtain narrow pulse target signals.

[0020] The specific processing principle of the LMS algorithm is described below.

[0021] In the initial stage of the signal processing process, the core task is to accurately and effectively detect and extract specific narrowband pulse signals. However, in actual application scenarios, the system is usually placed in a complex environment full of strong electromagnetic interference. These electromagnetic interferences may come from a variety of sources, including but not limited to surrounding electronic equipment, radio communications, and electromagnetic phenomena in nature. These electromagnetic phenomena have caused certain difficulties in the accurate detection and extraction of narrowband pulse signals.

[0022] This application uses the least mean square error (LMS) algorithm to construct an adaptive filter and dynamically adjusts the parameters of the adaptive filter. Set the initial coefficient (weight vector) of the filter to a random vector and set the step factor The step factor is used to control the update speed of the weight vector. The larger the value, the greater the adjustment of the weight vector. However, too large a step factor may cause the algorithm to be unstable. Figure 6 As shown, a total of Elements … As input, it is processed by a linear combination, that is, weighted summation is performed to obtain the result , compared with the expected response, the error signal is obtained , and modify the weight accordingly. Figure 6It is the basic principle of LMS algorithm, expressed as: (1); In the formula, represents the number of iterations, For the The iteration The weight vector of the elements, It is in The first iteration input elements, It is The output result of the iteration; The above formula (1) is written in the form of a vector: (2); In the formula, Indicates transpose.

[0023] Next, calculate the error signal, which is the difference between the desired output and the actual output: (3); In the formula, It is The expected output of the iteration; According to the error signal And the input sample Update the filter coefficients (weight vector) , the update rule is: (4); This step is the core of the LMS algorithm. By continuously iterating and updating the weight vector, the output error is gradually reduced. The larger the step size factor, the larger the step size of the weight update, and the faster the algorithm converges. However, too large a step size may also cause the algorithm to be unstable or even divergent. If the step size factor is too small, although the algorithm is stable, the convergence speed is too slow.

[0024] The LMS algorithm is based on the stochastic gradient descent method, and its convergence depends on the choice of the step size factor and the statistical characteristics of the input signal. In some cases, the algorithm may not converge to the global optimal solution, but converge to a local optimal solution or saddle point. Although the convergence performance of the algorithm can be improved by adjusting the step size factor and introducing regularization terms, it is not guaranteed that the global optimal solution can be found in all cases. However, the following methods can be taken to improve and avoid this problem as much as possible: The present invention introduces an adaptive step-size adjustment mechanism, such as a step-size adjustment method based on the statistical characteristics of the error signal, which can dynamically adjust the step-size factor according to the change of the error signal, thereby optimizing the convergence performance of the algorithm.

[0025] Assume the error signal is , the step size factor is , the weight of the FIR filter is , the input signal is , the expected output is .

[0026] First, at each iteration step, the error signal between the current filter output and the desired output is calculated.

[0027] (5); Then, the error signal is statistically analyzed, such as calculating the mean, variance, autocorrelation function, etc. of the error signal. These statistical characteristics can reflect the changing trend and fluctuation of the error signal.

[0028] (6); In the formula, is the number of samples used when calculating the variance, is the sample number, is the variance of the error signal; According to the statistical characteristics of the error signal, an adjustment rule or function is designed to adjust the step size factor. For example, when the variance of the error signal is large, the step size factor can be increased to speed up the convergence; when the variance of the error signal is small, the step size factor can be reduced to improve stability.

[0029] (7); in, is a constant factor, is a small positive number used to avoid the situation where the denominator is zero. Formula (7) indicates that the step factor is proportional to the inverse of the variance of the error signal. When the variance of the error signal increases, the step factor decreases; when the variance of the error signal decreases, the step factor increases.

[0030] The adjusted step size factor and the current error signal are used to update the filter weights, and the above steps are repeated until the filter weights converge to a stable value or the preset number of iterations is reached.

[0031] The first DDC module is used to down-convert the narrow pulse target signal to obtain an intermediate frequency signal; The multi-channel Ku-band signals of the present application are first down-converted by the first DDC module, thereby being converted into intermediate frequency signals. This process not only reduces the frequency of the signal, but also improves the processability and stability of the signal.

[0032] The first ADC module is used to perform analog-to-digital conversion on the intermediate frequency signal to obtain a first digital signal; The second DDC module is used to down-convert the first digital signal to obtain a baseband signal; The intermediate frequency signal of the present application passes through the first ADC module and the second DDC module, and the frequency of the intermediate frequency signal is moved to the baseband to obtain the baseband signal. This process can flexibly select and process signals of different frequency bands according to different communication protocols and requirements.

[0033] The FIFO bit width conversion module is used to split the baseband signal according to a predetermined bit width and transmit it to the FIR low-pass filter; The FIR low-pass filter is used to perform low-pass filtering on the split baseband signal to obtain a filtered baseband signal; The split baseband signal is passed through a FIR low-pass filter to remove the high-frequency signal generated during the mixing process and proceed to the next step of signal processing.

[0034] The FIFO data synchronization module is used to perform clock synchronization on the filtered baseband signal to obtain multiple final baseband signals and transmit them to the PS end.

[0035] exist Figure 3 In the FIFO data synchronization module, the LMK04828 chip is used to implement the function of clock synchronization of the filtered baseband signal, and the multiple final baseband signals are transmitted to the PS end through VPX. The multiple final baseband signals finally output by the PL end are transmitted to the PS end through BRAM, AXI_DMA and other operations. BRAM (Block RAM) is a dedicated random access memory resource in FPGA, mainly used for storing data. AXI_DMA is an IP core on the PL end, which allows data to be directly transmitted at high speed between the memory of the central processor and the peripherals of the PL end without the intervention of the central processor.

[0036] The first digital signal of the present application is finally output to the PS end through the FIFO bit width conversion module, the FIR low-pass filter, and the FIFO data synchronization module. The FIFO bit width conversion module is used to split the data so that AURORA transmission can be performed; the FIR low-pass filter is used to process the difference frequency components brought about by the mixing; the FIFO data synchronization module has two functions: one is to synchronize the data. The process data collected and processed by the two RFSoC chips cannot achieve the required synchronization, and the FIFO data synchronization module is required for cross-clock synchronization processing; the second is to put all the data transmitted from the second chip AURORA in the first chip, which will make the data processing more synchronous and consistent. AURORA is an extensible lightweight link layer protocol for moving data between point-to-point serial links.

[0037] The PS end performs the final signal processing part, which detects the narrowband pulse transmitted from the PL end through interruption, performs FFT processing on it, detects the peak value of the obtained data, finds its maximum value, and performs Atan2 processing to obtain the phase information of the signal.

[0038] The PS terminal is used to detect the phases of the multiple final baseband signals to obtain phase detection results, and send the phase detection results to the host computer; PS represents a programmable logic terminal.

[0039] Wherein, the PS end adopts an ARM or DSP development board.

[0040] refer to Figure 2 , the PS end of the present application includes: a detection module, an FFT processing module and an Atan2 module; The detection module is used to detect the narrowband pulse of each channel of the multiple final baseband signals; The FFT processing module is used to perform FFT processing on each narrowband pulse detected by the detection module to obtain the phase amplitude of the narrowband pulse; The Atan2 module is used to perform Atan2 processing on the phase amplitude of the narrowband pulse to obtain the phase of each narrowband pulse, and transmit the phase of each narrowband pulse as a phase detection result to the host computer.

[0041] A host computer, used for generating a phase control instruction according to the phase detection result; Combination Figure 2 and Figure 5 , the host computer of this application is specifically used for: Display the phase detection result, and use the phase detection result to calculate the phase difference value of each path, where the phase difference value is the phase difference between the narrowband pulse and the external reference source; receiving a user operation generated by a user according to the phase difference value of each path, and generating a phase control instruction according to the user operation; The phase control instruction and the phase difference value of each path are sent to the phase shift control module.

[0042] The phase detection results output by the PS end are transmitted to the host computer through Ethernet communication, serial communication, etc. The waveforms and phase detection results of the 16-channel signals are displayed on the host computer interface.

[0043] The phase shift control module is used to adjust the phase of the Ku-band signal of the corresponding path according to the phase control instruction.

[0044] refer to Figure 5As shown, the phase shift control module includes: a signal acquisition preprocessing module, a second ADC module, a phase adjustment module, an inverse domain transformation module and a DAC module; The signal acquisition preprocessing module is used to acquire the Ku-band signal whose phase needs to be adjusted from the input multiple Ku-band signals once the phase control instruction is received; The second ADC module is used to convert the Ku-band signal that needs phase adjustment into a second digital signal; The phase adjustment module is used to rotate the phase of each frequency point of the second digital signal according to the corresponding phase difference value to obtain a phase-adjusted digital signal; The inverse domain transformation module is used to perform an inverse FFT transformation on the phase-adjusted digital signal to obtain a transformed digital signal; The DAC module is used to convert the transformed digital signal into an analog signal and feed it back to the PL terminal.

[0045] The phase shift control module can perform operations such as phase stability assessment and error correction to improve the accuracy and reliability of phase detection.

[0046] The principle of the phase shift control module is explained below.

[0047] The multi-channel phase error analysis is as follows: refer to Figure 5 For different frequencies, the relative relationship between receiving channels is different. However, due to the narrow bandwidth of the 16-channel Ku-band signal input by the system, its response at each frequency point in the band can be approximately considered to be consistent. Therefore, the response of each frequency point in the band can be considered to be replaced by the response at the center of the bandwidth: (8); In the formula, is a complex function in the frequency domain, It represents the spectrum of the narrow pulse target signal of the first channel output by the narrowband pulse extraction and optimization module. The output of the narrowband pulse extraction and optimization module is The spectrum of the narrow pulse target signal of each channel, express The amplitude spectrum of express The amplitude spectrum of , exp is a complex exponential function, yes The phase of yes The phase of Expressed as The amplitude, Expressed as The phase of , is the total number of channels.

[0048] Formula (8) represents the complex constant expression of the inverse phase error estimation between the channels of the 16-channel Ku-band signal. When the phase shift control module works normally, the complex constant is multiplied by the output of the narrowband pulse extraction and optimization module. The narrow pulse target signal of each channel can complete the The calibration of the Ku-band signal of each channel is Figure 5 There is a difference between the phase shift control module calibration in the calibration, which is the phase error analysis and calibration of the narrowband signal of 16 channels, the purpose of which is to improve the accuracy of multi-channel analysis and reduce errors. Figure 5 The phase shift control module in the system determines whether a certain signal has a large offset based on an external reference source, and then performs active phase shifting for calibration.

[0049] No. The calibration of the Ku-band signal of a channel can be expressed as: (9); In the formula, Indicates The output of the narrow pulse target signal of each channel after calibration, express Moment Narrow pulse target signal of each channel.

[0050] The phase consistency of the kth channel can be obtained by extracting narrowband pulses and optimizing the output of the kth channel. The complex constant of the narrow pulse target signal of each channel and the inverse of the phase error estimation Multiply to calibrate.

[0051] refer to Figure 5 As shown, the phase shift control module generates a point frequency signal from an external reference source and is connected to each receiving channel through a cable. The internal calibration source is provided by an external signal. The calibration signal output by the phase shift control module is fed back to the receiving channel, and the PL end preprocesses each Ku-band signal, and then performs phase detection through the PS end to obtain the detection result. During the detection process, the PS end performs fast Fourier transform FFT on the data of each channel to realize the accumulation of the calibration signal, finds the peak value of each channel, and calculates the amplitude and phase error between multiple channels, and reports or stores the amplitude and phase error of each channel for subsequent normal operation.

[0052] When the phase shift control module detects that the phase value deviation of a channel is greater than the threshold, the module will collect the signal of this channel and perform a phase shift operation. In the phase adjustment step, the phase of the signal is rotated: (10); The frequency domain representation of the second digital signal output by the second ADC module is: ,in is the frequency index, is the phase rotation angle to be adjusted. After completing the phase adjustment, the signal needs to be converted from the frequency domain back to the time domain, which is achieved through the inverse fast Fourier transform (IFFT). The inverse transformed signal is the digital signal after the phase is adjusted.

[0053] The present invention can extract and analyze narrowband signals. Unlike previous systems that can only analyze continuous signals or long pulses, the present system can analyze and detect nanosecond-level pulse signals. In addition, the detection results of the present invention are highly accurate and fast. According to the sampling rate of the FPGA, the detection accuracy can reach ±0.001°, and the processing can be completed within tens of microseconds. The present invention can perform synchronous real-time analysis on multiple Ku-band signals. Through the synchronous processing of multiple Ku-band signals, the difference and quality of the signals can be intuitively compared; the present invention can realize parallel operation, improve throughput and processing capabilities, accelerate data processing, and enhance system efficiency, real-time response, stability, and reliability. This method also gives the system higher flexibility and adaptability, so that it can effectively respond to different signal types and processing requirements in complex environments, and improve the versatility and applicability of the system. In addition, the synchronous processing of multiple signals can optimize resource utilization, reduce idle resources, and improve overall resource utilization efficiency. And the processing flow at the PL end can realize high-speed and stable data transmission across chips. The present invention introduces the LMS algorithm to detect multi-channel Ku-band signals, and introduces an adaptive step size adjustment mechanism to dynamically adjust the step size factor according to the change of the error signal, thereby optimizing the convergence performance of the algorithm, improving the problem that the algorithm cannot converge to the global optimal solution, and improving the detection effect.

[0054] It is worth noting that the terms "first" and "second" in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0055] Although the present application is described herein in conjunction with various embodiments, in the process of implementing the claimed application, those skilled in the art may understand and implement other variations of the disclosed embodiments by reviewing the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude a plurality of components or steps.

[0056] The above contents are further detailed descriptions of the present invention in combination with specific preferred embodiments, and it cannot be determined that the specific implementation of the present invention is limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, several simple deductions or substitutions can be made without departing from the concept of the present invention, which should be regarded as falling within the protection scope of the present invention.

Claims

1. A phase detection control system for an extremely narrowband Ku-band signal, characterized in that: include: The PL end is used to pre-process the input multi-channel Ku-band signals to obtain multiple final baseband signals; The PS end is used to detect the phase of the multiple final baseband signals to obtain a phase detection result, and send the phase detection result to the host computer; The host computer is used to generate a phase control instruction according to the phase detection result; The phase shift control module is used to adjust the phase of the Ku-band signal of the corresponding path according to the phase control instruction.

2. The phase detection control system for ultra-narrowband Ku-band signals according to claim 1, characterized in that: The PL end includes: a narrowband pulse extraction and optimization module, a first DDC module, a first ADC module, a second DDC module, a FIFO bit width conversion module, a FIR low-pass filter and a FIFO data synchronization module; The narrowband pulse extraction and optimization module is used to extract the narrowband pulses in each Ku-band signal and optimize the extracted narrowband pulses to obtain narrow pulse target signals; The first DDC module is used to down-convert the narrow pulse target signal to obtain an intermediate frequency signal; The first ADC module is used to perform analog-to-digital conversion on the intermediate frequency signal to obtain a first digital signal; The second DDC module is used to down-convert the first digital signal to obtain a baseband signal; The FIFO bit width conversion module is used to split the baseband signal according to a predetermined bit width and transmit it to the FIR low-pass filter; The FIR low-pass filter is used to perform low-pass filtering on the split baseband signal to obtain a filtered baseband signal; The FIFO data synchronization module is used to perform clock synchronization on the filtered baseband signal to obtain multiple final baseband signals and transmit them to the PS end.

3. The phase detection control system for the ultra-narrowband Ku-band signal according to claim 2, characterized in that: The PL end uses two RF chips to complete the processing of the narrowband pulse extraction and optimization module, the first DDC module, the first ADC module, the second DDC module, the FIFO bit width conversion module, and the FIR low-pass filter, and uses the LMK04828 chip to complete the function of the FIFO data synchronization module, and synchronizes the data clocks of the two RF chips to obtain multiple final baseband signals.

4. The phase detection control system for ultra-narrowband Ku-band signals according to claim 2, characterized in that: The narrowband pulse extraction and optimization module is used to extract the narrowband pulses in each Ku-band signal using the LMS algorithm, and optimize the extracted narrowband pulses to obtain narrow pulse target signals.

5. The phase detection and control system for ultra-narrowband Ku-band signals according to claim 1, characterized in that: The PS end includes: a detection module, an FFT processing module and an Atan2 module; The detection module is used to detect the narrowband pulse of each channel of the multiple final baseband signals; The FFT processing module is used to perform FFT processing on each narrowband pulse detected by the detection module to obtain the phase amplitude of the narrowband pulse; The Atan2 module is used to perform Atan2 processing on the phase amplitude of the narrowband pulse to obtain the phase of each narrowband pulse, and transmit the phase of each narrowband pulse as a phase detection result to the host computer.

6. The phase detection control system for ultra-narrowband Ku-band signals according to claim 1, characterized in that: The host computer is specifically used for: Display the phase detection result, and use the phase detection result to calculate the phase difference value of each path, where the phase difference value is the phase difference between the narrowband pulse and the external reference source; receiving a user operation generated by a user according to the phase difference value of each path, and generating a phase control instruction according to the user operation; The phase control instruction and the phase difference value of each path are sent to the phase shift control module.

7. The phase detection and control system for ultra-narrowband Ku-band signals according to claim 1, characterized in that: The phase shift control module includes: a signal acquisition preprocessing module, a second ADC module, a phase adjustment module, an inverse domain transformation module and a DAC module; The signal acquisition preprocessing module is used to acquire the Ku-band signal whose phase needs to be adjusted from the input multiple Ku-band signals once the phase control instruction is received; The second ADC module is used to convert the Ku-band signal that needs phase adjustment into a second digital signal; The phase adjustment module is used to rotate the phase of each frequency point of the second digital signal according to the corresponding phase difference value to obtain a phase-adjusted digital signal; The inverse domain transformation module is used to perform an inverse FFT transformation on the phase-adjusted digital signal to obtain a transformed digital signal; The DAC module is used to convert the transformed digital signal into an analog signal and feed it back to the PL terminal.

8. The phase detection and control system for ultra-narrowband Ku-band signals according to claim 1, characterized in that: The PL end adopts an FPGA development board, and the PS end adopts an ARM or DSP development board. The FPGA development board integrates 16 channels for one-to-one reception of 16 Ku-band signals.

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