A SER antenna resistant to multipath fading

Abstract

The present invention discloses a SER antenna resistant to multipath fading, comprising: a receiving module for receiving multipath signals; a separation module, the separation module is used to separate multipath signals and identify the main path and the secondary path, measure the delay spread according to the phase difference between the main path signal and the secondary path signal, use power spectrum density analysis to determine the frequency selective fading situation, and calculate the channel impulse response matrix based on the above delay spread and frequency selective fading; an adjustment module, which adjusts antenna parameters based on the result of the separation processing of the separation module; a reconstruction module, which performs signal reconstruction to resist multipath fading. The beneficial effects of the present invention are: it can solve the deep fading problem caused by weak signal diffraction ability in high-frequency millimeter wave communication. The channel estimation error problem caused by the fast change of Doppler frequency shift in a high-speed mobile environment. The coherent multipath interference problem caused by the complex multipath components reflected from buildings.

Description

Technical Field

[0001] The invention relates to the field of communication technology, and in particular to a SER antenna capable of resisting multipath fading. Background Art

[0002] The method of combating antenna multipath fading mainly involves using specific technologies to weaken or eliminate the interference caused by signals reaching the receiving antenna through different paths, thereby improving the performance and reliability of wireless communication systems; however, in high-frequency millimeter wave communications, it is common for the signal to experience significant deep fading due to its weak diffraction ability, especially in non-line-of-sight environments, where the signal relies almost entirely on reflection and scattering to reach the receiving end, increasing the unpredictability of the signal. In addition, in high-speed mobile scenarios, the rapidly changing Doppler frequency shift will make it impossible for traditional channel estimation technology to provide sufficiently accurate channel state information, thereby causing large channel estimation errors and affecting the accuracy of data demodulation and the communication efficiency of the system. In densely deployed urban areas, multiple reflections from buildings will make the multipath components extremely complex, forming strong coherent multipath interference, further deteriorating the quality of the received signal and increasing the technical difficulty of designing anti-fading solutions. These problems jointly challenge the development and improvement of reliable transmission technologies in high-frequency bands, especially millimeter wave bands. Summary of the invention

[0003] The object of the present invention is to provide a method and device for SER antenna to resist multipath fading, and a SER antenna, so as to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] In a first aspect, a method for SER antenna to resist multipath fading is provided, comprising:

[0006] Receiving multipath signals;

[0007] Separating the multipath signals and identifying the primary path and the secondary path, measuring the delay spread according to the phase difference between the primary path signal and the secondary path signal, determining the frequency selective fading using power spectral density analysis, and calculating the channel impulse response matrix based on the delay spread and frequency selective fading;

[0008] adjusting antenna parameters based on the results of the separation process;

[0009] Signal reconstruction is performed to combat multipath fading.

[0010] Preferably, adjusting antenna parameters based on the result of separation processing includes:

[0011] Receive signal strength indication and signal-to-noise ratio in high-band millimeter wave communications;

[0012] Determining whether the signal strength indication is less than a set signal strength indication threshold and determining whether the signal-to-noise ratio is lower than a signal-to-noise ratio threshold;

[0013] If yes, adjust the antenna beamforming direction to increase the directivity of the beam;

[0014] Perform signal reconstruction.

[0015] Preferably, adjusting antenna parameters based on the result of separation processing includes:

[0016] Real-time monitoring of Doppler frequency shift f_d and reference frequency f_r in a high-speed mobile environment;

[0017] Apply the formula: If |f_d|>α×f_r, then update the channel state information CSI, where α is a coefficient;

[0018] Where f_d represents the Doppler frequency shift value monitored in real time, and f_r is a reference frequency standard;

[0019] Increase feedback frequency to adjust phase;

[0020] Perform signal reconstruction.

[0021] Preferably, adjusting antenna parameters based on the result of separation processing includes:

[0022] Perform signal quality estimation to calculate the bit error rate BER of the received data and compare it with a predetermined threshold value T_BER;

[0023] If BER < γ × T_BER, the current parameter setting is considered valid, and γ is the threshold adjustment factor;

[0024] Among them, BER is the bit error rate of the received information packet, and T_BER represents the threshold set in advance;

[0025] If the above conditions are met, the current configuration remains unchanged; otherwise, the parameters need to be dynamically optimized to enhance the robustness of the system.

[0026] Preferably, adjusting antenna parameters based on the result of separation processing includes:

[0027] Before signal recovery, the expected propagation environment impact factor E is predicted by the environmental model and compared with the current interference level I;

[0028] The current interference level is verified by the formula if E ≥ δ × I before the signal recovery measures are executed. δ is the relationship quantity used to balance the interference level with the actual demand;

[0029] Here E refers to the expected environmental impact factors, and I refers to the actual interference measured;

[0030] Prepare emergency adjustment parameters in advance;

[0031] Finally, a stable signal chain that is resistant to multipath fading is formed.

[0032] In a second aspect, a SER antenna anti-multipath fading device is provided, the device is used to perform the above method, and the device includes:

[0033] A receiving module, used for receiving multipath signals;

[0034] A separation module, the separation module is used to separate the multipath signal and identify the main path and the secondary path, measure the delay spread according to the phase difference between the main path signal and the secondary path signal, determine the frequency selective fading using power spectral density analysis, and calculate the channel impulse response matrix based on the delay spread and frequency selective fading;

[0035] An adjustment module, which adjusts antenna parameters based on the result of the separation processing of the separation module;

[0036] A reconstruction module performs signal reconstruction to combat multipath fading.

[0037] According to a third aspect, an electronic device is provided, comprising at least one processor, wherein the processor is communicatively connected to at least one memory, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the above-mentioned method.

[0038] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to execute the above method.

[0039] According to a fifth aspect, a SER antenna resistant to multipath fading is provided, wherein the SER antenna includes the above-mentioned electronic device.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows: the solution of the disclosed embodiment can solve the deep fading problem caused by weak signal diffraction ability in high-frequency band millimeter wave communication and the channel estimation error problem caused by fast Doppler frequency shift changes in high-speed mobile environments.

[0041] In dense urban deployments, coherent multipath interference occurs due to the complex multipath components reflected from buildings. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a flow chart of a method according to an embodiment of the present invention;

[0043] Figure 2This is a first sub-flowchart of step S300 of the present invention;

[0044] Figure 3 This is a second sub-flowchart of step S300 of the present invention;

[0045] Figure 4 This is a third sub-flowchart of step S300 of the present invention;

[0046] Figure 5 This is a fourth sub-flowchart of step S300 of the present invention;

[0047] Figure 6 This is a fifth sub-flow chart of step S300 of the present invention;

[0048] Figure 7 It is a device module diagram of the present invention;

[0049] Figure 8 This is a module diagram of an electronic device according to the present invention. DETAILED DESCRIPTION

[0050] 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.

[0051] See also Figure 1 The present invention provides a technical solution: a method for SER antenna to resist multipath fading, which can solve problems caused by various reasons, such as weak signal diffraction ability in high-frequency millimeter wave communication, channel estimation error caused by fast Doppler frequency shift in high-speed mobile environment, and coherent multipath interference caused by complex building reflection when deployed in dense urban areas. The method includes the following steps:

[0052] S100: Receive a multipath signal. Receive a multipath signal including the influence of multiple transmission paths;

[0053] S200: Separating the multipath signal and identifying the primary path and the secondary path, measuring the delay spread according to the phase difference between the primary path signal and the secondary path signal, determining the frequency selective fading using power spectral density analysis, and calculating the channel impulse response matrix based on the delay spread and frequency selective fading;

[0054] S300: Adjust antenna parameters based on the result of the separation process. According to the output of the separation process, fine-tune the antenna parameters to improve the transmission performance;

[0055] S400: Perform signal reconstruction to resist multipath fading. Reconstruct the signal to resist signal loss and quality problems caused by multipath.

[0056] In step S100, due to the influence of the propagation environment such as multiple refractions and reflections caused by building obstructions and other obstacles, the signal received at the receiving point is a superposition of the direct signal and the delayed signal on different paths. This means that when the signal arrives through different paths, a phase difference will be generated, and it may be superimposed on each other to form destructive or non-destructive interference, resulting in a reduction in the signal-to-noise ratio, which is a common challenge faced by the receiving link. Especially under millimeter wave high-frequency communication conditions, the short wavelength of the signal means that it is more difficult to generate sufficient diffraction to pass through or cross the obstacle when encountering an obstacle, which will significantly weaken the signal strength, causing serious reception problems. This is especially serious in high-frequency bandwidths because the high sensitivity of the signal is susceptible to these effects.

[0057] In step S200, the step of separating and processing the above-mentioned multipath signals is to overcome the channel effects caused by multipath, such as destructive interference and deep fading. The separation process can rely on spatial filtering or multiple-input multiple-output MIMO technology. These methods can physically distinguish direct signals from other multipath signals that arrive after different degrees of diffraction or reflection, so that direct and other main signal components can be analyzed and subsequently processed independently. For example, in a practical environment, a system with a large-scale antenna array can effectively reduce the impact of these multiple paths by using beamforming technology and advanced spatial coding strategies, concentrate the signal in the main direction, reduce interference between multipath signals, and thus reduce the adverse effects caused by path differences.

[0058] In step S300, the multipath signal is separated and the main path and the secondary path are identified. The delay spread is measured based on the phase difference between the main path signal and the secondary path signal. The frequency selective fading is determined using power spectrum density analysis. The channel impulse response matrix is ​​calculated based on the delay spread and frequency selective fading. According to the separated direct radiation and other main signal characteristics, the antenna parameters (such as array shape and arrangement, transmission power, and even waveform design) will be dynamically adjusted after the corresponding algorithm optimization calculation. Accurate adjustment based on such separation and analysis results can help the communication system more effectively deal with the variable signal path characteristics caused by reflection or diffraction.

[0059] In step S400, the signal reconstruction step performed on the basis of the previous signal analysis and antenna adjustment is intended to maximize the restoration of the original transmission characteristics of the signal that has been degraded due to reflection and diffraction or to enhance its effective reception capability. This process may include the use of adaptive demodulation and recombinant synthesis to reconstruct the original data bit stream based on the information obtained during the separation process. In some instance scenarios, if the receiving device detects a Doppler frequency deviation with a very high rate of change caused by high-speed movement, a special frequency correction scheme and a fast channel estimation algorithm may be adopted to compensate for the impact of the rapidly changing environment.

[0060] Therefore, this multipath fading countermeasure provides an effective solution to various communication challenges in the millimeter wave field through a combination of multi-level measures such as reception, separation analysis, antenna dynamic parameter adjustment, and finally comprehensive reconstruction of the signal. This method theoretically provides a solution strategy for high-frequency bands, especially those technologies that seek efficient information exchange under high interference and unstable conditions.

[0061] See also Figure 2 In step S300, this process includes multiple continuous and interrelated operation sub-steps.

[0062] First sub-step:

[0063] S301: Measure the received signal strength indicator (RSSI) and signal-to-noise ratio (SNR). RSSI represents the overall level of the received signal, usually measured in decibel milliwatts (dBm); while SNR refers to the ratio of the signal strength to the noise strength. In this operation, RSSI is used to quantify the power level of the received wireless signal, while SNR is an important parameter for determining whether the received valid signal is stronger than the background noise.

[0064] For example, in an actual case of high-frequency millimeter wave communication, when the device is deployed and before starting to transmit data packets, the system first monitors the RSSI and SNR levels in the current working environment. If the RSSI is less than the predetermined value T_RSS or the SNR is less than the preset threshold T_SNR, it is determined that multipath fading is significant under the current conditions.

[0065] S302: If the above conditions are met, the next step is to adjust the beamforming direction of the antenna to enhance the directivity of the beam. This can focus the transmitted energy to a more specific target direction and reduce signal interference or attenuation caused by multipath propagation.

[0066] In one embodiment, specifically, if the RSSI shows a weak signal and the SNR shows poor signal quality, the system will enhance the target direction signal by adjusting the antenna array, such as increasing the directional coefficient of the transmitting antenna. For example, the ideal RSSI threshold T_RSS set may be -70dBm, and the ideal SNR threshold T_SNR is about 15dB. In actual application scenarios, these values ​​may be adjusted according to different needs. The adjusted beam direction may direct the maximum gain of the main lobe toward the direction of the main propagation path, thereby improving communication performance.

[0067] S303: After the dynamic adjustment of the antenna parameters is completed, the signal is reconstructed to further improve the communication effect when the channel condition is poor, so that a stable connection can be maintained even in the presence of fading.

[0068] The last step means reconstructing the characteristics of the transmission path after the antenna beam is optimized, so that the data stream can re-adapt to the physical channel under the new parameter configuration. This step is necessary because the dynamic transmission environment requires continuous adaptation to achieve the best transmission quality. This not only helps to improve the robustness of the system, but also reduces the packet loss caused by unstable transmission, thereby optimizing the user experience.

[0069] See also Figure 3 , a sub-step of step S300 includes:

[0070] S311: Real-time monitoring of Doppler frequency shift f_d and reference frequency f_r in a high-speed mobile environment. Here, Doppler frequency shift f_d refers to the difference between the received signal frequency and the transmitted signal frequency caused by movement; and the reference frequency f_r is a fixed reference frequency used for comparison calculation. In actual operation, this value is usually derived from the center frequency specified by the standard communication protocol or the previous calibration frequency. In order to improve the anti-multipath fading capability and accuracy, it is necessary to select a reference frequency value that is high enough and not easily affected by environmental factors.

[0071] S312: Apply a conditional formula to update the channel state information CSI. If the calculation shows that |f_d| >α×f_r, the channel state information is updated. In this formula, α is a pre-set constant. In some cases, the optimal value can be between 1 and 2 to ensure sensitivity to fast motion but avoid over-adjustment. The meaning of this formula is that when the detected Doppler shift is greater than α times the reference frequency, it is considered that the channel state has changed significantly and the information needs to be updated in order to better track the signal and adapt to changes in the current situation.

[0072] S313: Increase the feedback frequency to adjust the phase to cope with the rapidly changing channel environment. This is done by continuously detecting the phase difference between the transmitted and received signals, promptly discovering the deviation and making necessary corrections on the system, thereby ensuring that the antenna can still accurately receive signals during high-speed movement.

[0073] S314: Perform signal reconstruction to optimize the received signal quality. Specifically, in a certain embodiment, it is assumed that a 5G base station antenna on a vehicle continuously monitors and calculates the Doppler frequency shift of the signal reflected from different directions around it. After determining that the signal has shifted significantly, such as f_d exceeds 1.5 times the preset value f_r, it automatically triggers adjustment. Then increase the frequency of phase feedback, and reconstruct a more stable and higher-quality signal transmission on the communication path, thereby reducing the adverse effects of the multipath effect caused by vehicle travel. This process makes wireless communications in a mobile environment more stable and reliable, and improves the effectiveness of data transmission and the quality of service perceived by users.

[0074] See also Figure 4 For a complex multipath scene in a building environment, another sub-step of step S300 includes:

[0075] S321: It is necessary to measure the angle of arrival AOA of the signal and detect the number of discrete multipaths N. The angle measurement result (AOA) involved in this step is usually the angle of arrival of the signal from different paths after the signal received by the antenna array is processed; and the measurement of the number of discrete multipaths is to detect multiple independent paths formed by the signal after multiple reflections and refractions, and each path is regarded as a discrete multipath.

[0076] In one embodiment, assuming that a specific AOA is measured to be 30 degrees and N=7, the AOA and N values ​​are compared with a predetermined formula. Specifically, if N is greater than the product of β and AOA, the adaptive multipath suppression mechanism will be enabled; β is set here as an empirical proportional constant, and the value is usually between [0.1, 0.5] to ensure the flexibility of the system. The significance of this formula is to determine when the multipath in the environment is serious to a certain threshold (that is, the discrete multipath exceeds the expected degree represented by the angle multiple), indicating that the signal is subject to heavier multipath fading, and additional measures need to be activated to compensate.

[0077] Let's continue to use examples to illustrate the working mechanism of the formula. Assuming that the β value is equal to 0.3, the trigger condition is that N is greater than 0.3×30 (approximately equal to 9). Since the actual measured N value in this example is less than the required threshold, if N is a larger value, such as 12, the formula N > β×AOA (12>0.3×30 or 9) is true, thus triggering automatic adjustment.

[0078] S322: Adjust the spacing and phase of the antenna elements according to the result of the previous step to mitigate the interference caused by the multipath effect. This means that in order to reduce the coherence caused by multipath (the phenomenon of signals superimposing each other to form troughs and peaks), the spatial configuration of the antenna elements and their relative phases during transmission / reception will be reset to break these fixed coherence relationships.

[0079] S323: After performing the above parameter adjustments, the system enters the signal reconstruction phase. This step is to reconstruct the time / frequency domain signal that has been distorted by multiple reflections and refractions. In this scenario, the system attempts to restore the integrity and clarity of the original transmitted signal. For example, in actual application scenarios, if a mobile communication system encounters complex multipath propagation problems in dense urban areas, it may optimize the wireless antenna parameters based on the detection results to achieve more reliable data exchange. In this way, while improving the channel quality, the data throughput capacity of the communication network and the user-perceived quality are also improved.

[0080] See also Figure 5 When adjusting the antenna parameters, a sub-step of step S300 includes:

[0081] S331: First, the signal quality is estimated to calculate the bit error rate (BER) of the received data and compare it with the predetermined threshold T_BER. This step is to measure whether the actual error state of the data at the receiving end is acceptable. Here, BER is the bit error rate of the received data packet. It is a proportional value in the range of [0, 1]. Its ideal state, that is, the minimum value, is 0, indicating that there is no bit error. T_BER is a reference standard set according to the needs of a specific scenario. In order to increase flexibility and ensure that the method can adapt to the transmission needs in different environments, a multiplier γ is used to adjust the effectiveness of the threshold T_BER. γ is usually between 0 and 1, and γ=0.7 may be one of the optimal values. This setting can reduce the possibility of bias in the current environment assessment and improve robustness in the case of low signal-to-noise ratio.

[0082] S332: Judge according to the previous conditions: If the calculated BER is less than the pre-adjusted threshold (i.e., γ multiplied by T_BER), it is determined that all currently used antenna parameter configurations (such as transmission angle, frequency, etc.) are valid. At this time, there is no need to adjust the existing parameter configurations and continue to use these parameters to maintain the stability of signal communication quality.

[0083] S333: Enter the link of dynamically optimizing parameters to improve signal quality to combat the adverse effects of multipath. This may involve measures such as automatically adjusting the directivity of the receiver or transmitter antenna, or optimizing signal coverage through beamforming. For example, in an application scenario with a severe multipath environment, the receiving terminal may dynamically select an algorithm combination that is more conducive to eliminating interference based on the actual multipath conditions, thereby improving the system's anti-multipath capability and robustness. Dynamic configuration may be changed periodically or responsively to ensure that communications are continuously optimized to a better performance level.

[0084] After completing the above process, the correct reconstruction of information under multipath conditions is guaranteed. Specifically, in a certain application example, assuming there are two different receiving devices, after experiencing a complex reflection path, the ultimate goal is to restore the originally sent information with the smallest possible error. In this process, based on the good parameter set determined in the previous step, accurate and effective signal reconstruction is performed to ensure the integrity and accuracy of information transmission. In this way, the entire system completes a round of automatic adjustment against multipath and signal recovery.

[0085] See also Figure 6 , which involves a specific implementation strategy for combating antenna multipath fading, and aims to dynamically change antenna parameters to maintain communication quality according to changes in the signal propagation environment. At this time, the sub-steps of step S300 include:

[0086] S341: The environmental model is used to predict the impact factor E of the expected propagation environment under specific conditions. This prediction is a preliminary step before signal recovery. The key to this step is to create and maintain a simulation or data-driven model that can accurately predict the impact of multipath. This prediction can help you understand in advance which environmental changes may affect the quality of the received signal in the future.

[0087] S342: The interference level at the actual measurement site, that is, the value of the interference level I. This value is used to reflect how serious the multipath effect or other potential interference is in the current environment. In order to decide whether to continue the next processing operation, the formula is used to compare the relationship between the actual interference amount I currently measured and the expected interference amount E. If it is calculated that E≥δ×I, it is considered that the current situation is suitable for taking measures to increase the possibility of signal recovery. Here, the parameter δ is a number between 0 and 1. In different application scenarios, the optimal value will be different; choosing an appropriate δ value can help find a good balance between avoiding excessive intervention and ensuring sufficient performance.

[0088] S343: Based on the information obtained in the previous two steps, prepare a set of emergency plans to deal with multipath problems. These plans include adjusting parameters such as gain, frequency or transmission power. These emergency measures can ensure a certain degree of communication stability and quality in an undesirable propagation environment. The choice of emergency plan depends on the actual needs obtained from the previous analysis.

[0089] S344: Apply the results of the above steps to the antenna system to adjust the corresponding parameters, so that the communication chain can adapt to the complex and changing environment, and finally form a stable signal chain that resists multipath interference.

[0090] For example, in one embodiment, it is assumed that a wireless transmission system is designed to cover the communication between small base stations between multiple high-rise buildings in a city. After predicting the expected multipath situation, if the actual interference level is measured to be relatively low compared to expectations, the emergency response may not be activated temporarily; but if the interference exceeds the set tolerance range, measures such as signal enhancement or directionality enhancement are triggered, so that the system can reliably transmit signals in a multipath environment. In this case, the selected δ value may be close to 1, indicating that the expected environmental changes almost completely cover or even exceed the changes obtained by real-time measurements, so as to ensure that the system can still meet performance requirements even in the worst case. The formula is set in this way because the transmission between high-rise buildings in the city is often severely affected by multipath effects, and a more sensitive and sufficient emergency response strategy is required to maintain the stability and reliability of the communication system.

[0091] The present invention provides a method for SER antenna to resist multipath fading, which includes a series of countermeasures taken against multipath fading in a specific wireless communication environment. Specifically, the technical challenges faced in the three scenarios of high-frequency millimeter wave communication, high-speed mobile environment, and dense urban deployment are: weak signal diffraction capability, channel estimation error, and complex coherent multipath interference, all of which may lead to severe multipath fading. The present invention aims to effectively alleviate these multipath fading problems by implementing the following main steps:

[0092] First, the receiving device receives multipath signals from the transmitter through the antenna - delays and signal strength variations caused by signals reaching the same destination through different paths. In order to effectively analyze and process these signals, it is necessary to first ensure that all significant paths are received.

[0093] The next step is to separate the received multipath signals. The technical difficulty here is to identify and separate each signal, usually using space-time coding (Space-Time Coding), multiple input multiple output technology (MIMO), or other advanced algorithms to achieve signal decomposition and reduce cross-interference, especially in areas with dense buildings. This step is particularly important.

[0094] Third, the parameters of the antenna system are adjusted in real time or near real time based on the results of processing and separation, including but not limited to adjusting the direction of the array or the beamforming mode and other parameters to dynamically improve the channel performance and combat fast channel changes (such as the Doppler effect).

[0095] Finally, the key to the present invention is to use the adjusted parameters and separated signal data for reconstruction. This reconstruction process not only involves the process of reorganizing the component signals into complete transmission information, but also requires the application of advanced signal processing technology to restore the original signal quality, thereby essentially resisting the attenuation caused by multipath and ensuring stable and reliable transmission performance under the above three complex conditions.

[0096] In short, this method provides an effective countermeasure by finely managing multipath signals and using a dynamic parameter adjustment mechanism, when the propagation capability of high-frequency millimeter-wave signals is limited and signals are easily interfered by complex physical structures such as buildings. This is a practical improvement measure for the development of future wireless communication technologies, especially 5G and more advanced communication standards.

[0097] like Figure 7 As shown, the second aspect of the present invention provides a SER antenna anti-multipath fading device, the device is used to perform the above-mentioned SER antenna anti-multipath fading method, the device includes:

[0098] Receiving module 1, used for receiving multipath signals;

[0099] A separation module 2, the separation module is used to separate the multipath signal and identify the main path and the secondary path, measure the delay spread according to the phase difference between the main path signal and the secondary path signal, use power spectral density analysis to determine the frequency selective fading, and calculate the channel impulse response matrix based on the delay spread and frequency selective fading;

[0100] An adjustment module 3, adjusting antenna parameters based on the separation processing result of the separation module;

[0101] A reconstruction module 4, which performs signal reconstruction to resist multipath fading.

[0102] By combining the anti-multipath fading device provided by the present invention with the SER antenna, it is possible to solve the deep fading problem caused by the weak signal diffraction ability of the SER antenna in high-frequency millimeter wave communication, the channel estimation error problem caused by the fast change of Doppler frequency shift in high-speed mobile environment, and the coherent multipath interference problem caused by the complex multipath components reflected by buildings in dense urban deployment.

[0103] Figure 8A schematic diagram of an electronic device 20 that can implement an embodiment of the present invention is shown, and the electronic device is intended to represent various forms of control devices. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0104] like Figure 8 As shown, the electronic device 20 includes at least one processor 21, and a memory connected to the at least one processor 21, such as a read-only memory (ROM) 22, a random access memory (RAM) 23, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 21 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 22 or the computer program loaded from the storage unit 28 to the random access memory (RAM) 13. In the RAM 23, various programs and data required for the operation of the electronic device 20 can also be stored. The processor 21, ROM 22 and RAM 23 are connected to each other through a bus 24. An input / output (I / O) interface 25 is also connected to the bus 24.

[0105] A number of components in the electronic device 20 are connected to the I / O interface 25, including: an input unit 26, such as a keyboard, a mouse, etc.; an output unit 27, such as various types of displays, speakers, etc.; a storage unit 28, such as a disk, an optical disk, etc.; and a communication unit 29, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 29 allows the electronic device 20 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0106] The processor 21 may be a variety of general and / or dedicated processing components with processing and computing capabilities. Some examples of the processor 21 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 21 executes the various methods and processes described above, such as the SER antenna anti-multipath fading method.

[0107] In some embodiments, the SER antenna anti-multipath fading method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 28. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 20 via the ROM 22 and / or the communication unit 29. When the computer program is loaded into the RAM 23 and executed by the processor 21, one or more steps in the wall line detection method described above can be performed. Alternatively, in other embodiments, the processor 21 can be configured to execute the SER antenna anti-multipath fading method in any other appropriate manner (for example, by means of firmware).

[0108] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0109] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0110] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0111] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and

[0112] Input from the user may be received in any form, including acoustic input, voice input, or tactile input.

[0113] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0114] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0115] An embodiment of the present invention also provides a SER antenna resistant to multipath fading. The SER antenna includes the electronic device described in the embodiment of the present invention. The SER antenna can execute a SER antenna anti-multipath fading method provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0116] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0117] 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 method for SER antenna to resist multipath fading, characterized in that: include: Receiving multipath signals; Separating the multipath signals and identifying the primary path and the secondary path, measuring the delay spread according to the phase difference between the primary path signal and the secondary path signal, determining the frequency selective fading using power spectral density analysis, and calculating the channel impulse response matrix based on the delay spread and frequency selective fading; Adjusting antenna parameters based on the results of the separation process includes: monitoring the Doppler frequency shift f_d and the reference frequency f_r in real time in a high-speed mobile environment; applying the formula if |f_d|>α×f_r, then updating the channel state information CSI, α is a coefficient; wherein f_d represents the Doppler frequency shift value monitored in real time, and f_r is a reference frequency standard; increasing the feedback frequency to adjust the phase; performing signal reconstruction; Signal quality estimation is performed to calculate the bit error rate BER of the received data and compare it with the predetermined threshold value T_BER; if the condition of use is BER<γ×T_BER, then the current parameter setting is deemed valid, and γ is the threshold adjustment factor; where BER is the bit error rate of the received information packet, and T_BER represents the pre-set threshold; if the above conditions are met, the current configuration is maintained unchanged; otherwise, the parameters need to be dynamically optimized to enhance the system robustness; Before signal recovery, the expected propagation environment impact factor E is predicted by the environmental model and compared with the current interference level I. The signal recovery measures are implemented only after the current interference level is verified to be effective through the formula if E≥δ×I, where δ is the relationship between the interference level and the actual demand. Here, E refers to the expected environmental impact factor, and I refers to the actual interference measured. Emergency adjustment parameters are prepared in advance, and finally a stable signal chain resistant to multipath fading is formed. Signal reconstruction is performed to combat multipath fading.

2. The method for SER antenna to resist multipath fading according to claim 1, characterized in that: The adjusting the antenna parameters based on the result of the separation process comprises: Receive signal strength indication and signal-to-noise ratio in high-band millimeter wave communications; Determining whether the signal strength indication is less than a set signal strength indication threshold and determining whether the signal-to-noise ratio is lower than a signal-to-noise ratio threshold; If yes, adjust the antenna beamforming direction to increase the directivity of the beam; Perform signal reconstruction.

3. A SER antenna anti-multipath fading device, the device is used to execute the SER antenna anti-multipath fading method according to any one of claims 1 to 2, characterized in that: The device comprises: A receiving module, used for receiving multipath signals; A separation module, the separation module is used to separate the multipath signal and identify the main path and the secondary path, measure the delay spread according to the phase difference between the main path signal and the secondary path signal, determine the frequency selective fading using power spectral density analysis, and calculate the channel impulse response matrix based on the delay spread and frequency selective fading; An adjustment module, which adjusts antenna parameters based on the result of the separation processing of the separation module; A reconstruction module performs signal reconstruction to combat multipath fading.

4. An electronic device, characterized in that: The invention comprises at least one processor, wherein the processor is communicatively connected to at least one memory, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the SER antenna anti-multipath fading method according to any one of claims 1 to 2.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the SER antenna anti-multipath fading method according to any one of claims 1 to 2 when executed.

6. A SER antenna resistant to multipath fading, characterized in that: The SER antenna comprises the electronic device according to claim 4.

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