Mobile communication emergency digital remote system

Abstract

The invention discloses a mobile communication emergency digital remote system, and relates to the technical field of mobile communication, the mobile communication emergency digital remote system comprises a base station, a signal feedback transmission unit, a far-end machine and a near-end machine which are in electric signal connection; and the base station is used for receiving, processing and sending signals. Through cooperative work of the far-end machine and the near-end machine, the flexibility and adaptability of the communication system are remarkably improved, the far-end machine is responsible for signal receiving and transmitting, the near-end machine is responsible for signal processing and power adjustment, and high-speed and low-delay data transmission is ensured through optical fiber connection between the far-end machine and the near-end machine; the system can be flexibly configured according to different environmental conditions and user requirements, and in addition, the system has the capability of automatically adjusting the power, the output power can be optimized in real time according to the change of the signal quality, and the stability and reliability of communication are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of mobile communications, and in particular to a mobile communication emergency digital remote system. Background Art

[0002] A digital fiber repeater is a device that uses software radio technology to transmit radio frequency over optical cables. The near-end machine receives signals from space, digitizes the radio frequency signals, and converts them into a CPRI standard interface, which is then transmitted to the far-end machine via optical fiber. The far-end machine receives data through the CPRI standard interface and regenerates and amplifies the radio frequency signals after digital-to-analog conversion, thereby achieving radio frequency coverage of base station signals. During the entire process, there is no mutual influence between digital signal transmission and optical transmission, so that the digital signal does not attenuate with the attenuation of the optical signal, offsetting the wireless signal path loss between the base station and the repeater. During long-distance and high-speed transmission, it can still maintain a high dynamic range, ensure signal quality, and maximize the use of spectrum resources and network equipment, which is equivalent to providing a two-way transparent channel between the base station and the mobile phone to extend the wireless signal.

[0003] Although digital fiber optic repeaters have the advantages of low noise coefficient and long transmission distance, there are problems of signal interference in complex environments, which affects the coverage quality. Moreover, when there is multiple remote coverage, it is easy to cause mutual interference between base stations. Therefore, how to learn and identify different types of interference sources to dynamically adjust system parameters according to environmental changes, reduce signal interference, and improve coverage quality is the problem we need to solve. To this end, a mobile communication emergency digital remote system is proposed. Summary of the invention

[0004] The present invention aims to provide a mobile communication emergency digital remote system to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A mobile communication emergency digital remote system, the mobile communication emergency digital remote system comprising a base station, a signal feedback transmission unit, a remote unit and a near-end unit, wherein the electrical signals between the constituent structures are connected;

[0007] The base station is the core part of the entire mobile communication network and is responsible for receiving, processing and sending signals;

[0008] The near-end machine is used to receive signals from space, digitize the radio frequency signals and convert them into CPRI standard interfaces, and transmit them to the far-end machine through optical fiber. The near-end machine is responsible for processing the signals sent back by the user's handheld terminal, converting them into digital signals and transmitting them through optical fiber. As the signal receiving and conversion center, the near-end machine can efficiently realize the conversion between radio frequency signals and digital signals, and transmit them over long distances through optical fiber, ensuring the quality and stability of the signals during the transmission process, supporting two-way transmission of signals, so that users can communicate with the base station;

[0009] The remote device is used to receive digital signals transmitted through optical fibers and receive data through a CPRI standard interface. After digital-to-analog conversion, the remote device regenerates and amplifies the radio frequency signal to achieve radio frequency remote coverage of the base station signal. The remote device can effectively convert the received digital signal into a radio frequency signal and, through amplification and other processing, ensure that the signal can still maintain high quality after long-distance transmission, thereby solving the network coverage problem of signal blind spots and weak areas;

[0010] The signal feedback transmission unit is used to analyze the radio frequency signal, perform digital signal processing on the signal, and identify the existing interference source, and then formulate a dynamic adjustment strategy according to the identification result to dynamically optimize the system performance.

[0011] A further improvement of the technical solution of the present invention is that: the signal feedback transmission unit includes a smart antenna module, a digital signal processing module, an interference source identification module, a CPRI protocol transmission module and a feedback adjustment module, wherein the electrical signals between the modules are connected;

[0012] The smart antenna module is used to monitor the signal status in the surrounding environment, receive RF signals in the 900M and 1.8G frequency bands from space, filter and split through the antenna and quadplexer, amplify the received RF signals using a low noise amplifier (LNA), perform down-conversion processing, and provide high-quality input signals for subsequent digital signal processing;

[0013] The digital signal processing module converts the pre-processed RF signal into a digital signal through an ADC (analog-to-digital converter), and inputs it into an FPGA (field programmable gate array) for digital signal processing to realize the digitization of the signal, and uses the powerful processing capability of the FPGA to perform filtering, demodulation, decoding and other processing to improve the signal's anti-interference ability and transmission quality;

[0014] The interference source identification module uses a machine learning algorithm to analyze signal characteristics, identify different types of interference sources, and dynamically adjust system parameters according to the identified interference source type to reduce the impact of interference on the signal and improve coverage quality;

[0015] The CPRI protocol transmission module realizes the conversion of radio frequency signals to digital signals and the reverse process, completes the information exchange of the digitally processed signals between the near-end machine and the far-end machine, realizes high-speed and reliable transmission of signals, and ensures that the signals are not affected by attenuation and interference during the transmission process;

[0016] The feedback adjustment module dynamically adjusts the system power according to the output signal quality and feedback information of the remote device, ensuring that the system can maintain the best output power and coverage quality in different environments while avoiding interference with base stations and other equipment.

[0017] A further improvement of the technical solution of the present invention is that: the proximal machine includes a proximal trolley case, a proximal lining plate is detachably installed on the top of the inner cavity of the proximal trolley case, a proximal heat sink is arranged below the proximal lining plate, the outer edge surface of the proximal heat sink is fixed to the inner edge surface of the proximal trolley case, a proximal quadrupole and a 900&1.8 uplink power amplifier are fixedly installed on the top of the proximal heat sink, the outer edge surface of the proximal quadrupole is in contact with the outer edge surface of the 900&1.8 uplink power amplifier, a proximal digital board is arranged on one side of the proximal quadrupole, the bottom surface of the proximal digital board is fixed to the top of the proximal heat sink, a proximal power supply is fixedly installed on the end of the top of the proximal heat sink away from the proximal quadrupole, and a proximal 24 to 12V power supply module is fixedly installed on the top of the proximal heat sink.

[0018] A further improvement of the technical solution of the present invention lies in that: the remote machine includes a remote trolley case, a remote lining plate is detachably installed on the top of the inner cavity of the remote trolley case, a remote heat sink is arranged below the remote lining plate, the outer edge surface of the remote heat sink is fixed to the inner edge surface of the remote trolley case, a remote quadrupole and a remote 900 downstream power amplifier are fixedly installed on the top of the remote heat sink, the outer edge surface of the remote quadrupole is in contact with the outer edge surface of the remote 900 downstream power amplifier, a remote digital board is arranged on one side of the remote quadrupole, the bottom surface of the remote digital board is fixed to the top of the remote heat sink, a remote power supply is fixedly installed at one end of the top of the remote heat sink away from the remote quadrupole, a remote 24 to 12V power supply module and a remote 1.8 downstream power amplifier are arranged between the remote 900 downstream power amplifier and the remote power supply, and the bottom surfaces of the remote 24 to 12V power supply module and the remote 1.8 downstream power amplifier are fixed to the top of the remote heat sink.

[0019] A further improvement of the technical solution of the present invention is that the smart antenna module specifically includes:

[0020] Receive RF signals in the 900MHz and 1.8GHz frequency bands from space through multiple directional or omnidirectional antennas. The antennas are designed to capture signals in a specific direction to enhance the target signal and reduce interference. The received RF signals are filtered and split through the antennas and quadplexers. The quadplexer is a multi-port device that can separate and direct signals in different frequency bands to ensure that the signals in each frequency band are correctly directed to the subsequent amplification and processing links.

[0021] After the signal is separated, a low-noise amplifier is used to amplify the received RF signal. The main function of LNA is to amplify the weak RF signal received while maintaining a low noise figure, which helps to improve the signal-to-noise ratio of the signal and provide a higher quality input signal for subsequent digital signal processing;

[0022] The amplified RF signal is sent into the mixer, mixed with the signal generated by the local oscillator, and down-converted to convert the high-frequency RF signal into a lower-frequency intermediate frequency signal. The down-conversion process helps to reduce the frequency of the signal, making it more suitable for subsequent digital signal processing, and then outputting high-quality RF signals or intermediate frequency signals to the digital signal processing module.

[0023] A further improvement of the technical solution of the present invention is that the digital signal processing module specifically includes:

[0024] Receive the RF signal or IF signal after filtering, amplification and down-conversion from the smart antenna module, and quantize the amplitude of the analog signal through a high-precision analog-to-digital converter (ADC), converting the continuous analog RF signal into a discrete digital signal;

[0025] The converted digital signal is transmitted to FPGA (field programmable gate array) through a high-speed interface (such as LVDS, JESD204B, etc.), and the discrete digital signal is stored in the memory of FPGA, and the stored digital signal is filtered, demodulated and decoded by FPGA;

[0026] The processed signal is output through the output port of the FPGA for further use or transmission for subsequent application or analysis.

[0027] A further improvement of the technical solution of the present invention is that the interference source identification module specifically includes:

[0028] Receive the preliminarily processed radio frequency or intermediate frequency signal from the smart antenna module and the digital signal processing module, and perform characteristic analysis on the signal;

[0029] Extract time domain features from the time domain waveform of the signal, preprocess the signal features to obtain feature vectors, and mark the interference source features according to the specific type of the signal and the interference characteristics, and then determine the category of the interference source, which are multipath interference, co-channel interference and external noise. The time domain features include amplitude, frequency and phase;

[0030] Based on the historical signal database, a signal sample data set containing different types of interference is extracted, and a convolutional neural network is used to establish an interference source identification model, and the model parameters are optimized to identify different types of interference sources;

[0031] Input the real-time collected signal features into the interference source identification model to identify the interference source, calculate the standardized feature value, further analyze to obtain the interference source category probability, and then output the category label of the interference source;

[0032] According to the type of interference source identified, formulate corresponding dynamic adjustment strategies. For multipath interference, use adaptive equalization technology or MIMO technology to compensate for multipath effects. For co-channel interference, adjust the frequency allocation strategy and use frequency hopping technology or frequency reuse scheme to avoid co-channel interference. For external noise, increase the signal transmission power or adjust the antenna radiation pattern to enhance the target signal strength and suppress external noise. The adjustment strategy is converted into specific system parameter settings, and the system parameters are updated in real time through the feedback mechanism.

[0033] A further improvement of the technical solution of the present invention is that the calculation formula of the interference source category probability is as follows:

[0034] ;

[0035] ;

[0036] In the formula, is the interference source category probability, is the standardized eigenvalue, It is The elements of the feature vector come from the preprocessed signal features, It is The standard value (mean) of a feature represents the ideal value of the feature without interference. It is The standard deviation of a feature reflects the fluctuation range of the feature. It is The weights corresponding to the features are determined by the trained CNN model. is a small constant that prevents the denominator from being zero. is the dimension of the feature vector, The value range is between 0 and 1.

[0037] A further improvement of the technical solution of the present invention is that: the CPRI protocol transmission module specifically includes:

[0038] On the remote side, the antenna receives the RF signal, which is converted into a digital signal by an analog-to-digital converter. The digital signal is encapsulated according to the CPRI protocol to form a standard CPRI data frame.

[0039] CPRI data frames are transmitted from the remote machine to the near-end machine through optical fiber. During the transmission process, the CPRI protocol synchronizes the clocks between the near-end machine and the remote machine through a synchronization mechanism, and provides a data verification mechanism to detect and correct errors in the transmission process;

[0040] At the near-end side, the received CPRI data frame is decapsulated and restored to a digital signal. The digital signal is converted into an analog RF signal through a digital-to-analog converter. The discrete digital signal is reconverted into a continuous RF signal through a DAC for subsequent RF processing.

[0041] The analog RF signal is processed by the RF front end including filtering, amplification and modulation to meet the transmission requirements, and then the processed RF signal is transmitted through the antenna to complete the entire signal transmission process.

[0042] A further improvement of the technical solution of the present invention is that the feedback adjustment module specifically includes:

[0043] On the remote side, the quality index of the output signal is continuously monitored, and the collected quality index data is transmitted back to the near-end machine, where the quality index data includes signal-to-noise ratio, bit error rate and signal strength;

[0044] Process and analyze the received signal quality index data at the near-end machine, obtain signal-to-noise ratio data including the current signal-to-noise ratio, the minimum acceptable value of the signal-to-noise ratio, and the maximum ideal value of the signal-to-noise ratio, obtain bit error rate data including the current bit error rate and the target bit error rate, obtain signal strength data including the current signal strength, the minimum acceptable value of the signal strength, and the maximum ideal value of the signal strength, and comprehensively calculate the performance evaluation index to evaluate the current system performance and output signal quality, and analyze the change trend of the signal;

[0045] Based on the analysis results of the signal quality index data, the near-end device decides whether to adjust the output power of the system. If the signal quality is lower than the preset signal threshold, the output power needs to be increased to improve the coverage quality. If the signal quality is too high and there is a potential risk of interference to other devices, the output power needs to be reduced.

[0046] The decision to adjust the power is made. The near-end device sends an adjustment command to the far-end device through the control link. The far-end device adjusts its transmit power according to the command. After the power adjustment, the far-end device continues to monitor the quality of the output signal and feeds back the new quality index to the near-end device until the system reaches the optimal output power and coverage quality.

[0047] The calculation formula of the performance evaluation index is as follows:

[0048] ;

[0049] In the formula, is the performance evaluation index, is the current signal-to-noise ratio, is the minimum acceptable value of the signal-to-noise ratio, is the maximum ideal value of signal-to-noise ratio, is the current bit error rate, is the target bit error rate, is the current signal strength, is the minimum acceptable value of signal strength, is the maximum ideal value of signal strength, , and are weight coefficients, corresponding to the importance of signal-to-noise ratio, bit error rate and signal strength in comprehensive performance evaluation, The value range is between 0 and 1.

[0050] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0051] 1. The present invention provides a mobile communication emergency digital remote system, which significantly improves the flexibility and adaptability of the communication system through the collaborative work of the remote machine and the near-end machine. The remote machine is responsible for receiving and transmitting signals, while the near-end machine is responsible for signal processing and power adjustment. The optical fiber connection between the two ensures high-speed, low-latency data transmission, allowing the system to be flexibly configured according to different environmental conditions and user needs. In addition, the system has the ability to automatically adjust power, which can optimize the output power in real time according to changes in signal quality, ensuring the stability and reliability of communication.

[0052] 2. The present invention provides a mobile communication emergency digital remote system, which significantly enhances signal coverage and communication quality by dynamically adjusting output power and continuously monitoring signal quality. Through the signal quality index data collected by the remote machine, the near-end machine can accurately evaluate the current communication environment and make power adjustment decisions accordingly. When the signal quality is poor, the system can automatically increase the output power to expand the signal coverage. When the signal is too strong and may cause interference, the system will automatically reduce the output power to reduce interference to other devices. The intelligent power adjustment mechanism ensures the stability and reliability of communication quality and provides users with a better communication experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0054] Figure 1 It is a schematic diagram of the appearance of the proximal end unit of the present invention;

[0055] Figure 2 It is a schematic diagram of the internal structure of the proximal machine of the present invention;

[0056] Figure 3 is a schematic diagram of the appearance of a remote device of the present invention;

[0057] Figure 4 It is a schematic diagram of the internal structure of the remote device of the present invention;

[0058] Figure 5 It is a schematic diagram of the functional modules of the system of the present invention;

[0059] Figure 6 A schematic diagram of the working process of the interference source identification module of the present invention;

[0060] Figure 7 Schematic diagram of the working process of the feedback adjustment module of the present invention.

[0061] In the figure: A1, near-end trolley case; A2, near-end lining plate; A3, near-end heat sink; A4, near-end quadruplexer; A5, near-end digital board; A6, near-end power supply; A7, 900&1.8 uplink amplifier; A8, near-end 24V to 12V power module;

[0062] B1, remote trolley case; B2, remote quadplexer; B3, remote lining plate; B4, remote heat sink; B5, remote digital board; B6, remote power supply; B7, remote 24 to 12V power module; B8, remote 900 downstream power amplifier; B9, remote 1.8 downstream power amplifier. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0064] Embodiment 1, as Figures 1 to 6 As shown, the present invention provides a mobile communication emergency digital remote system, the mobile communication emergency digital remote system includes a base station, a signal feedback transmission unit, a remote machine and a near-end machine, wherein the electrical signals between the constituent structures are connected;

[0065] The base station is the core part of the entire mobile communication network, responsible for receiving, processing and sending signals;

[0066] The near-end device is used to receive signals from space, digitize the RF signals and convert them into CPRI standard interfaces, and transmit them to the far-end device through optical fiber. The near-end device is responsible for processing the signals sent back by the user's handheld terminal, converting them into digital signals and transmitting them through optical fiber. As the signal receiving and conversion center, the near-end device can efficiently realize the conversion between RF signals and digital signals, and transmit them over long distances through optical fiber to ensure the quality and stability of the signals during transmission. It supports two-way transmission of signals, allowing users to communicate with the base station;

[0067] The remote unit is used to receive digital signals transmitted through optical fiber and receive data through the CPRI standard interface. After digital-to-analog conversion, the remote unit regenerates and amplifies the RF signal to achieve RF remote coverage of the base station signal. The remote unit can effectively convert the received digital signal into an RF signal and, through amplification and other processing, ensure that the signal can still maintain high quality after long-distance transmission, solving the network coverage problem in signal blind and weak areas;

[0068] The signal feedback transmission unit is used to analyze the radio frequency signal, perform digital signal processing on the signal, and identify the existing interference source, and then formulate a dynamic adjustment strategy according to the identification result to dynamically optimize the system performance. The signal feedback transmission unit includes a smart antenna module, a digital signal processing module, an interference source identification module, a CPRI protocol transmission module and a feedback adjustment module, wherein the electrical signals between the modules are connected;

[0069] The intelligent antenna module is used to monitor the signal status in the surrounding environment, receive RF signals in the 900M and 1.8G frequency bands from space, and filter and split them through antennas and quadplexers. A low-noise amplifier (LNA) is used to amplify the received RF signals and perform down-conversion processing to provide high-quality input signals for subsequent digital signal processing. The digital signal processing module converts the pre-processed RF signals into digital signals through ADC (analog-to-digital converter) and inputs them into FPGA (field programmable gate array) for digital signal processing to realize signal digitization. The powerful processing power of FPGA is used for filtering, demodulation, decoding and other processing to improve the signal's anti-interference ability and transmission quality, and interference source identification. The module uses machine learning algorithms to analyze signal characteristics, identify different types of interference sources, and dynamically adjust system parameters according to the identified interference source types to reduce the impact of interference on signals and improve coverage quality. The CPRI protocol transmission module realizes the conversion of RF signals to digital signals and the reverse process, completes the information exchange between the near-end and far-end signals after digital signal processing, realizes high-speed and reliable signal transmission, and ensures that the signal is not affected by attenuation and interference during transmission. The feedback adjustment module dynamically adjusts the system power according to the output signal quality and feedback information of the far-end machine to ensure that the system can maintain the best output power and coverage quality in different environments, while avoiding interference to base stations and other equipment;

[0070] Further, the proximal machine includes a proximal trolley case A1, a proximal lining plate A2 is detachably installed on the top of the inner cavity of the proximal trolley case A1, a proximal heat sink A3 is arranged below the proximal lining plate A2, the outer edge surface of the proximal heat sink A3 is fixed to the inner edge surface of the proximal trolley case A1, a proximal quadplexer A4 and a 900&1.8 uplink power amplifier A7 are fixedly installed on the top of the proximal heat sink A3, the outer edge surface of the proximal quadplexer A4 is in contact with the outer edge surface of the 900&1.8 uplink power amplifier A7, a proximal digital board A5 is arranged on one side of the proximal quadplexer A4, the bottom surface of the proximal digital board A5 is fixed to the top of the proximal heat sink A3, a proximal power supply A6 is fixedly installed at one end of the top of the proximal heat sink A3 away from the proximal quadplexer A4, and a proximal 24 to 12V power supply module A8 is fixedly installed on the top of the proximal heat sink A3;

[0071] The remote machine includes a remote suitcase B1, a remote lining plate B2 is detachably mounted on the top of the inner cavity of the remote suitcase B1, a remote heat sink B4 is arranged below the remote lining plate B2, the outer edge surface of the remote heat sink B4 is fixed to the inner edge surface of the remote suitcase B1, a remote quadplexer B2 and a remote 900 downlink power amplifier B8 are fixedly mounted on the top of the remote heat sink B4, the outer edge surface of the remote quadplexer B2 is in contact with the outer edge surface of the remote 900 downlink power amplifier B8, and one of the remote quadplexers B2 A remote digital board B5 is arranged on the side, and the bottom surface of the remote digital board B5 is fixed to the top of the remote heat sink B4. A remote power supply B6 is fixedly installed on the end of the top of the remote heat sink B4 away from the remote quadruplicater B2. A remote 24 to 12V power supply module B7 and a remote 1.8 downstream power amplifier B9 are arranged between the remote 900 downstream power amplifier B8 and the remote power supply B6. The bottom surfaces of the remote 24 to 12V power supply module B7 and the remote 1.8 downstream power amplifier B9 are fixed to the top of the remote heat sink B4.

[0072] Embodiment 2, as Figure 5 , Figure 6 As shown, based on Example 1, the present invention provides a technical solution: preferably, the smart antenna module specifically includes:

[0073] Receive RF signals in the 900MHz and 1.8GHz frequency bands from space through multiple directional or omnidirectional antennas. The antennas are designed to capture signals in a specific direction to enhance the target signal and reduce interference. The received RF signals are filtered and split through the antenna and quadplexer. The quadplexer is a multi-port device that can separate and guide signals in different frequency bands to ensure that the signals in each frequency band are correctly guided to the subsequent amplification and processing links. After the signal is separated, a low-noise amplifier is used to amplify the received RF signal. The main function of the LNA is to amplify the received weak RF signal while maintaining a low noise coefficient, which helps to improve the signal-to-noise ratio of the signal and provide a higher quality input signal for subsequent digital signal processing. The amplified RF signal is sent into the mixer and mixed with the signal generated by the local oscillator for down-conversion processing to convert the high-frequency RF signal into a lower-frequency intermediate frequency signal. The down-conversion processing helps to reduce the frequency of the signal, making it more suitable for subsequent digital signal processing, and then output a high-quality RF signal or intermediate frequency signal to the digital signal processing module;

[0074] The digital signal processing module specifically includes:

[0075] Receive the RF signal or IF signal after filtering, amplification and down-conversion from the smart antenna module, quantize the amplitude of the analog signal through a high-precision analog-to-digital converter (ADC), and convert the continuous analog RF signal into a discrete digital signal. The converted digital signal is transmitted to the FPGA (field programmable gate array) through a high-speed interface (such as LVDS, JESD204B, etc.), and the discrete digital signal is stored in the memory of the FPGA. The stored digital signal is filtered, demodulated and decoded by the FPGA, and the processed signal is output through the output port of the FPGA for further use or transmission, and for subsequent application or analysis;

[0076] The interference source identification module specifically includes:

[0077] The RF or IF signal that has been preliminarily processed is received from the smart antenna module and the digital signal processing module, and the signal is feature analyzed. The time domain features are extracted from the time domain waveform of the signal. The signal features are preprocessed to obtain feature vectors. According to the specific type of the signal and the interference characteristics, the interference source features are marked to determine the category of the interference source, which are multipath interference, co-channel interference and external noise. The time domain features include amplitude, frequency and phase. Based on the historical signal database, a signal sample data set containing different types of interference is extracted. A convolutional neural network is combined to establish an interference source identification model, and the model parameters are optimized to identify different types of interference sources. The real-time collected signal The signal characteristics are input into the interference source identification model to identify the interference source, calculate the standardized characteristic value, further analyze to obtain the interference source category probability, and then output the category label of the interference source. According to the identified interference source type, the corresponding dynamic adjustment strategy is formulated. For multipath interference, adaptive equalization technology or MIMO technology is used to compensate for the multipath effect. For co-channel interference, the frequency allocation strategy is adjusted, and frequency hopping technology or frequency reuse scheme is used to avoid co-channel interference. For external noise, the signal transmission power is increased or the antenna radiation pattern is adjusted to enhance the target signal strength and suppress external noise. The adjustment strategy is converted into specific system parameter settings, and the system parameters are updated in real time through the feedback mechanism.

[0078] Furthermore, the calculation formula of the interference source category probability is as follows:

[0079] ;

[0080] ;

[0081] In the formula, is the interference source category probability, is the standardized eigenvalue, It is The elements of the feature vector come from the preprocessed signal features, It is The standard value (mean) of a feature represents the ideal value of the feature without interference. It is The standard deviation of a feature reflects the fluctuation range of the feature. It is The weights corresponding to the features are determined by the trained CNN model. is a small constant that prevents the denominator from being zero. is the dimension of the feature vector, The value range is between 0 and 1, indicating the probability of a certain type of interference. near When , the eigenvalue is close to its ideal value, Close to 0, the value of the entire expression tends to negative infinity, and the output of the Sigmoid function is close to 0. keep away When , the eigenvalue deviates from its ideal value, As it increases, the value of the entire expression tends to positive infinity, and the output of the Sigmoid function approaches 1.

[0082] Embodiment 3, as Figure 7 As shown, based on Embodiment 1-2, the present invention provides a technical solution: preferably, the CPRI protocol transmission module specifically includes:

[0083] On the remote side, the antenna receives the RF signal, which is converted into a digital signal through an analog-to-digital converter. The digital signal is encapsulated according to the CPRI protocol to form a standard CPRI data frame. The CPRI data frame is transmitted from the remote to the near-end through optical fiber. During the transmission process, the CPRI protocol synchronizes the clocks between the near-end and remote devices through a synchronization mechanism, and provides a data verification mechanism to detect and correct errors in the transmission process. On the near-end side, the received CPRI data frame is decapsulated and restored to a digital signal. The digital signal is converted into an analog RF signal through a digital-to-analog converter. The discrete digital signal is reconverted into a continuous RF signal through a DAC for subsequent RF processing. The analog RF signal is processed by the RF front end, including filtering, amplification, and modulation, to meet the transmission requirements, and then the processed RF signal is transmitted through the antenna to complete the entire signal transmission process;

[0084] The feedback adjustment module specifically includes:

[0085] On the remote side, the quality index of the output signal is continuously monitored, and the collected quality index data is transmitted back to the near-end machine, where the quality index data includes signal-to-noise ratio, bit error rate and signal strength;

[0086] Process and analyze the received signal quality index data at the near-end machine, obtain signal-to-noise ratio data including the current signal-to-noise ratio, the minimum acceptable value of the signal-to-noise ratio, and the maximum ideal value of the signal-to-noise ratio, obtain bit error rate data including the current bit error rate and the target bit error rate, obtain signal strength data including the current signal strength, the minimum acceptable value of the signal strength, and the maximum ideal value of the signal strength, and comprehensively calculate the performance evaluation index to evaluate the current system performance and output signal quality, and analyze the change trend of the signal;

[0087] Based on the analysis results of the signal quality index data, the near-end device decides whether to adjust the output power of the system. If the signal quality is lower than the preset signal threshold, the output power needs to be increased to improve the coverage quality. If the signal quality is too high and there is a potential risk of interference to other devices, the output power needs to be reduced.

[0088] The decision to adjust the power is made. The near-end device sends an adjustment command to the far-end device through the control link. The far-end device adjusts its transmit power according to the command. After the power adjustment, the far-end device continues to monitor the quality of the output signal and feeds back the new quality index to the near-end device until the system reaches the optimal output power and coverage quality.

[0089] Furthermore, the calculation formula of the performance evaluation index is as follows:

[0090] ;

[0091] In the formula, is the performance evaluation index, is the current signal-to-noise ratio, is the minimum acceptable value of the signal-to-noise ratio, is the maximum ideal value of signal-to-noise ratio, is the current bit error rate, is the target bit error rate, is the current signal strength, is the minimum acceptable value of signal strength, is the maximum ideal value of signal strength, , and are weight coefficients, corresponding to the importance of signal-to-noise ratio, bit error rate and signal strength in comprehensive performance evaluation, The value range of is between 0 and 1, which represents the evaluation value of system performance. When the signal-to-noise ratio is close to the maximum ideal value, the bit error rate is close to the target value, and the signal strength is close to the maximum ideal value, the value of the entire expression tends to positive infinity, and the output of the Sigmoid function is close to 1. When the signal-to-noise ratio is close to the minimum acceptable value, the bit error rate is much higher than the target value, and the signal strength is close to the minimum acceptable value, the value of the entire expression tends to negative infinity, and the output of the Sigmoid function is close to 0.

[0092] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A mobile communication emergency digital remote system, characterized by: The mobile communication emergency digital remote system includes a base station, a signal feedback transmission unit, a remote unit and a near-end unit, wherein the electrical signals between the components are connected; The base station is responsible for receiving, processing and sending signals; The near-end device is used to receive signals from space, digitize the radio frequency signals and convert them into a CPRI standard interface, and transmit them to the far-end device via optical fiber; The remote device is used to receive digital signals transmitted through optical fibers and receive data through a CPRI standard interface. After digital-to-analog conversion, the remote device regenerates and amplifies the radio frequency signal to achieve radio frequency remote coverage of the base station signal. The signal feedback transmission unit is used to analyze the radio frequency signal, perform digital signal processing on the signal, and identify the existing interference source, and then formulate a dynamic adjustment strategy according to the identification result to dynamically optimize the system performance.

2. A mobile communication emergency digital remote system according to claim 1, characterized in that: The signal feedback transmission unit includes a smart antenna module, a digital signal processing module, an interference source identification module, a CPRI protocol transmission module and a feedback adjustment module, wherein the electrical signals between the modules are connected; The smart antenna module is used to monitor the signal conditions in the surrounding environment, receive RF signals in the 900M and 1.8G frequency bands from space, filter and split through the antenna and quadplexer, amplify the received RF signals using a low-noise amplifier, and perform down-conversion processing; The digital signal processing module converts the pre-processed RF signal into a digital signal through the ADC and inputs the digital signal into the FPGA for digital signal processing; The interference source identification module uses a machine learning algorithm to analyze signal characteristics, identify different types of interference sources, and dynamically adjust system parameters according to the identified interference source type; The CPRI protocol transmission module realizes the conversion of radio frequency signals to digital signals and the reverse process, and completes the information exchange between the near-end machine and the far-end machine of the digitally processed signals; The feedback adjustment module dynamically adjusts the power of the system according to the output signal quality and feedback information of the remote device.

3. A mobile communication emergency digital remote system according to claim 2, characterized in that: The proximal machine comprises a proximal trolley case (A1), a proximal lining plate (A2) is detachably mounted on the top of the inner cavity of the proximal trolley case (A1), a proximal heat sink (A3) is arranged below the proximal lining plate (A2), the outer edge surface of the proximal heat sink (A3) is fixed to the inner edge surface of the proximal trolley case (A1), a proximal quadplexer (A4) and a 900&1.8 uplink power amplifier (A7) are fixedly mounted on the top of the proximal heat sink (A3), and the proximal quadplexer (A4) The outer edge surface of the proximal quadplexer (A4) contacts the outer edge surface of the 900&1.8 uplink power amplifier (A7); a proximal digital board (A5) is provided on one side of the proximal quadplexer (A4); the bottom surface of the proximal digital board (A5) is fixed to the top of the proximal heat sink (A3); a proximal power supply (A6) is fixedly installed on the end of the top of the proximal heat sink (A3) away from the proximal quadplexer (A4); and a proximal 24V to 12V power supply module (A8) is fixedly installed on the top of the proximal heat sink (A3).

4. A mobile communication emergency digital remote system according to claim 3, characterized in that: The remote machine comprises a remote suitcase (B1), a remote lining plate (B2) is detachably mounted on the top of the inner cavity of the remote suitcase (B1), a remote heat sink (B4) is arranged below the remote lining plate (B2), the outer edge surface of the remote heat sink (B4) is fixed to the inner edge surface of the remote suitcase (B1), a remote quadplexer (B2) and a remote 900 downlink power amplifier (B8) are fixedly mounted on the top of the remote heat sink (B4), the outer edge surface of the remote quadplexer (B2) is in contact with the outer edge surface of the remote 900 downlink power amplifier (B8), and the remote quadplexer (B2) ) is provided with a remote digital board (B5) on one side, the bottom surface of the remote digital board (B5) is fixed to the top of the remote heat sink (B4), a remote power supply (B6) is fixedly installed at one end of the top of the remote heat sink (B4) away from the remote quadplexer (B2), a remote 24V to 12V power supply module (B7) and a remote 1.8V downstream power amplifier (B9) are provided between the remote 900 downstream power amplifier (B8) and the remote power supply (B6), and the bottom surfaces of the remote 24V to 12V power supply module (B7) and the remote 1.8V downstream power amplifier (B9) are fixed to the top of the remote heat sink (B4).

5. A mobile communication emergency digital remote system according to claim 4, characterized in that: The smart antenna module specifically includes: Receive RF signals in the 900MHz and 1.8GHz frequency bands from space through multiple directional or omnidirectional antennas, and filter and split the received RF signals through antennas and quadplexers; After the signal is separated, the received RF signal is amplified using a low noise amplifier; The amplified RF signal is sent into the mixer, mixed with the signal generated by the local oscillator, and down-converted to convert the high-frequency RF signal into a lower-frequency intermediate frequency signal, and then output a high-quality RF signal or intermediate frequency signal to the digital signal processing module.

6. A mobile communication emergency digital remote system according to claim 5, characterized in that: The digital signal processing module specifically includes: Receive the RF signal or IF signal after filtering, amplification and down-conversion from the smart antenna module, and quantize the amplitude of the analog signal through a high-precision analog-to-digital converter to convert the continuous analog RF signal into a discrete digital signal; The converted digital signal is transmitted to the FPGA through a high-speed interface, the discrete digital signal is stored in the FPGA memory, and the stored digital signal is filtered, demodulated and decoded by the FPGA; The processed signal is output through the output port of the FPGA for further use or transmission.

7. A mobile communication emergency digital remote system according to claim 6, characterized in that: The interference source identification module specifically includes: Receive the preliminarily processed radio frequency or intermediate frequency signal from the smart antenna module and the digital signal processing module, and perform characteristic analysis on the signal; Extract time domain features from the time domain waveform of the signal, preprocess the signal features to obtain feature vectors, and mark the interference source features according to the specific type of the signal and the interference characteristics, and then determine the category of the interference source, which are multipath interference, co-channel interference and external noise. The time domain features include amplitude, frequency and phase; Based on the historical signal database, a signal sample data set containing different types of interference is extracted, and a convolutional neural network is used to establish an interference source identification model, and the model parameters are optimized to identify different types of interference sources; Input the real-time collected signal features into the interference source identification model to identify the interference source, calculate the standardized feature value, further analyze to obtain the interference source category probability, and then output the category label of the interference source; According to the type of interference source identified, formulate corresponding dynamic adjustment strategies. For multipath interference, use adaptive equalization technology or MIMO technology to compensate for multipath effects. For co-channel interference, adjust the frequency allocation strategy and use frequency hopping technology or frequency reuse scheme to avoid co-channel interference. For external noise, increase the signal transmission power or adjust the antenna radiation pattern to enhance the target signal strength and suppress external noise. The adjustment strategy is converted into specific system parameter settings, and the system parameters are updated in real time through the feedback mechanism.

8. A mobile communication emergency digital remote system according to claim 7, characterized in that: The calculation formula of the interference source category probability is as follows: ； ； In the formula, is the interference source category probability, is the standardized eigenvalue, It is The elements of the feature vector, It is The standard value of the feature, It is The standard deviation of the feature, It is The weight corresponding to each feature, is a small constant that prevents the denominator from being zero. is the dimension of the feature vector, The value range is between 0 and 1.

9. A mobile communication emergency digital remote system according to claim 8, characterized in that: The CPRI protocol transmission module specifically includes: On the remote side, the antenna receives the RF signal, which is converted into a digital signal by an analog-to-digital converter. The digital signal is encapsulated according to the CPRI protocol to form a standard CPRI data frame. CPRI data frames are transmitted from the remote machine to the near-end machine through optical fiber. During the transmission process, the CPRI protocol synchronizes the clocks between the near-end machine and the remote machine through a synchronization mechanism, and provides a data verification mechanism to detect and correct errors in the transmission process; At the near-end side, the received CPRI data frame is decapsulated and restored to a digital signal, which is then converted into an analog RF signal via a digital-to-analog converter. The analog RF signal is processed by the RF front end including filtering, amplification and modulation to meet the transmission requirements, and then the processed RF signal is transmitted through the antenna to complete the entire signal transmission process.

10. A mobile communication emergency digital remote system according to claim 9, characterized in that: The feedback adjustment module specifically includes: On the remote side, the quality index of the output signal is continuously monitored, and the collected quality index data is transmitted back to the near-end machine, where the quality index data includes signal-to-noise ratio, bit error rate and signal strength; Process and analyze the received signal quality index data at the near-end machine, obtain signal-to-noise ratio data including the current signal-to-noise ratio, the minimum acceptable value of the signal-to-noise ratio, and the maximum ideal value of the signal-to-noise ratio, obtain bit error rate data including the current bit error rate and the target bit error rate, obtain signal strength data including the current signal strength, the minimum acceptable value of the signal strength, and the maximum ideal value of the signal strength, and comprehensively calculate the performance evaluation index to evaluate the current system performance and output signal quality, and analyze the change trend of the signal; Based on the analysis results of the signal quality indicator data, the near-end unit decides whether to adjust the output power of the system; The decision to adjust the power is made. The near-end device sends an adjustment command to the far-end device through the control link. The far-end device adjusts its transmit power according to the command. After the power adjustment, the far-end device continues to monitor the quality of the output signal and feeds back the new quality index to the near-end device until the system reaches the optimal output power and coverage quality. The calculation formula of the performance evaluation index is as follows: ； In the formula, is the performance evaluation index, is the current signal-to-noise ratio, is the minimum acceptable value of the signal-to-noise ratio, is the maximum ideal value of signal-to-noise ratio, is the current bit error rate, is the target bit error rate, is the current signal strength, is the minimum acceptable value of signal strength, is the maximum ideal value of signal strength, , and are weight coefficients, corresponding to the importance of signal-to-noise ratio, bit error rate and signal strength in comprehensive performance evaluation, The value range is between 0 and 1.

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