High-efficiency short-wave and radio-frequency broadband converged communication digital signal processing system

Abstract

The invention discloses an efficient short-wave and radio-frequency broadband converged communication digital signal processing system, belongs to the technical field of communication, and aims to solve the problem that defects exist when existing short-wave and radio-frequency broadband are used independently and in a converged mode. The frequency and bandwidth resource combination optimization system adopts a genetic algorithm to optimize frequency and bandwidth resource combination, and comprises a parameter setting module, a signal monitoring and data collection module, a fitness evaluation module, a genetic algorithm operation module, a termination judgment module and a signal processing and communication module. The method can better adapt to ionosphere changes, reduce signal fading and interruption, effectively cope with external interference and reduce the bit error rate through monitoring signal characteristics and reasonably allocating resources, carries out frequency and bandwidth resource combination optimization by comprehensively considering various factors by applying a genetic algorithm, avoids the problems of short-wave frequency band congestion and insufficient utilization of radio frequency broadband bandwidth, and improves the utilization rate of the radio frequency bandwidth. The fusion of two communication resources is realized, and the overall efficiency of the system is improved.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system. Background Art

[0002] In the field of modern communications, with the explosive growth of data volume and the increasing requirements for communication quality, shortwave communication and radio frequency broadband communication play an important role. However, the existing technology has many shortcomings when using these two communication methods alone, and faces many challenges in long-distance, large-scale, high-information capacity private network communications, such as military and police confidential communications, and communications in remote areas.

[0003] The propagation of shortwave signals is greatly affected by the ionosphere. The changes in the ionosphere are uncertain, resulting in frequent fluctuations in signal strength. The electron density of the ionosphere is different during the day and at night, which makes the propagation characteristics of shortwave signals of the same frequency significantly different at different times. Traditional shortwave communication systems find it difficult to track ionosphere changes in real time and adjust parameters in a timely manner. Signal fading or even interruption often occurs, seriously affecting the stability of communication; RF broadband communication operates in a higher frequency band. Although it has a larger bandwidth, it is susceptible to external interference, such as electromagnetic interference generated by other wireless communication devices and electronic devices in the same frequency band. Traditional RF broadband communication systems have a single means of interference detection and avoidance. Once interfered with, the signal quality drops rapidly and the bit error rate increases significantly, seriously affecting the reliability of communication. For dynamically changing interference sources, there is a lack of adaptive adjustment capabilities. When the interference environment changes, the system cannot adjust the working parameters, such as frequency, power, etc., in time to cope with the interference, resulting in communication interruption or serious performance damage.

[0004] The existing converged communication system lacks an effective resource integration strategy. When integrating shortwave and RF broadband resources, it is unable to comprehensively consider multiple factors, such as signal quality, network load, business needs, etc., to achieve optimal resource allocation, resulting in the two communication resources being unable to fully exert their complementary advantages and limited improvement in overall communication performance. Summary of the invention

[0005] The purpose of the present invention is to provide an efficient shortwave and radio frequency broadband fusion communication digital signal processing system, which solves the problem that the existing shortwave and radio frequency broadband in the background technology are insufficient when used separately or fused.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an efficient shortwave and radio frequency broadband fusion communication digital signal processing system, which uses a genetic algorithm to optimize the combination of frequency and bandwidth resources, including: a parameter setting module, a signal monitoring and data collection module, a fitness evaluation module, a genetic algorithm operation module, a termination judgment module and a signal processing and communication module.

[0007] Furthermore, the parameter setting module is used to determine the genetic algorithm parameters and fitness weight coefficients, configure the initial parameters of the equipment, and establish the initial population, encode the resource combination scheme into chromosomes, and the parameter setting module determines the population size as N and the maximum number of iterations as T. max , the crossover probability is P c , the mutation probability is P m , the frequency range of the shortwave device is configured to [3MHz, 30MHz], the initial frequency is set to 12MHz, the working frequency band of the RF broadband is [2.5GHz, 5.8GHz], and the bandwidth range is set to 64MHz.

[0008] Furthermore, the signal detection and data collection module is used to collect shortwave and radio frequency broadband channel data and network load data at fixed intervals. The signal detection and data collection module includes a shortwave signal monitoring unit, a radio frequency broadband monitoring unit and a network load data acquisition unit. The shortwave signal monitoring unit measures the strength, signal-to-noise ratio, multipath delay spread and signal polarization characteristics of the shortwave signal at fixed time intervals. The radio frequency broadband signal monitoring unit monitors the power spectrum density, interference level and available bandwidth of the radio frequency broadband signal at fixed time intervals. The network load data acquisition unit acquires the number of communication tasks and data flow size distribution of the network load at fixed time intervals.

[0009] Further, the fitness evaluation module: the fitness evaluation module is used to evaluate the signal strength, bit error rate, throughput and network load according to the data collected by the signal detection and data collection module, and use the comprehensive fitness function to calculate the fitness value of each individual and form a list. The fitness evaluation module includes a signal strength evaluation unit, a bit error rate evaluation unit, a throughput evaluation unit and a network load evaluation unit. The signal strength evaluation unit is used to calculate the signal strength function value, the bit error rate evaluation unit is used to calculate the bit error rate function value, the throughput evaluation unit is used to calculate the throughput function value, and the network load evaluation unit is used to calculate the network load function value; the comprehensive fitness function is F=ω1F S +ω2F BER +ω3F TH +ω4F NL , where ω1, ω2, ω3, and ω4 are the weight coefficients of signal strength, bit error rate, throughput, and network load in the fitness function, respectively, and satisfy ω1+ω2+ω3+ω4=1; F Sis the signal strength function, F BER is the bit error rate function, F TH is the throughput function, F NL is the network load function; the signal strength function is specifically F S =k1S SW +k2S RF , where S SW is the shortwave signal strength, S RF is the RF broadband signal strength, k1 and k2 are coefficients set according to the importance of the two signals, k1+k2=1; the bit error rate function is specifically: Among them, BER SW is the shortwave bit error rate, BER RF is the RF broadband bit error rate, k3 is the adjustment coefficient; the throughput function is specifically F TH =αTH SW +βTH RF , α and β are weight coefficients set according to business requirements and the characteristics of the two communication modes, α+β=1; network load function F NL Specifically expressed as Among them NL i Indicates the load of each node, represents the average load, n is the number of nodes, U free It represents the utilization rate of idle resources, and k4 is the network load adjustment coefficient.

[0010] Furthermore, the genetic algorithm operation module: the genetic algorithm operation module performs selection, crossover and mutation operations according to the fitness value, which includes a selection operation unit, a crossover operation unit and a mutation operation unit; the selection operation unit calculates the selection probability and the cumulative probability, determines the individual entering the next generation population, and the selection probability Cumulative probability A random number generator is used to generate a random number in the interval [0,1], and the selected individuals are determined to enter the next generation population according to the cumulative probability. The crossover operation unit performs a crossover operation on the selected individuals to generate offspring individuals, and the mutation operation unit performs a mutation operation on the individual gene position; the crossover operation unit in the genetic algorithm operation module is used with a fixed crossover probability P c Decide whether to perform the crossover operation. When performing the crossover operation, randomly select a crossover point on the chromosome, the chromosome length is L, randomly select an integer of 1≤c≤L as the crossover point, and exchange the gene fragments of the two individuals after the crossover point to generate offspring; the mutation operation of the mutation operation unit in the genetic algorithm operation module is to fix the mutation probability P m The individual gene positions are mutated. For the shortwave frequency gene position, a new value is randomly selected within the set frequency value range for replacement. For the RF broadband bandwidth gene position, a new value is randomly selected within its value range for replacement.

[0011] Furthermore, the termination judgment module determines whether the maximum number of iterations has been reached or the algorithm has converged; if the maximum number of iterations has been reached, the resource combination plan corresponding to the individual with the highest fitness in the current population is directly output; if the maximum number of iterations has not been reached, the change of the fitness value of the current optimal individual in consecutive generations is checked. If the change is less than a given threshold, the algorithm is considered to have converged, and the resource combination plan corresponding to the optimal individual is output; otherwise, the signal monitoring and data collection stage is returned to continue the iteration.

[0012] Furthermore, the signal processing and communication module is used to configure device parameters according to the plan and perform modulation and signal processing operations; the signal processing and communication module includes a device configuration unit, a modulation operation unit and a signal processing operation unit. The device configuration unit sends instructions to shortwave and radio frequency broadband communication equipment according to the obtained optimal resource combination plan, accurately configures the frequency and bandwidth parameters of the equipment, and ensures that the equipment operates according to the optimal plan. The modulation operation unit selects appropriate modulation methods such as frequency shift keying and phase shift keying for data modulation based on channel conditions and business needs in shortwave communication; in radio frequency broadband communication, advanced modulation technologies such as orthogonal frequency division multiplexing are used for high-speed data transmission, and modulation parameters are dynamically adjusted according to channel conditions. In the process of signal sending and receiving, the signal processing operation unit uses a filtering algorithm for filtering, uses a noise reduction algorithm to reduce noise, and compensates for channel distortion through an equalization algorithm. At the receiving end, the signal is accurately demodulated to restore the original data to ensure efficient and reliable communication.

[0013] Compared with the prior art, the present invention has the following beneficial effects:

[0014] The high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system provided by the present invention can better adapt to ionospheric changes, reduce signal fading and interruption, and improve stability by monitoring multi-dimensional parameters and optimizing frequency with the help of genetic algorithms. It effectively solves the problem of communication interruption caused by unstable shortwave signals in military and police confidential communications and communications in remote areas, ensures the continuity and reliability of communications, effectively copes with external interference, reduces bit error rate, and enhances stability by monitoring signal characteristics and reasonably allocating resources. Genetic algorithms are used to comprehensively consider various factors to optimize the combination of frequency and bandwidth resources, avoid shortwave frequency band congestion and insufficient radio frequency broadband bandwidth utilization, improve the utilization rate of each resource, realize the integration of two communication resources, and improve the overall efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the module structure of the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] In order to solve the technical problems that the existing shortwave and RF broadband are insufficient when used separately or in combination, such as Figure 1 As shown, the following preferred technical solutions are provided:

[0018] The invention discloses a high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system, which is characterized by adopting a genetic algorithm to optimize the combination of frequency and bandwidth resources, and comprises: a parameter setting module, a signal monitoring and data collection module, a fitness evaluation module, a genetic algorithm operation module, a termination judgment module and a signal processing and communication module.

[0019] Parameter setting module: used to determine the genetic algorithm parameters and fitness weight coefficients, configure the initial parameters of the equipment, and establish the initial population. The resource combination scheme is encoded as a chromosome. The parameter setting module determines the population size as N and the maximum number of iterations as T. max , the crossover probability is P c , the mutation probability is P m , the frequency range of the shortwave device is configured to [3MHz, 30MHz], the initial frequency is set to 12MHz, the working frequency band of the RF broadband is [2.5GHz, 5.8GHz], and the bandwidth range is set to 64MHz.

[0020] Signal detection and data collection module: used to collect shortwave and RF broadband channel data and network load data at fixed intervals. The signal detection and data collection module includes a shortwave signal monitoring unit, a RF broadband monitoring unit and a network load data acquisition unit. The shortwave signal monitoring unit measures the strength, signal-to-noise ratio, multipath delay spread and signal polarization characteristics of the shortwave signal at fixed time intervals. The RF broadband signal monitoring unit monitors the power spectrum density, interference level and available bandwidth of the RF broadband signal at fixed time intervals. The network load data acquisition unit obtains the number of communication tasks and data flow size distribution of the network load at fixed time intervals. The shortwave signal monitoring unit measures the signal strength, signal-to-noise ratio, multipath delay spread and signal polarization characteristics at a time interval between [1,10] seconds. The RF broadband signal monitoring unit monitors the power spectrum density, interference level and available bandwidth at a time interval between [0.5,5] seconds. The network load data acquisition unit obtains the number of communication tasks and data flow size distribution of the network load at a time interval between [0.5,5] seconds.

[0021] Fitness evaluation module: The fitness evaluation module is used to evaluate the signal strength, bit error rate, throughput and network load according to the data collected by the signal detection and data collection module, and use the comprehensive fitness function to calculate the fitness value of each individual and form a list. The fitness evaluation module includes a signal strength evaluation unit, a bit error rate evaluation unit, a throughput evaluation unit and a network load evaluation unit. The signal strength evaluation unit is used to calculate the signal strength function value, the bit error rate evaluation unit is used to calculate the bit error rate function value, the throughput evaluation unit is used to calculate the throughput function value, and the network load evaluation unit is used to calculate the network load function value; the comprehensive fitness function is F = ω1F S +ω2F BER +ω3F TH +ω4F NL , where ω1, ω2, ω3, and ω4 are the weight coefficients of signal strength, bit error rate, throughput, and network load in the fitness function, respectively, and satisfy ω1+ω2+ω3+ω4=1; F S is the signal strength function, F BER is the bit error rate function, F TH is the throughput function, F NL is the network load function; the signal strength function is specifically F S =k1S SW +k2S RF , where S SW is the shortwave signal strength, S RF is the RF broadband signal strength, k1 and k2 are coefficients set according to the importance of the two signals, k1+k2=1; the bit error rate function is specifically: Among them, BER SW is the shortwave bit error rate, BER RF is the RF broadband bit error rate, k3 is the adjustment coefficient; the throughput function is specifically F TH =αTH SW +βTH RF , α and β are weight coefficients set according to business requirements and the characteristics of the two communication modes, α+β=1; network load function F NL Specifically expressed as Among them NL i Indicates the load of each node, represents the average load, n is the number of nodes, U free It represents the utilization rate of idle resources, and k4 is the network load adjustment coefficient.

[0022] Genetic algorithm operation module: The genetic algorithm operation module performs selection, crossover and mutation operations according to the fitness value, which includes selection operation unit, crossover operation unit and mutation operation unit; the selection operation unit calculates the selection probability and cumulative probability, determines the individuals entering the next generation population, and selects the probability Cumulative probability The random number generator is used to generate random numbers in the interval [0,1]. The selected individuals are selected to enter the next generation population according to the cumulative probability. The crossover operation unit performs a crossover operation on the selected individuals to generate offspring individuals. The mutation operation unit performs a mutation operation on the individual gene position. The crossover operation unit in the genetic algorithm operation module is used with a fixed crossover probability P. c Decide whether to perform the crossover operation. When performing the crossover operation, randomly select a crossover point on the chromosome. The chromosome length is L. Randomly select an integer of 1≤c≤L as the crossover point, and exchange the gene fragments of the two individuals after the crossover point to generate offspring; the mutation operation of the mutation operation unit in the genetic algorithm operation module is fixed with a mutation probability P m The individual gene bits are mutated. For the shortwave frequency gene bits, new values ​​are randomly selected within the set frequency value range for replacement. For the RF broadband bandwidth gene bits, new values ​​are randomly selected within their value range for replacement. The value ranges of the population size, maximum number of iterations, crossover probability and mutation probability determined by the algorithm parameter unit are: the population size is between [20, 200], the maximum number of iterations is between [50, 500], the crossover probability is between [0.4, 0.8], and the mutation probability is between [0.01, 0.1].

[0023] Termination judgment module: The termination judgment module judges whether the maximum number of iterations has been reached or the algorithm has converged; if the maximum number of iterations has been reached, the resource combination plan corresponding to the individual with the highest fitness in the current population is directly output; if the maximum number of iterations has not been reached, the change of the fitness value of the current optimal individual in consecutive generations is checked. If the change is less than the given threshold, the algorithm is considered to have converged, and the resource combination plan corresponding to the optimal individual is output; otherwise, the signal monitoring and data collection stage is returned to continue the iteration.

[0024] Signal processing and communication module: used to configure equipment parameters according to the plan and perform modulation and signal processing operations; the signal processing and communication module includes an equipment configuration unit, a modulation operation unit and a signal processing operation unit. The equipment configuration unit sends instructions to shortwave and RF broadband communication equipment based on the optimal resource combination plan obtained, accurately configures the frequency and bandwidth parameters of the equipment, and ensures that the equipment operates according to the optimal plan. In shortwave communication, the modulation operation unit selects appropriate modulation methods such as frequency shift keying and phase shift keying for data modulation based on channel conditions and business needs; in RF broadband communication, advanced modulation technologies such as orthogonal frequency division multiplexing are used for high-speed data transmission, and modulation parameters are dynamically adjusted according to channel conditions. In the process of signal sending and receiving, the signal processing operation unit uses filtering algorithms for filtering, uses noise reduction algorithms to reduce noise, and compensates for channel distortion through equalization algorithms. At the receiving end, the signal is accurately demodulated to restore the original data to ensure efficient and reliable communication.

[0025] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0026] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. High-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system, characterized by: Genetic algorithm is used to optimize the combination of frequency and bandwidth resources, including: parameter setting module, signal monitoring and data collection module, fitness evaluation module, genetic algorithm operation module, termination judgment module and signal processing and communication module, specifically: Parameter setting module: used to determine the genetic algorithm parameters and fitness weight coefficients, configure the initial parameters of the equipment, establish the initial population, and encode the resource combination plan into chromosomes; Signal detection and data collection module: used to collect shortwave and RF broadband channel data and network load data at fixed intervals; Fitness evaluation module: The fitness evaluation module is used to evaluate the signal strength, bit error rate, throughput and network load according to the data collected by the signal detection and data collection module, and use the comprehensive fitness function to calculate the fitness value of each individual and form a list. The fitness evaluation module includes a signal strength evaluation unit, a bit error rate evaluation unit, a throughput evaluation unit and a network load evaluation unit. The signal strength evaluation unit is used to calculate the signal strength function value, the bit error rate evaluation unit is used to calculate the bit error rate function value, the throughput evaluation unit is used to calculate the throughput function value, and the network load evaluation unit is used to calculate the network load function value; the comprehensive fitness function is F=ω1F S +ω2F BER +ω3F TH +ω4F NL , where ω1, ω2, ω3, and ω4 are the weight coefficients of signal strength, bit error rate, throughput, and network load in the fitness function, respectively, and satisfy ω1+ω2+ω3+ω4=1; F S is the signal strength function, F BER is the bit error rate function, F TH is the throughput function, F NL is the network load function; Genetic algorithm operation module: The genetic algorithm operation module performs selection, crossover and mutation operations according to the fitness value, which includes selection operation unit, crossover operation unit and mutation operation unit; the selection operation unit calculates the selection probability and cumulative probability, determines the individuals entering the next generation population, and selects the probability Cumulative probability A random number generator is used to generate random numbers in the interval [0,1]. The selected individuals are selected to enter the next generation population according to the cumulative probability. The crossover operation unit performs a crossover operation on the selected individuals to generate offspring individuals. The mutation operation unit performs a mutation operation on the individual gene positions. Termination judgment module: used to judge whether the maximum number of iterations has been reached or the algorithm has converged, and output the optimal resource combination plan; Signal processing and communication module: used to configure device parameters according to the scheme and perform modulation and signal processing operations.

2. The high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system as claimed in claim 1, characterized in that: The signal strength function is specifically F S =k1S SW +k2S RF , where S SW is the shortwave signal strength, S RF is the RF broadband signal strength, k1 and k2 are coefficients set according to the importance of the two signals, and k1+k2=1.

3. The high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system as claimed in claim 1, characterized in that: The bit error rate function is specifically: Among them, BER SW is the shortwave bit error rate, BER RF is the RF broadband bit error rate, and k3 is the adjustment coefficient.

4. The high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system as claimed in claim 1, characterized in that: The throughput function is specifically F TH =αTH SW +βTH RF , α and β are weight coefficients set according to business requirements and the characteristics of the two communication modes, α+β=1.

5. The high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system as claimed in claim 1, characterized in that: Network load function F NL Specifically expressed as Among them NL i Represents the load of each node, represents the average load, n is the number of nodes, U free It represents the utilization rate of idle resources, and k4 is the network load adjustment coefficient.

6. The high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system as claimed in claim 1, characterized in that: The parameter setting module determines the population size as N and the maximum number of iterations as T max , the crossover probability is P c , the mutation probability is P m , the frequency range of the shortwave device is configured to [3MHz, 30MHz], the initial frequency is set to 12MHz, the working frequency band of the RF broadband is [2.5GHz, 5.8GHz], and the bandwidth range is set to 64MHz.

7. The high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system as claimed in claim 6, characterized in that: The signal detection and data collection module includes a shortwave signal monitoring unit, a radio frequency broadband monitoring unit and a network load data acquisition unit. The shortwave signal monitoring unit measures the strength, signal-to-noise ratio, multipath delay spread and signal polarization characteristics of the shortwave signal at fixed time intervals. The radio frequency broadband signal monitoring unit monitors the power spectrum density, interference level and available bandwidth of the radio frequency broadband signal at fixed time intervals. The network load data acquisition unit acquires the number of communication tasks and data flow size distribution of the network load at fixed time intervals.

8. The high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system as claimed in claim 7, characterized in that: The crossover operation unit in the genetic algorithm operation module is fixed with a crossover probability P c Decide whether to perform the crossover operation. When performing the crossover operation, randomly select a crossover point on the chromosome, the chromosome length is L, randomly select an integer of 1≤c≤L as the crossover point, and exchange the gene fragments of the two individuals after the crossover point to generate offspring; the mutation operation of the mutation operation unit in the genetic algorithm operation module is to fix the mutation probability P m The individual gene positions are mutated. For the shortwave frequency gene position, a new value is randomly selected within the set frequency value range for replacement. For the RF broadband bandwidth gene position, a new value is randomly selected within its value range for replacement.

9. The high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system as claimed in claim 8, characterized in that: The termination judgment module judges whether the maximum number of iterations has been reached or the algorithm has converged; if the maximum number of iterations has been reached, the resource combination plan corresponding to the individual with the highest fitness in the current population is directly output; if the maximum number of iterations has not been reached, the change of the fitness value of the current optimal individual in consecutive generations is checked. If the change is less than a given threshold, the algorithm is considered to have converged, and the resource combination plan corresponding to the optimal individual is output; otherwise, the signal monitoring and data collection stage is returned to continue the iteration.

10. The high-efficiency shortwave and radio frequency broadband fusion communication digital signal processing system according to claim 9, characterized in that: The signal processing and communication module includes a device configuration unit, a modulation operation unit and a signal processing operation unit. The device configuration unit sends instructions to shortwave and radio frequency broadband communication devices according to the obtained optimal resource combination plan, accurately configures the frequency and bandwidth parameters of the equipment, and ensures that the equipment operates according to the optimal plan. The modulation operation unit selects the appropriate data modulation from frequency shift keying and phase shift keying modulation modes according to channel conditions and business requirements in shortwave communication; in radio frequency broadband communication, orthogonal frequency division multiplexing advanced modulation technology is used for high-speed data transmission, and modulation parameters are dynamically adjusted according to channel conditions. In the process of signal sending and receiving, the signal processing operation unit uses a filtering algorithm for filtering, uses a noise reduction algorithm to reduce noise, and compensates for channel distortion through an equalization algorithm. At the receiving end, the signal is accurately demodulated to restore the original data, ensuring efficient and reliable communication.

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