Novel digital wireless repeater system

Abstract

The invention discloses a novel digital wireless repeater system, relates to the technical field of mobile communication, and aims to solve the problems of resource waste, insufficient adaptability and intelligence and lack of multi-system signal processing capability in the prior art. The system comprises a donor antenna, a multiplexer, a TDD / FDD radio frequency signal processing subsystem, a multi-channel radio frequency transceiver Transsceiver subsystem, a signal characteristic judgment and time domain synchronization module and an MCU core main control module. By optimizing and amplifying specific signals, the problems of resource waste and signal path self-optimization of a traditional repeater are solved, the efficiency and the reliability of signal transmission are improved, and meanwhile, the energy consumption and the operation cost are reduced. The method does not depend on any prior information, can detect and analyze signals, and is suitable for various network environments. According to the technical scheme of the invention, the working efficiency of the wireless repeater is improved, the energy waste is reduced, the power consumption is reduced, and the coverage quality and the service capability of a wireless communication network are improved.

Description

Technical Field

[0001] The present invention relates to the field of mobile communication technology, and in particular to a novel digital wireless repeater system. Background Art

[0002] With the rapid development of wireless communication technology, the coverage requirements of mobile communication networks are constantly increasing. In scenarios with a large coverage area, the signal strength will attenuate due to factors such as distance and obstacles, resulting in a decrease in communication quality. For this reason, digital wireless repeaters, as a commonly used coverage enhancement device, play an important role in the optimization of mobile communication networks.

[0003] Traditional digital wireless repeaters mainly rely on fixed parameters or prior information (such as communication standards, frequency bands, bandwidths, etc.) to amplify signals; however, this approach has the following problems: waste of resources and high energy consumption. Traditional repeaters usually perform full-bandwidth amplification processing on signals in the entire frequency band. This approach not only fails to distinguish between valid and invalid signals, but may also amplify noise, interference signals, and non-target signals, resulting in waste of resources and increased system energy consumption.

[0004] Insufficient adaptability and intelligence. Existing repeaters usually need to rely on prior configuration when facing multi-standard, multi-band, and multi-band signals. For example, the frequency bands and standards of different operators are different, and the communication standards may change dynamically. It is difficult for repeaters to make timely adaptive adjustments, which easily leads to inaccurate amplification processing.

[0005] Lack of dynamic processing capability for multi-standard signals As the communication standard transitions from 4G LTE to 5G NR, signal standards and frequency bands become more complex, especially in scenarios where both FDD (frequency division duplex) and TDD (time division duplex) standards need to be supported. Traditional repeaters usually use independent modules to process FDD and TDD signals respectively, resulting in a significant increase in system complexity and cost.

[0006] Therefore, a new type of digital wireless repeater system is proposed. Summary of the invention

[0007] The purpose of the present invention is to solve the problems that the existing repeaters amplify the full-band signals and cannot distinguish between valid and invalid signals, resulting in waste of resources and increased energy consumption; the existing repeaters are difficult to adapt to the dynamic changes of multi-standard, multi-band, and multi-bandwidth signals, rely on prior configurations, lack adaptive adjustment capabilities, and lack the ability to dynamically process multi-standard signals. A new type of digital wireless repeater system is proposed.

[0008] In order to achieve the above object, the present invention adopts the following technical solutions:

[0009] A new type of digital wireless repeater system, including:

[0010] Receiving step: A donor antenna for receiving radio frequency signals from a base station;

[0011] Separation step: The received radio frequency signal is separated into an uplink signal and a downlink signal by a donor multiplexer, and the uplink signal and the downlink signal are respectively transmitted to a TDD radio frequency signal processing subsystem A and an FDD radio frequency signal processing subsystem A;

[0012] Processing step: Using a TDD radio frequency signal processing subsystem A and an FDD radio frequency signal processing subsystem A, the uplink signal is preliminarily amplified by a low-noise amplifier, and the uplink signal is further processed by an uplink power amplifier and output to a multi-channel radio frequency transceiver Transceiver subsystem;

[0013] Conversion step: Zero-IF conversion is performed by a multi-channel radio frequency transceiver Transceiver subsystem to generate a baseband signal, and the baseband signal is transmitted to a signal characteristic evaluation and time domain synchronization module;

[0014] Analysis step: Using a signal characteristic evaluation and time domain synchronization module, the communication system, frequency band, frequency point, and bandwidth characteristic information of the currently valid working signal are detected and analyzed in real time and adaptively, the RSSI and SINR values of the signal are calculated, and the signal quality is determined, including:

[0015] According to the formula Calculate the signal-to-noise ratio;

[0016] According to the formula Calculate the signal interference ratio;

[0017] If SINR > 15dB, the signal quality is excellent;

[0018] If 10dB < SINR ≤ 15dB, the signal quality is medium;

[0019] If SINR ≤ 10dB, the signal quality is poor;

[0020] Set signal thresholds Th_RSSI and Th_SINR, and determine that only when RSSI ≥ Th_RSSI and SINR ≥ Th_SINR can it be regarded as a valid working signal;

[0021] For 5 - 10 detections, if the number of times meeting the requirements is greater than 80%, it can be regarded as a valid working signal;

[0022] Effective signal characteristic decision: The system, frequency band, frequency point, and bandwidth characteristic information of the extracted effective working signal;

[0023] The envelope detection method based on signal energy uses a fast detection method based on the combination of "frequency band + frequency point number" to detect 4G and 5G signals;

[0024] Output step: Output the frequency band, frequency point, and bandwidth information of the extracted effective working signal to the MCU core control module, and determine the final effective working signal according to the specific operator;

[0025] Signal path self-optimization step: Based on real-time signal quality evaluation, intelligent algorithms are used to adaptively adjust signal paths, power allocation, spectrum sharing, and channel coding strategies to optimize the efficiency and reliability of signal transmission, ensuring the best selection of signal transmission paths and efficient use of system resources;

[0026] Adjustment step: using the MCU core main control module to receive the information output by the signal characteristic evaluation and time domain synchronization module, and dynamically adjust the gain and power of the TDD radio frequency signal processing subsystem A and the FDD radio frequency signal processing subsystem A according to the signal characteristic information;

[0027] Transmission step: the processed signal is transmitted to the retransmission antenna through the retransmission end multiplexer;

[0028] Transmitting step: Use the retransmitting antenna to transmit the optimized signal to the end user.

[0029] Preferably, the signal characteristic evaluation and time domain synchronization module includes the following functions:

[0030] Full-band and full-standard identification: Able to identify signal characteristics of all standards and all frequency bands;

[0031] Time domain synchronization: By analyzing the source information of the baseband signal, the time domain synchronization function is realized, thereby completing the processing of the TDD signal;

[0032] Valid signal judgment: signal characteristics of the corresponding signal: standard, frequency band, frequency point, bandwidth;

[0033] The envelope detection method based on signal energy adopts a fast detection method based on the combination of "frequency band + frequency point number". The specific method and steps of 4G are:

[0034] First, the signal is detected from the B1 frequency band. Based on the commonly used frequency point numbers 1 to N, a characteristic frequency point number is set. The frequency corresponding to the frequency point number is used as the center frequency. The signal energy of 10MHz, 15MHz, and 20MHz bandwidths is detected in turn, which are recorded as: P 10MHz , P 15MHz , P 20MHz If P 10MHz , P 15MHz , P 20MHzIf the frequency point is lower than the threshold value TH0, there is no valid signal at this frequency point. 10MHz , P 15MHz , P 20MHz If it is higher than the threshold value TH0, there is a useful signal at this frequency point:

[0035] If P 10MHz , P 15MHz , P 20MHz If there is a significant increase, the signal bandwidth corresponding to this frequency point number is 20MHz;

[0036] If P 10MHz , P 15MHz There was a significant increase in P 15MHz , P 20MHz The increase is not significant, so it can be determined that the signal bandwidth corresponding to this frequency point is 15MHz, and the energy superposition from 15MHz to 20MHz is noise;

[0037] If P 10MHz , P 15MHz , P 20MHz There is no obvious increase. It can be judged that the signal bandwidth corresponding to this frequency point number is 10MHz, and the energy superposition from 10MHz to 15MHz and 15MHz to 20MHz is noise;

[0038] Record the B1 frequency band, the effective bandwidth of the signal at this frequency point number;

[0039] Then, for other frequency point numbers in the B1 frequency band, the processing method of step 1 is adopted until the processing of N frequency point numbers in the B1 frequency band is completed;

[0040] Then, for the B3 frequency band, the processing methods of step 1 and step 2 are adopted to record the corresponding frequency band information, frequency point number information and bandwidth information;

[0041] Process B5 / B8 / B34 / B38 / B39 / B40 / B41 in sequence, using the processing methods of step 1 and step 2, and record the corresponding frequency band information, frequency point number information, and bandwidth information;

[0042] Output valid signal information: Output the format, frequency band, frequency point and bandwidth of the valid working signal to the MCU core main control module.

[0043] Preferably, the TDD radio frequency signal processing subsystem A and the FDD radio frequency signal processing subsystem A receive control instructions from the MCU core main control module, and only amplify the frequency band and bandwidth of the effective working signal, and do not amplify the full-band signal, including:

[0044] Preliminary signal amplification: Preliminary signal amplification is achieved with minimum power consumption through the low noise amplifier in the uplink and downlink RF signal processing subsystem A;

[0045] High-gain amplification: Through the instructions of the MCU core control module, the uplink power amplifier performs targeted high-gain amplification on the signal in the target frequency band;

[0046] Dynamically adjust the filter: Based on the signal characteristic information, the MCU core main control module dynamically adjusts the passband width of the filter in the uplink and downlink RF signal processing subsystem A to suppress out-of-band noise interference, and at the same time performs limit control on the power output of the target frequency signal;

[0047] Calculate the gain: Use the formula G i =G base +k·(RSSI target -RSSI i ), where G base is the reference gain, k is the adjustment coefficient, and the MCU core control module dynamically adjusts the gain setting;

[0048] Consider the gain adjustment strategy for different frequency bands: The MCU core main control module ensures that the dynamic adjustment gain in different frequency bands can achieve the best balance between signal quality and power consumption, and passes the results to the uplink and downlink RF signal processing subsystem A.

[0049] Preferably, the functions of the TDD radio frequency signal processing subsystem B and the FDD radio frequency signal processing subsystem B are similar to those of the TDD radio frequency signal processing subsystem A and the FDD radio frequency signal processing subsystem A, including:

[0050] Receive baseband signal: Receive TDD or FDD baseband signal from the multi-channel RF transceiver subsystem;

[0051] Preliminary signal amplification: Preliminary amplification of the downlink signal through a low noise amplifier;

[0052] Further processing the signal: further processing the downlink signal through a downlink power amplifier;

[0053] Amplify the effective signal: According to the instructions of the MCU core main control module, the frequency band and bandwidth of the effective working signal are amplified instead of the full-band signal.

[0054] Preferably, the multi-channel RF transceiver subsystem adopts a multi-channel RF transceiver, and these channels can process TDD and FDD signals in parallel, or all of them can be used for TDD signal processing, or all of them can be used for FDD signal processing.

[0055] Preferably, the donor-end multiplexer and the retransmitter-end multiplexer support signal processing of both TDD and FDD standards.

[0056] Preferably, the specific steps of the intelligent signal path self-optimization algorithm include:

[0057] Signal path quality assessment: Evaluate the quality of the signal path to determine the suitability of the path;

[0058] Dynamic path selection: Select the best path through probability calculation based on the evaluated path quality;

[0059] Power allocation: Dynamically adjust channel power to ensure the best balance between signal strength and interference level;

[0060] Spectrum sharing: intelligently allocate spectrum resources by calculating spectrum sharing probability;

[0061] AI-driven optimized signal processing: Through AI algorithms, the best channel coding strategy is selected to improve signal processing efficiency.

[0062] Preferably, the system does not rely on any prior information to achieve real-time, adaptive detection and analysis of signals.

[0063] Preferably, the signal characteristic evaluation module and the time domain synchronization module further include signal processing of the 5GNR signal to obtain the signal characteristics of the corresponding signal: standard, frequency band, frequency point, bandwidth;

[0064] The envelope detection method based on signal energy adopts a fast detection method based on the combination of "frequency band + frequency point number". The specific method and steps of 5G are:

[0065] First, the signal is detected from the N1 frequency band. Based on the commonly used frequency points 1 to M, a characteristic frequency point number is set. The frequency corresponding to the frequency point number is used as the center frequency. The signal energy of 50MHz and 100MHz0 bandwidth is detected in turn, which are recorded as: P 50MHz , P 100MHz If P 50MHz , P 100MHz If the frequency point is lower than the threshold value TH1, there is no valid signal at this frequency point. 50MHz , P 100MHz If it is higher than the threshold value TH1, there is a useful signal at this frequency point:

[0066] If P 50MHz , P 100MHz If there is a significant increase, the signal bandwidth corresponding to this frequency point number is 100MHz;

[0067] If P 50MHz , P 100MHzThere is no obvious increase. It can be judged that the signal bandwidth corresponding to this frequency point is 50MHz, and the energy superposition from 50MHz to 100MHz is noise.

[0068] Record the effective bandwidth of the signal at the N1 frequency band;

[0069] Then, for other frequency point numbers in the N1 frequency band, the processing method of step 1 is adopted until the processing of the M frequency point numbers in the N1 frequency band is completed;

[0070] Then, for the N5 frequency band, the processing methods of step 1 and step 2 are used to record the corresponding frequency band information, frequency point number information, and bandwidth information;

[0071] Process N8 / N28 / N41 / N77 / N78 / N79 in turn, using the processing methods of step 1 and step 2, and record the corresponding frequency band information, frequency point number information, and bandwidth information;

[0072] In combination with the specific operator, determine the final effective working signal and its signal characteristics: frequency band, frequency point, bandwidth, and number of carriers; output the signal characteristics to the MCU core control module, which controls subsequent signal processing.

[0073] Preferably, after receiving the control instruction from the MCU core main control module, the TDD RF signal processing subsystem A and the FDD RF signal processing subsystem A can dynamically adjust the gain and power according to the signal characteristic information, including dynamically adjusting the passband width of the filter to suppress out-of-band noise interference; performing limiting control on the power output of the target frequency signal; dynamically adjusting the gain setting according to the change of signal strength to adapt to different signal strengths and interference levels; adjusting the signal power output according to the change of SINR to ensure the optimal signal quality; considering the gain adjustment strategy of different frequency bands to ensure that the dynamic adjustment gain in different frequency bands can achieve the best signal quality and power consumption balance.

[0074] The present invention has the following beneficial effects:

[0075] 1. In the present invention, a signal characteristic analysis module is introduced, which does not blindly amplify the signal of the entire bandwidth, nor does it require any prior information (standard, frequency band, bandwidth, number of carriers, etc.). It can detect and analyze the characteristic information of the actual working signal standard, frequency band, frequency point, bandwidth, number of carriers, etc. in real time and adaptively. Combined with the signal characteristic information obtained by the detection, it can efficiently amplify the uplink and downlink signals for specific standards, specific frequencies, specific bandwidths, and specific numbers of carriers, thereby reducing energy waste and greatly reducing costs. The same set of circuits supports full-band, multi-standard signal processing, covering 4GLTE and 5G NR, and can also be expanded upward to 6G and derived downward to 3G and 2G. It can be expanded and derived as needed to adapt to more application scenarios.

[0076] 2. In the present invention, signal path self-optimization is introduced, so that the system can adaptively adjust the signal path, power allocation, spectrum sharing and channel coding strategy according to the real-time signal quality evaluation results. This intelligent processing method improves the efficiency and reliability of signal transmission, ensures the optimal selection of signal transmission path and efficient use of system resources. In addition, the multi-channel RF transceiver subsystem adopts a multi-channel RF transceiver, which can process TDD and FDD signals in parallel, improving the efficiency of signal processing and the overall performance of the system. At the same time, the design of the donor-end multiplexer and the retransmitter-end multiplexer enables the system to support signal processing of both TDD and FDD standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 This is a system architecture diagram of a new type of digital wireless repeater system proposed by the present invention. DETAILED DESCRIPTION

[0078] 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.

[0079] like Figure 1 As shown, a novel digital wireless repeater system proposed by the present invention comprises:

[0080] Receiving step: the donor antenna is used to receive the radio frequency signal from the base station;

[0081] Separation step: The received RF signal is separated into an uplink signal and a downlink signal by a donor multiplexer, and the uplink signal and the downlink signal are respectively transmitted to the TDD RF signal processing subsystem A and the FDD RF signal processing subsystem A;

[0082] Processing step: Using the TDD RF signal processing subsystem A and the FDD RF signal processing subsystem A, the uplink signal is preliminarily amplified by a low-noise amplifier (LNA), and the uplink signal is further processed by an uplink power amplifier and output to a multi-channel RF transceiver Transceiver subsystem;

[0083] Conversion step: Zero-IF conversion is performed through a multi-channel RF transceiver Transceiver subsystem to generate a baseband signal, and the baseband signal is transmitted to a signal characteristic evaluation and time-domain synchronization module;

[0084] Analysis step: Using the signal characteristic evaluation and time-domain synchronization module, real-time and adaptively detect and analyze the characteristic information of the current effective working signal, such as communication system, frequency band, frequency point, bandwidth, number of carriers, etc., calculate the RSSI and SINR values of the signal, and determine the signal quality, including:

[0085] According to the formula

[0086] Calculate the signal-to-noise ratio;

[0087] According to the formula

[0088] Calculate the signal-to-interference ratio;

[0089] If SINR > 15dB, the signal quality is excellent;

[0090] If 10dB < SINR ≤ 15dB, the signal quality is medium;

[0091] If SINR ≤ 10dB, the signal quality is poor;

[0092] Set signal thresholds Th_RSSI and Th_SINR, and determine that RSSI ≥ Th_RSSI and SINR ≥ Th_SINR before it is regarded as an effective working signal;

[0093] For 5 - 10 detections, if the number of times meeting the requirements is greater than 80%, it is regarded as an effective working signal;

[0094] Effective signal decision: Extract the signal characteristics of the effective working signal: system, frequency band, frequency point, bandwidth;

[0095] Based on the envelope detection method of signal energy, adopt a fast detection method based on the combination of "frequency band + frequency point number", and the specific methods and steps for 4G are:

[0096] First, the signal is detected from the B1 frequency band. Based on the commonly used frequency point numbers 1 to N, a characteristic frequency point number is set. The frequency corresponding to the frequency point number is used as the center frequency. The signal energy of 10MHz, 15MHz, and 20MHz bandwidths is detected in turn, which are recorded as: P 10MHz , P 15MHz , P 20MHz If P 10MHz , P 15MHz , P 20MHz If the frequency point is lower than the threshold value TH0, there is no valid signal at this frequency point. 10MHz , P 15MHz , P 20MHz If it is higher than the threshold value TH0, there is a useful signal at this frequency point:

[0097] If P 10MHz , P 15MHz , P 20MHz If there is a significant increase, the signal bandwidth corresponding to this frequency point number is 20MHz;

[0098] If P 10MHz , P 15MHz There was a significant increase in P 15MHz , P 20MHz The increase is not significant, so it can be determined that the signal bandwidth corresponding to this frequency point is 15MHz, and the energy superposition from 15MHz to 20MHz is noise;

[0099] If P 10MHz , P 15MHz , P 20MHz There is no obvious increase. It can be judged that the signal bandwidth corresponding to this frequency point number is 10MHz, and the energy superposition from 10MHz to 15MHz and 15MHz to 20MHz is noise;

[0100] Record the B1 frequency band, the effective bandwidth of the signal at this frequency point number;

[0101] Then, for other frequency point numbers in the B1 frequency band, the processing method of step 1 is adopted until the processing of N frequency point numbers in the B1 frequency band is completed;

[0102] Then, for the B3 frequency band, the processing methods of step 1 and step 2 are adopted to record the corresponding frequency band information, frequency point number information and bandwidth information;

[0103] Process B5 / B8 / B34 / B38 / B39 / B40 / B41 in sequence, using the processing methods of step 1 and step 2, and record the corresponding frequency band information, frequency point number information, and bandwidth information;

[0104] The envelope detection method based on signal energy adopts a fast detection method based on the combination of "frequency band + frequency point number". The specific method and steps of 5G are:

[0105] First, the signal is detected from the N1 frequency band. Based on the commonly used frequency points 1 to M, a characteristic frequency point number is set. The frequency corresponding to the frequency point number is used as the center frequency. The signal energy of 50MHz and 100MHz0 bandwidth is detected in turn, which are recorded as: P 50MHz , P 100MHz If P 50MHz , P 100MHz If the frequency point is lower than the threshold value TH1, there is no valid signal at this frequency point. 50MHz , P 100MHz If it is higher than the threshold value TH1, there is a useful signal at this frequency point:

[0106] If P 50MHz , P 100MHz If there is a significant increase, the signal bandwidth corresponding to this frequency point number is 100MHz;

[0107] If P 50MHz , P 100MHz There is no obvious increase. It can be judged that the signal bandwidth corresponding to this frequency point is 50MHz, and the energy superposition from 50MHz to 100MHz is noise.

[0108] Record the N1 frequency band, the effective bandwidth of the signal at this frequency point number.

[0109] Then, for other frequency point numbers in the N1 frequency band, the processing method of step 1 is adopted until the processing of the M frequency point numbers in the N1 frequency band is completed;

[0110] Then, for the N5 frequency band, the processing methods of step 1 and step 2 are used to record the corresponding frequency band information, frequency point number information, and bandwidth information;

[0111] Process N8 / N28 / N41 / N77 / N78 / N79 in turn, using the processing methods of step 1 and step 2, and record the corresponding frequency band information, frequency point number information, and bandwidth information;

[0112] Output step: Output the frequency band, frequency point, and bandwidth information of the valid working signal to the MCU core control module, and determine the final valid working signal according to the specific operator;

[0113] Signal path self-optimization step: Based on real-time signal quality evaluation, intelligent algorithms are used to adaptively adjust signal paths, power allocation, spectrum sharing, and channel coding strategies to optimize the efficiency and reliability of signal transmission, ensuring the best selection of signal transmission paths and efficient use of system resources;

[0114] Adjustment steps: Use the MCU core main control module to receive the information output by the signal characteristic evaluation and time domain synchronization modules, and dynamically adjust the gain and power of the TDD radio frequency signal processing subsystem A and the FDD radio frequency signal processing subsystem A according to the signal characteristic information;

[0115] Transmission step: the processed signal is transmitted to the retransmission antenna through the retransmission end multiplexer;

[0116] Transmitting step: Use the retransmitting antenna to transmit the optimized signal to the end user.

[0117] In one embodiment, signal reception and preprocessing:

[0118] In digital wireless systems, signal reception and preprocessing involves the entire process from when the signal is received at the antenna until it is ready for further processing:

[0119] Donor Antenna:

[0120] The donor antenna is the receiving end of the wireless system, responsible for receiving the signal propagated in the air. Its working principle and design goal are to improve the sensitivity and quality of the received signal.

[0121] Receiving sensitivity requirements:

[0122] The donor antenna needs to have a high receiving sensitivity to ensure that it can capture weak signals and accurately transmit them to the subsequent signal processing module. The improvement of sensitivity is usually achieved by increasing the receiving area of ​​the antenna and optimizing the gain and directivity of the antenna.

[0123] Ways to improve reception performance:

[0124] In order to improve the reception performance, array antenna technology can be used to enhance the sensitivity and directivity of signal reception through the collaborative work of multiple antennas. In addition, the use of appropriate antenna shape and material can effectively reduce the impact of signal attenuation and environmental noise and enhance the quality of the signal.

[0125] Donor-side duplexer:

[0126] The duplexer at the donor end is used to achieve frequency isolation between uplink signals and downlink signals, thereby avoiding mutual interference between the two types of signals.

[0127] Frequency Separation:

[0128] The duplexer separates the uplink signal from the downlink signal through frequency selective filtering. The uplink signal usually uses a lower frequency band, while the downlink signal uses a higher frequency band. The duplexer can effectively isolate and switch between these two frequency bands, thereby achieving two-way communication.

[0129] Isolation of uplink and downlink signals:

[0130] The filters within the duplexer can provide good isolation performance between the uplink and downlink frequencies, ensuring that the signals in each signal path do not interfere with each other, improving the signal quality and stability of the system.

[0131] Uplink and downlink radio frequency signal processing subsystem A:

[0132] Low noise amplifier (LNA): The received signal is often very weak, so it needs to be amplified by a low noise amplifier (LNA). The role of LNA is to minimize the introduction of additional noise while ensuring that the signal strength is sufficient for subsequent processing. The uplink signal is initially amplified to improve the signal's SNR (signal-to-noise ratio). The gain calculation formula of LNA is:

[0133]

[0134] Among them, MaxGain is the maximum gain of LNA, and NoiseFigure is the noise figure. By amplifying only the frequency band and bandwidth of the effective signal, noise amplification can be reduced and signal quality can be improved.

[0135] RF down-conversion module: performs RF down-conversion on the RF signal amplified by LNA and outputs an analog signal with zero intermediate frequency. By selecting the appropriate local oscillator (LO) frequency, the intermediate frequency is calculated:

[0136] f IF =|f RF -f LO |

[0137] Among them, f RF is the RF signal frequency, f LO is the frequency of the local oscillator.

[0138] Filtering: Use a bandpass filter to filter out unwanted frequency components and reduce signal interference. The filter cutoff frequency calculation formula is:

[0139]

[0140] Among them, Bandwidth is the bandwidth of the signal.

[0141] RF transceiver subsystem:

[0142] The RF transceiver subsystem is responsible for the core processing of signal modulation, demodulation, frequency conversion, etc. Through zero intermediate frequency conversion, the RF signal is converted into a baseband signal to simplify the digital processing process. The RF transceiver adopts direct frequency conversion technology to reduce system complexity and cost and improve integration.

[0143] Zero IF technology: Direct frequency conversion technology is used to reduce system complexity and cost and improve integration:

[0144]

[0145] Through a single-chip solution: integrating digital signal processing functions, including ADC, digital up-conversion, digital down-conversion, peak clipping CFR, DAC, etc., to reduce system complexity and cost.

[0146] Uplink and downlink radio frequency signal processing subsystem B:

[0147] Similar processing and amplification are performed on the downlink signal to ensure the consistency of signal processing in the uplink and downlink directions of the system, thereby improving the signal quality and the overall performance of the system.

[0148] Retransmitter duplexer:

[0149] The processed signal is transmitted to the terminal device. The functions of the retransmitter duplexer include:

[0150] Performing frequency synthesis on the processed signal;

[0151] Through filters and isolators, ensure that the retransmitted signal does not interfere with the received signal;

[0152] Provide isolation between the transmitting frequency band and the receiving frequency band to reduce signal interference.

[0153] Retransmission antenna:

[0154] The optimized signal is transmitted to the user equipment through the retransmission antenna. The retransmission antenna needs to ensure high transmission gain and low radiation noise, and usually uses a high-gain antenna to improve transmission performance.

[0155] Signal Coupler:

[0156] The RF signal is obtained from the duplexer at the donor end for signal characteristic analysis within the system. The functions of the signal coupler include:

[0157] Losslessly obtain a portion of the RF signal;

[0158] The acquired signal is passed to the signal characteristic evaluation and time domain synchronization module.

[0159] Signal characteristic evaluation and time domain synchronization module:

[0160] Through time domain synchronization, combined with the analysis function of time domain information and the communication standard detection function, it is used to optimize system performance in TDD signal processing. The specific working principle is as follows:

[0161] Analog-to-Digital Conversion (ADC): Convert the intermediate-frequency analog signal into a digital signal. Use an ADC with a high sampling rate, and the sampling frequency is 1 Gsps to obtain a time-series signal:

[0162]

[0163] where A(t) is the signal amplitude, f c is the carrier frequency, and

[0164] Normalization: Normalize the signal amplitude to the interval [0, 1] to ensure data consistency and standardization:

[0165]

[0166] where μ x(t) is the mean of the signal, and σ x(t) is the standard deviation of the signal.

[0167] Frequency-domain transformation: Convert the time-domain signal into a frequency-domain signal through the Fast Fourier Transform (FFT) to extract characteristic information such as the signal's frequency band, frequency point, and bandwidth:

[0168]

[0169] Feature dimensionality reduction: Use the Principal Component Analysis (PCA) algorithm to reduce the dimensionality of the spectral features, simplify the feature vector, and improve the efficiency of the model:

[0170] Z = X · W

[0171] where Z is the feature vector after dimensionality reduction, X is the original feature vector, and W is the PCA weight matrix.

[0172] Signal quality assessment: Evaluate the signal quality by calculating the RSSI and SINR values:

[0173] Signal-to-Noise Ratio (SNR) calculation:

[0174]

[0175] Signal-to-Interference Ratio (SINR) calculation:

[0176]

[0177] Evaluate the signal quality based on the calculated SINR value:

[0178] If SINR > 15 dB, the signal quality is excellent;

[0179] If 10 dB < SINR ≤ 15 dB, the signal quality is medium;

[0180] If SINR≤10dB, the signal quality is poor.

[0181] Valid signal judgment:

[0182] According to the set RSSI and SINR threshold values, determine whether it is a valid signal. After 5-10 detections, the number of times that meet the requirements reaches a certain proportion is considered a valid signal:

[0183] Among them, the full-band 4G LTE signal is demodulated to obtain the signal characteristics of the corresponding signal: frequency band, frequency point, bandwidth, number of carriers, RSSI, SINR;

[0184] Set the signal thresholds Th_RSSI_LTE and Th_SINR_LTE. RSSI ≥ Th_RSSI_LTE and SINR ≥ Th_SINR_LTE are considered as valid working signals. The detection of whether it is a valid signal generally needs to be performed multiple times, such as 5-10 times. It is considered as a valid working signal only when the number of times that meet the requirements is greater than 80%;

[0185] Combined with the specific operator (for example, if the application scenario is China Mobile, the effective working signal of China Mobile is recorded), the final effective working signal and its signal characteristics are determined: frequency band, frequency point, bandwidth, and number of carriers;

[0186] The signal characteristics are output to the MCU core main control module, which controls the subsequent signal processing.

[0187] The processing process of 5G NR is as follows:

[0188] Demodulate the 5G NR signals in the full frequency band to obtain the signal characteristics of the corresponding signals: frequency band, frequency point, bandwidth, number of carriers, RSSI, and SINR;

[0189] Set the signal thresholds Th_RSSI_NR and Th_SINR_NR. RSSI ≥ Th_RSSI_NR and SINR ≥ Th_SINR_NR are considered as valid working signals. The detection of whether it is a valid signal generally needs to be performed multiple times, such as 5-10 times. It is considered as a valid working signal only when the number of times that meet the requirements is greater than 80%;

[0190] Combined with the specific operator (for example, if the application scenario is China Mobile, the effective working signal of China Mobile is recorded), the final effective working signal and its signal characteristics are determined: frequency band, frequency point, bandwidth, number of carriers, and the signal characteristics are output to the MCU core control module, which controls the subsequent signal processing.

[0191] Valid signal = (RSSI ≥ ThRSSI) ∧ (SINR ≥ ThSINR)

[0192] Among them, ThRSSI and ThSINR are set threshold values.

[0193] Result output: The characteristic information of the valid working signal is passed to the MCU core main control module.

[0194] In one embodiment, Intelligent Signal Path Self Optimization (ISPSO):

[0195] In order to improve the transmission efficiency and reliability of the communication system, the signal path quality is monitored and analyzed in real time, and the signal path selection and power allocation are dynamically adjusted to achieve the best signal quality and system performance in a multi-path signal transmission environment.

[0196] Signal path quality assessment:

[0197] Signal path quality assessment is one of the core steps in the ISPSO algorithm. Its goal is to evaluate the signal path based on the real-time received signal quality indicators (such as RSSI, SINR, delay, etc.) and select the optimal signal transmission path. The assessment is performed in the following ways:

[0198] Received Signal Strength (RSSI): Measures the received signal strength, indicating the quality of signal reception. The higher the RSSI, the better the signal quality and the better the path.

[0199]

[0200] Among them, P r is the power of the received signal, P ref is the reference power.

[0201] Signal-to-noise ratio (SINR): used to evaluate the signal quality of the channel. A higher SINR value means better signal quality.

[0202]

[0203] Among them, S is the signal power, I is the interference power, and N is the noise power.

[0204] Latency: refers to the time delay from the signal being sent to the receiving end. Paths with lower latency are more suitable for real-time communication.

[0205]

[0206] Among them, T receive and T transmit They represent the timestamps of receiving and sending respectively, and N is the number of packets.

[0207] These quality indicators are used in combination to score each signal path and select the most appropriate path for data transmission.

[0208] Dynamic path selection:

[0209] Based on the quality evaluation results of the signal path, the ISPSO algorithm dynamically selects the transmission path. Through real-time calculation, the optimal path is selected for signal transmission to avoid signal transmission on paths with large interference. Factors considered in path selection include signal strength, signal-to-noise ratio, and delay. The specific process is as follows:

[0210] Path sorting: Sort all signal paths according to signal quality indicators (such as RSSI, SINR) and select high-quality paths for data transmission.

[0211] Optimal path selection: Select the path with the highest signal quality among the sorted signal paths. If the quality of the current path decreases, the system automatically switches to a path with better quality.

[0212] Path switching strategy: If the currently selected signal path is interfered with or the quality is not up to standard, the system will automatically switch to the next path with better quality. This switching process is automatic and instant, ensuring that the system always maintains efficient signal transmission in a changing network environment.

[0213] Power distribution optimization:

[0214] Based on the signal path selection, the ISPSO algorithm further optimizes the power allocation for each signal path. The goal of power allocation is to ensure that the transmission quality of each signal path is maximized and the interference within the system is reduced. Power optimization considers the following aspects:

[0215] Signal quality and priority: Determine the power allocation strategy based on the signal quality (such as RSSI and SINR values) and the priority of the path. High-quality paths and high-priority channels should be allocated more power, while low-quality paths and low-priority channels should be allocated less power.

[0216] Power allocation calculation formula: For each path, power is dynamically allocated according to its quality evaluation result using the following formula:

[0217]

[0218] Among them, P i is the power allocated to channel i, P total is the total power, w i is the weight of channel i, and N is the total number of signal paths. iDetermined by the signal quality (such as RSSI, SINR), high-quality paths have larger weights and receive more power allocation.

[0219] Dynamic power adjustment: As the network environment changes, signal quality and path priority will also change, so power allocation needs to be adjusted dynamically in real time. When the quality of a path decreases, its allocated power is reduced accordingly and allocated to a path with better quality.

[0220] Power budget optimization: According to the quality and priority of the channel, the power of each channel is reasonably allocated to ensure the load balance and resource optimization of the overall system. For example, more power is allocated to channels with important applications to ensure the stability of key communication tasks.

[0221] Spectrum resource sharing optimization

[0222] In the case of multiple signal paths, spectrum resources may conflict, affecting signal quality and transmission efficiency. Therefore, the ISPSO algorithm also needs to optimize the sharing of spectrum resources to avoid spectrum conflicts between signal paths. Spectrum resource sharing optimization mainly includes the following steps:

[0223] Spectrum conflict detection: Through spectrum monitoring, possible spectrum conflicts between different signal paths can be identified to avoid interference from signals of the same frequency.

[0224] Spectrum allocation optimization: Dynamically adjust the spectrum allocation of each signal path based on channel usage to avoid interference between multiple paths and optimize spectrum usage efficiency.

[0225] Spectrum soaring probability formula: Among them, SINR avg is the average SINR of the current frequency band, SINR threshold is the threshold of spectrum sharing, and λ is the adjustment coefficient.

[0226] Specific implementation:

[0227] Calculate the average SINR of the current frequency band.

[0228] If the average SINR is greater than the set threshold SINR threshold , then by calculating S share To decide whether to share spectrum resources.

[0229] If S share If it is greater than a certain value, multiple users are allowed to share the spectrum resources; otherwise, the spectrum resources are exclusively occupied by a single user.

[0230] AI-driven optimized signal processing

[0231] pass Select different channel coding strategies C and calculate the signal quality under each strategy (based on SNR and SINR calculation).

[0232] Use optimization algorithms (such as gradient descent or other machine learning methods) to find the best encoding method to maximize the transmission efficiency of the signal.

[0233] In one embodiment, the MCU core main control module:

[0234] The MCU core control module performs the following key calculations and processing based on the signal characteristics evaluation and the information provided by the time domain synchronization module:

[0235] Signal processing parameter calculation: According to the frequency band and bandwidth of the signal, calculate the frequency band range of the signal to be processed:

[0236] ProcessedBandwidth=MaxBandwidth×NumberOfCarriers

[0237] Among them, MaxBandwidth is the maximum bandwidth of a single carrier, and numberOfCarriers is the number of carriers.

[0238] Determine the latency requirements for signal processing:

[0239]

[0240] Among them, f s is the sampling frequency and NumberOfSamples is the number of samples that need to be processed.

[0241] Dynamic adjustment and power optimization:

[0242] Channel classification: Channels are classified into high-quality, medium-quality, and low-quality channels based on signal quality (such as RSSI and SINR values):

[0243] High-quality channel: RSSI>-70dBm, SINR>20dB;

[0244] Medium quality channel: -90dBm <RSSI≤-70dBm,5dB<SINR≤20dB;

[0245] Low-quality channel: RSSI ≤ -90dBm, SINR ≤ 5dB.

[0246] Dynamic gain adjustment: Calculate the best gain adjustment reference value based on the target RSSI and SINR values ​​to optimize signal quality:

[0247] G i =G base +k·(RSSI target-RSSI i )

[0248] Among them, G base is the reference gain and k is the adjustment factor.

[0249] Power budget division: Power is divided by signal quality and priority:

[0250] High priority channel: $50%$ power is allocated;

[0251] Medium priority channel: $30%$ power is allocated;

[0252] Low priority channel: allocated $20%$ power.

[0253] Dynamic allocation formula: Dynamically adjust power allocation based on signal quality and priority:

[0254]

[0255] Among them, P i is the power allocated to channel i, P total is the total power, w i is the weight of channel i. The MCU can adjust the power allocation in real time according to the changes in the system to ensure the optimized performance of the network under different load conditions.

[0256] The MCU core control module is not only responsible for signal processing, but also needs to manage and optimize different working modes (TDD and FDD) to ensure that the communication system can operate efficiently in different network environments. The specific processing flow includes the following parts:

[0257] TDD signal processing:

[0258] The TDD (Time Division Duplex) system ensures the correct switching of uplink and downlink signals through a time synchronization algorithm. Specifically, the MCU core control module uses time synchronization technology and working mode switching logic for scheduling according to the real-time environment and signal quality. The working mode switching logic is dynamically adjusted by the MCU based on real-time feedback from the signal to ensure that the uplink and downlink data streams can be accurately switched under different loads and network conditions:

[0259] Synchronization signal block (SSB) detection: The MCU detects the synchronization signal block (SSB) to determine the frame start time and ensure correct switching of uplink and downlink signals.

[0260] Dynamic switching: The MCU dynamically adjusts the TDD operating mode according to the signal environment and load conditions to optimize the transmission efficiency of the data stream.

[0261] FDD signal processing:

[0262] The FDD (frequency division duplex) system manages the spectrum allocation of uplink and downlink signals through frequency allocation strategies. The MCU core control module is responsible for real-time monitoring of frequency usage and adjusting spectrum allocation according to system requirements to ensure signal quality and overall system performance:

[0263] Spectrum allocation adjustment: The MCU dynamically adjusts the frequency allocation of uplink and downlink signals based on real-time monitoring data to reduce interference between frequency bands.

[0264] Optimizing signal quality: The MCU ensures that the spectrum for uplink and downlink data streams is optimally allocated through precise frequency scheduling, avoiding frequency band conflicts and improving system throughput.

[0265] Signal Processing Control:

[0266] Based on the calculated parameters, instructions are sent to each RF signal processing subsystem to ensure that they only process the frequency band and bandwidth of the valid signal.

[0267] In one embodiment, the signal processing control and configuration:

[0268] The MCU core control module is responsible for configuring and controlling each component in the system to ensure that the signal can be transmitted smoothly and achieve the expected effect. It includes the following aspects:

[0269] RF transceiver configuration:

[0270] The MCU first needs to set the operating frequency and gain of the RF transceiver to ensure that the signal operates in the appropriate frequency band and avoids interference:

[0271] Frequency selection: According to the signal requirements, the MCU adjusts the frequency of the transceiver to adapt it to different communication standards and frequency band requirements.

[0272] Gain control: Based on the current signal strength (RSSI) and quality (SINR), the MCU adjusts the gain of the RF transceiver to ensure that the signal strength is appropriate.

[0273] Power Control:

[0274] Power control is the key to ensure signal quality and energy efficiency. The MCU dynamically adjusts the transmit power based on the signal quality:

[0275] Dynamic power adjustment: If the signal quality is poor, the MCU will increase the transmit power; if the signal quality is good, the MCU will reduce the power to save energy and reduce interference.

[0276] Power allocation: According to the priority of different channels, the MCU allocates the total power to each channel reasonably. Channels with high priority will be allocated more power, while channels with low priority will be allocated less power.

[0277] Frequency band and signal threshold settings:

[0278] The MCU also needs to set the frequency band and threshold of the signal:

[0279] Frequency band selection: According to the communication standard and network environment, the MCU selects the appropriate frequency band to ensure that the signal is transmitted within the correct frequency range.

[0280] Signal threshold: The MCU sets the minimum signal quality requirement. Signals below this threshold will not be processed, ensuring that the system always maintains good signal quality.

[0281] Configuration instructions and adjustments:

[0282] The MCU sets and adjusts the system's parameters by sending configuration instructions. At the same time, the MCU will adjust the configuration based on real-time feedback to ensure that the system can maintain the best state in different environments.

[0283] In a specific implementation scenario: a central business district in a city, due to the high-rise buildings and dense crowds, the mobile communication signals are often interfered and attenuated, affecting the communication quality. In order to improve the coverage quality and service capabilities of the wireless communication network in this area, it is decided to deploy the digital wireless repeater system of the present invention.

[0284] System deployment:

[0285] Donor Antenna Installation: Donor antennas are installed at central locations in business areas, which are capable of receiving RF signals from base stations.

[0286] Multiplexer and signal processing subsystem installation: The donor-side multiplexer, as well as TDD / FDD RF signal processing subsystem A and subsystem B are installed in a nearby machine room. These devices are responsible for processing the signals received from the donor antenna.

[0287] Multi-channel RF transceiver installation: A multi-channel RF transceiver subsystem is installed in the same equipment room to perform zero intermediate frequency conversion and baseband signal processing.

[0288] Signal characteristic evaluation and time domain synchronization: Install signal characteristic evaluation and time domain synchronization modules, which can detect and analyze the characteristic information of working signals in real time and adaptively.

[0289] MCU core control module: Install the MCU core control module to receive the output information of the signal characteristic evaluation and time domain synchronization modules, and dynamically adjust the signal processing strategy.

[0290] Retransmitter multiplexer and retransmitter antenna installation: Install retransmitter multiplexer in the equipment room and retransmitter antennas at several key locations in the business district to transmit the optimized signals to end users.

[0291] System working:

[0292] Signal reception and separation: The donor antenna receives the RF signal from the base station and separates the signal into uplink and downlink signals through the donor-side multiplexer.

[0293] Signal processing: The TDD / FDD RF signal processing subsystem performs preliminary amplification on the uplink signal, further processes the signal through the uplink power amplifier, and then outputs it to the multi-channel RF transceiver subsystem.

[0294] Signal conversion and analysis: The multi-channel RF transceiver subsystem performs zero intermediate frequency conversion to generate baseband signals, and passes the baseband signals to the signal characteristic evaluation and time domain synchronization module for real-time analysis.

[0295] Signal quality assessment: The signal characteristic evaluation and time domain synchronization module calculates the RSSI and SINR values ​​of the signal, determines the signal quality, and determines the effective working signal based on the set threshold.

[0296] Signal path self-optimization: The MCU core main control module uses intelligent algorithms to adaptively adjust signal paths, power allocation, spectrum sharing and channel coding strategies based on real-time signal quality evaluation.

[0297] Signal transmission and transmission: The retransmission end multiplexer transmits the processed signal to the retransmission antenna, and the retransmission antenna transmits the optimized processed signal to the end user.

[0298] 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. A new type of digital wireless repeater system, characterized in that: Including: Receiving step: A donor antenna for receiving radio frequency signals from a base station; Separating step: Separating the received radio frequency signal into an uplink signal and a downlink signal through a donor multiplexer, and respectively transmitting the uplink signal and the downlink signal to a TDD radio frequency signal processing subsystem A and an FDD radio frequency signal processing subsystem A; Processing step: Using the TDD radio frequency signal processing subsystem A and the FDD radio frequency signal processing subsystem A, preliminarily amplifying the uplink signal through a low-noise amplifier and further processing the uplink signal through an uplink power amplifier, and outputting it to a multi-channel radio frequency transceiver Transceiver subsystem; Converting step: Performing zero-IF conversion through the multi-channel radio frequency transceiver Transceiver subsystem to generate a baseband signal, and transmitting the baseband signal to a signal characteristic evaluation and time domain synchronization module; Analyzing step: Using the signal characteristic evaluation and time domain synchronization module to detect and analyze in real time and adaptively the communication system, frequency band, frequency point, and bandwidth characteristic information of the currently valid working signal, calculating the RSSI and SINR values of the signal, and determining the signal quality, including: According to the formula Calculate the signal-to-noise ratio; According to the formula Calculate the signal-to-interference ratio; If SINR > 15dB, the signal quality is excellent; If 10dB < SINR ≤ 15dB, the signal quality is medium; If SINR ≤ 10dB, the signal quality is poor; Setting signal thresholds Th_RSSI and Th_SINR, and determining that only when RSSI ≥ Th_RSSI and SINR ≥ Th_SINR is it regarded as a valid working signal; For 5 - 10 detections, only when the number of times meeting the requirements is greater than 80% is it regarded as a valid working signal; Effective signal characteristic determination: Extracting the system, frequency band, frequency point, and bandwidth characteristic information of the effective working signal; An envelope detection method based on signal energy, adopting a fast detection method based on the combination of "frequency band + frequency point number" to detect 4G and 5G signals; Output step: Outputting the frequency band, frequency point, and bandwidth information of the extracted effective working signal to the MCU core main control module, and determining the finally effective working signal according to the specific operator; Signal path self-optimization step: Based on real-time signal quality evaluation, adopting an intelligent algorithm to adaptively adjust signal path, power distribution, spectrum sharing, and channel coding strategies to optimize the efficiency and reliability of signal transmission, ensuring the best selection of the signal transmission path and the efficient utilization of system resources; Adjusting step: Using the MCU core main control module to receive the information output by the signal characteristic evaluation and time domain synchronization module, and dynamically adjusting the gains and powers of the TDD radio frequency signal processing subsystem A and the FDD radio frequency signal processing subsystem A according to the signal characteristic information; Transmitting step: Transmitting the processed signal to a retransmission antenna through a retransmission end multiplexer; Transmitting step: Using the retransmission antenna to transmit the optimized processed signal to the end user.

2. According to the novel digital wireless repeater system of claim 1, it is characterized in that: The signal characteristic evaluation and time domain synchronization module includes the following functions: Full-frequency band and full-system identification: Being able to identify the signal characteristics of all systems and all frequency bands; Time domain synchronization: Realizing the time domain synchronization function by analyzing the source information of the baseband signal, thereby completing the processing of TDD signals; Valid signal judgment: signal characteristics of the corresponding signal: standard, frequency band, frequency point, bandwidth; The envelope detection method based on signal energy adopts a fast detection method based on the combination of "frequency band + frequency point number". The specific method and steps of 4G are:

1. First, detect the signal from the B1 frequency band. Based on the commonly used frequency points 1 to N, set the characteristic frequency point number, take the frequency corresponding to the frequency point number as the center frequency, and detect the signal energy of 10MHz, 15MHz, and 20MHz bandwidths in turn, which are recorded as: P 10MHz , P 15MHz , P 20MHz If P 10MHz , P 15MHz , P 20MHz If the frequency point is lower than the threshold value TH0, there is no valid signal at this frequency point. 10MHz , P 15MHz , P 20MHz If it is higher than the threshold value TH0, there is a useful signal at this frequency point: (1) If P 10MHz , P 15MHz , P 20MHz If there is a significant increase, the signal bandwidth corresponding to this frequency point number is 20MHz; (2) If P 10MHz , P 15MHz There was a significant increase in P 15MHz , P 20MHz The increase is not significant, so it can be determined that the signal bandwidth corresponding to this frequency point is 15MHz, and the energy superposition from 15MHz to 20MHz is noise; (3) If P 10MHz , P 15MHz , P 20MHz There is no obvious increase. It can be judged that the signal bandwidth corresponding to this frequency point number is 10MHz, and the energy superposition from 10MHz to 15MHz and 15MHz to 20MHz is noise; (4) Record the effective bandwidth of the signal at the B1 frequency band; 2. For other frequency point numbers in the B1 frequency band, the processing method in step 1 is adopted until the processing of N frequency point numbers in the B1 frequency band is completed; 3. For the B3 frequency band, use the processing methods of step 1 and step 2 to record the corresponding frequency band information, frequency point number information and bandwidth information; 4. Process B5 / B8 / B34 / B38 / B39 / B40 / B41 in sequence, using the processing methods of step 1 and step 2, and record the corresponding frequency band information, frequency point number information, and bandwidth information; Output valid signal information: Output the format, frequency band, frequency point and bandwidth of the valid working signal to the MCU core main control module.

3. According to the novel digital wireless repeater system of claim 1, it is characterized in that: The TDD radio frequency signal processing subsystem A and the FDD radio frequency signal processing subsystem A receive control instructions from the MCU core main control module, and only amplify the frequency band and bandwidth of the effective working signal, and do not amplify the full-band signal, including: Preliminary signal amplification: Preliminary signal amplification is achieved with minimum power consumption through the low noise amplifier in the uplink and downlink RF signal processing subsystem A; High-gain amplification: Through the instructions of the MCU core control module, the uplink power amplifier performs targeted high-gain amplification on the signal in the target frequency band; Dynamically adjust the filter: Based on the signal characteristic information, the MCU core main control module dynamically adjusts the passband width of the filter in the uplink and downlink RF signal processing subsystem A to suppress out-of-band noise interference, and at the same time performs limit control on the power output of the target frequency signal; Calculate the gain: Use the formula G i =G base +k·(RSSI target -RSSI i ), where G base is the reference gain, k is the adjustment coefficient, and the MCU core control module dynamically adjusts the gain setting; Consider the gain adjustment strategy for different frequency bands: The MCU core main control module ensures that the dynamic adjustment gain in different frequency bands can achieve the best balance between signal quality and power consumption, and passes the results to the uplink and downlink RF signal processing subsystem A.

4. A new type of digital wireless repeater system according to claim 1, characterized in that: The functions of the TDD radio frequency signal processing subsystem B and the FDD radio frequency signal processing subsystem B are similar to those of the TDD radio frequency signal processing subsystem A and the FDD radio frequency signal processing subsystem A, including: Receive baseband signal: Receive TDD or FDD baseband signal from the multi-channel RF transceiver subsystem; Preliminary signal amplification: Preliminary amplification of the downlink signal through a low noise amplifier; Further processing the signal: further processing the downlink signal through a downlink power amplifier; Amplify the effective signal: According to the instructions of the MCU core main control module, the frequency band and bandwidth of the effective working signal are amplified instead of the full-band signal.

5. According to the novel digital wireless repeater system of claim 1, it is characterized in that: The multi-channel RF transceiver subsystem adopts a multi-channel RF transceiver. These channels can process TDD and FDD signals in parallel, or all of them can be used for TDD signal processing, or all of them can be used for FDD signal processing.

6. A new type of digital wireless repeater system according to claim 1, characterized in that: The donor-end multiplexer and the retransmitter-end multiplexer support signal processing of both TDD and FDD standards.

7. A novel digital wireless repeater system according to claim 1, characterized in that: The specific steps of the intelligent signal path self-optimization algorithm include: Signal path quality assessment: Evaluate the quality of the signal path to determine the suitability of the path; Dynamic path selection: Select the best path through probability calculation based on the evaluated path quality; Power allocation: Dynamically adjust channel power to ensure the best balance between signal strength and interference level; Spectrum sharing: intelligently allocate spectrum resources by calculating spectrum sharing probability; AI-driven optimized signal processing: Through AI algorithms, the best channel coding strategy is selected to improve signal processing efficiency.

8. A new type of digital wireless repeater system according to claim 1, characterized in that: The system does not rely on any prior information to achieve real-time, adaptive detection and analysis of signals.

9. A novel digital wireless repeater system according to claim 1, characterized in that: The signal characteristic evaluation module and the time domain synchronization module further include signal processing of the 5GNR signal to obtain the signal characteristics of the corresponding signal: standard, frequency band, frequency point, and bandwidth; The envelope detection method based on signal energy adopts a fast detection method based on the combination of "frequency band + frequency point number". The specific method and steps of 5G are:

1. First, detect the signal from the N1 frequency band. Based on the commonly used frequency points 1 to M, set the characteristic frequency point number, take the frequency corresponding to the frequency point number as the center frequency, and detect the signal energy of 50MHz and 100MHz0 bandwidth in turn, which are recorded as: P 50MHz , P 100MHz If P 50MHz , P 100MHz If the frequency point is lower than the threshold value TH1, there is no valid signal at this frequency point. 50MHz , P 100MHz If it is higher than the threshold value TH1, there is a useful signal at this frequency point: (1) If P 50MHz , P 100MHz If there is a significant increase, the signal bandwidth corresponding to this frequency point number is 100MHz; (2) If P 50MHz , P 100MHz There is no obvious increase. It can be judged that the signal bandwidth corresponding to this frequency point is 50MHz, and the energy superposition from 50MHz to 100MHz is noise. (3) Record the effective bandwidth of the signal at the N1 frequency band; 2. For other frequency point numbers in the N1 frequency band, the processing method in step 1 is adopted until the processing of the M frequency point numbers in the N1 frequency band is completed; 3. For the N5 frequency band, use the processing methods of steps 1 and 2 to record the corresponding frequency band information, frequency point number information, and bandwidth information; 4. Process N8 / N28 / N41 / N77 / N78 / N79 in turn, using the processing methods of step 1 and step 2, and record the corresponding frequency band information, frequency point number information, and bandwidth information; In combination with the specific operator, determine the final effective working signal and its signal characteristics: frequency band, frequency point, bandwidth, and number of carriers; output the signal characteristics to the MCU core control module, which controls subsequent signal processing.

10. A novel digital wireless repeater system according to claim 1, characterized in that: After receiving the control instruction from the MCU core main control module, the TDD RF signal processing subsystem A and the FDD RF signal processing subsystem A can dynamically adjust the gain and power according to the signal characteristic information, including dynamically adjusting the passband width of the filter to suppress out-of-band noise interference; performing limiting control on the power output of the target frequency signal; dynamically adjusting the gain setting according to the change of signal strength to adapt to different signal strengths and interference levels; adjusting the signal power output according to the change of SINR to ensure the optimal signal quality; considering the gain adjustment strategy of different frequency bands to ensure that the dynamic adjustment gain in different frequency bands can achieve the best signal quality and power consumption balance.

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