Auxiliary pilot frequency adaptive optimization method, device, equipment and medium

Abstract

Disclosed are an auxiliary pilot adaptive optimization method, apparatus and device, and a medium, which relate to the technical field of wireless communications, and solve the problems of static configuration, resource waste and single function of the existing auxiliary pilot. An auxiliary pilot frequency sequence is designed into a synchronous prefix and an estimation core section, and the synchronous prefix adopts a pseudo-random sequence with high autocorrelation and is used for timing synchronization (positioning through a sequence autocorrelation peak value) and frequency synchronization (calculating frequency offset through a phase difference) in a demodulation process; the estimation core section adopts an orthogonal sequence with a low peak-to-average ratio and is used for accurate channel estimation; the double-segment sequence is connected through a preset code pattern, and it is ensured that a demodulation end can perform synchronous analysis. By sensing the channel state in real time, parameters of the auxiliary pilot frequency are dynamically adjusted, and a synchronization function is fused, so that the demodulation performance and the resource utilization rate are improved.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and in particular to an auxiliary pilot adaptive optimization method, apparatus, device, and medium based on channel dynamic characteristics. Background Technology

[0002] To enable wireless communication systems to achieve multi-antenna diversity gain in anti-interference communication, the space-time block code concatenated gain coding method is often used to improve anti-interference and obtain a low bit error rate. The MIMO system designed in this way uses multiple transmission modes and achieves high-speed and reliable transmission by multiplexing space and time. In particular, OFDM is introduced into the MIMO system to achieve orthogonal transmission of signals, which is a solution for complex scenarios such as 5G and Internet of Things in current large-scale MIMO systems.

[0003] MIMO systems currently rely heavily on spatial and temporal multiplexing to achieve high-reliability, high-speed transmission, placing stringent demands on the accuracy of channel estimation. Insufficient channel estimation accuracy, or severe or complex interference in real-world scenarios, exponentially increases the complexity of baseband coding, further drastically increasing hardware performance requirements; otherwise, transmission delays or rates of failure will occur. Currently, MIMO systems often employ auxiliary pilots for channel estimation. Traditional auxiliary pilots have fixed parameters such as time-frequency location, density, and power, failing to adapt to dynamic channel changes, leading to increased channel estimation errors and higher demodulation bit error rates. Furthermore, existing solutions typically configure auxiliary pilots with uniform density across all scenarios, neglecting channel differences among user equipment (UEs) (e.g., better channel conditions for UEs near the base station versus poorer conditions for UEs at the edge). This results in redundant pilot resources for UEs near the base station and insufficient pilot resources for UEs at the edge, leading to unreasonable resource allocation. Auxiliary pilots focus solely on channel estimation and do not coordinate with the synchronization requirements (timing and frequency synchronization) during demodulation, necessitating additional synchronization sequences, increasing signal overhead and demodulation complexity. Summary of the Invention

[0004] In view of the above problems, the present invention provides an auxiliary pilot adaptive optimization method, apparatus, device and medium for overcoming the above problems or at least partially solving the above problems.

[0005] This invention provides the following solution:

[0006] An auxiliary pilot adaptive optimization method includes:

[0007] Obtain the channel parameters of the current communication link collected by the channel monitoring module of the demodulation device;

[0008] Based on the channel parameters, a dynamic adjustment strategy is generated through the pilot optimization decision module; the dynamic adjustment strategy includes time-domain density adjustment, frequency-domain spacing adjustment, power adaptive configuration, and fusion sequence design; the fusion sequence includes a two-segment sequence structure of a synchronization prefix segment and an estimated core segment; the two-segment sequence structure is connected by a preset code pattern to ensure that the demodulation end can be parsed synchronously;

[0009] The demodulation device's pilot optimization module feeds back the parameter adjustment strategy to the transmitter in real time, so that the transmitter updates the auxiliary pilot configuration according to the adjusted parameters, realizing closed-loop dynamic adaptation from channel state to pilot configuration; so that when the demodulation device receives the signal, it first completes timing and frequency synchronization calibration through the synchronization prefix of the auxiliary pilot, and then performs channel estimation based on the estimated core segment.

[0010] Preferably, the channel parameters include time-varying characteristic parameters, frequency-selective characteristic parameters, and fading depth characteristic parameters.

[0011] Preferably, the time-domain density adjustment includes reducing the time-domain interval of the auxiliary pilot by a factor of m, where m ≥ 1.5, if the Doppler frequency offset is greater than a preset threshold or the channel coherence time is less than a preset threshold, thereby increasing the time-domain sampling density; conversely, increasing the time-domain interval to reduce pilot overhead.

[0012] Preferably, the frequency domain spacing adjustment includes reducing the frequency domain spacing of the auxiliary pilot by a factor of n, where n≥1.5, if the delay spread is greater than a preset threshold or the channel coherence bandwidth is less than a preset threshold, thereby increasing the frequency domain sampling density; conversely, increasing the frequency domain spacing to save frequency domain resources.

[0013] Preferably, the power adaptive configuration includes, for the fading depth characteristic parameter, if the characteristic parameter is greater than a preset threshold, increasing the auxiliary pilot power at the corresponding time-frequency position by a factor of k, where k = 2 to 5, to enhance the pilot anti-fading capability; if the characteristic parameter is less than the preset threshold, reducing the pilot power to the base value to avoid power waste.

[0014] Preferably, the synchronization prefix segment uses a pseudo-random sequence with high autocorrelation for timing and frequency synchronization during demodulation; the estimation core segment uses an orthogonal sequence with low peak-to-average power ratio for accurate channel estimation.

[0015] An auxiliary pilot adaptive optimization device is used to execute the above-described auxiliary pilot adaptive optimization method, the device comprising:

[0016] The channel dynamic characteristics real-time acquisition unit is used to acquire the channel parameters of the current communication link collected by the channel monitoring module of the demodulation device;

[0017] An auxiliary pilot parameter adaptive decision unit is used to generate a dynamic adjustment strategy based on the channel parameters through a pilot optimization decision module. The dynamic adjustment strategy includes time-domain density adjustment, frequency-domain spacing adjustment, power adaptive configuration, and fusion sequence design. The fusion sequence includes a two-segment sequence structure consisting of a synchronization prefix segment and an estimated core segment. The two-segment sequence structure is connected by a preset code pattern to ensure that the demodulation end can be parsed synchronously.

[0018] The pilot configuration dynamic update and demodulation coordination unit is used to use the pilot optimization module of the demodulation device to feed back the parameter adjustment strategy to the transmitter in real time, so that the transmitter can update the auxiliary pilot configuration according to the adjusted parameters, thereby realizing closed-loop dynamic adaptation from channel state to pilot configuration; so that when the demodulation end receives the signal, it first completes timing and frequency synchronization calibration through the synchronization prefix of the auxiliary pilot, and then performs channel estimation based on the estimated core segment.

[0019] An auxiliary pilot adaptive optimization device, the device comprising a processor and a memory:

[0020] The memory is used to store program code and transmit the program code to the processor;

[0021] The processor is used to execute the above-described auxiliary pilot adaptive optimization method according to the instructions in the program code.

[0022] A computer-readable storage medium for storing program code for executing the above-described auxiliary pilot adaptive optimization method.

[0023] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0024] This application provides an adaptive optimization method, apparatus, device, and medium for auxiliary pilots. This method solves the problems of static configuration, resource waste, and limited functionality in existing auxiliary pilot systems. The auxiliary pilot sequence is designed as a synchronization prefix plus an estimation core segment. The synchronization prefix uses a pseudo-random sequence with high autocorrelation for timing synchronization (location via sequence autocorrelation peaks) and frequency synchronization (frequency offset calculation via phase difference) during demodulation. The estimation core segment uses an orthogonal sequence with a low peak-to-average power ratio for accurate channel estimation. The two sequences are joined using a preset code pattern to ensure synchronous parsing at the demodulation end. By sensing the channel state in real time, the parameters of the auxiliary pilot are dynamically adjusted, and the synchronization function is integrated to improve demodulation performance and resource utilization.

[0025] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly described below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0027] Figure 1 This is a flowchart of an auxiliary pilot adaptive optimization method provided in an embodiment of the present invention;

[0028] Figure 2 This is a schematic diagram of an auxiliary pilot adaptive optimization device provided in an embodiment of the present invention;

[0029] Figure 3 This is a schematic diagram of an auxiliary pilot adaptive optimization device provided in an embodiment of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention are within the scope of protection of the present invention.

[0031] See Figure 1 This invention provides an auxiliary pilot adaptive optimization method, such as... Figure 1 As shown, the method may include:

[0032] S101: Obtain the channel parameters of the current communication link collected by the channel monitoring module of the demodulation device; in specific implementation, the channel parameters in this application embodiment may include time-varying characteristic parameters, frequency-selective characteristic parameters, and fading depth characteristic parameters. The time-varying characteristic parameters include Doppler frequency offset value and channel coherence time; the frequency-selective characteristic parameters include delay spread and channel coherence bandwidth; the fading depth characteristic parameters include received signal power fluctuation value.

[0033] S102: Based on the channel parameters, a dynamic adjustment strategy is generated through the pilot optimization decision module; the dynamic adjustment strategy includes time-domain density adjustment, frequency-domain spacing adjustment, power adaptive configuration, and fusion sequence design; the fusion sequence includes a two-segment sequence structure of a synchronization prefix segment and an estimated core segment; the two-segment sequence structure is connected by a preset code pattern to ensure that the demodulation end can be synchronously parsed; in specific implementation, the embodiments of this application can provide that the time-domain density adjustment includes reducing the time-domain spacing of the auxiliary pilot by a factor of m, where m≥1.5, if the Doppler frequency offset value is greater than a preset threshold or the channel coherence time is less than a preset threshold, thereby increasing the time-domain sampling density; conversely, increasing the time-domain spacing to reduce pilot overhead.

[0034] The frequency domain spacing adjustment includes reducing the frequency domain spacing of the auxiliary pilot by a factor of n (n≥1.5) if the delay spread is greater than a preset threshold or the channel coherence bandwidth is less than a preset threshold, thereby increasing the frequency domain sampling density; conversely, increasing the frequency domain spacing to save frequency domain resources.

[0035] The power adaptive configuration includes, for the fading depth characteristic parameter, if the characteristic parameter is greater than a preset threshold, the auxiliary pilot power at the corresponding time-frequency position is increased by a factor of k, k = 2 to 5, to enhance the pilot anti-fading capability; if the characteristic parameter is less than the preset threshold, the pilot power is reduced to the basic value to avoid power waste.

[0036] The synchronization prefix segment uses a pseudo-random sequence with high autocorrelation for timing and frequency synchronization during demodulation; the estimation core segment uses an orthogonal sequence with low peak-to-average power ratio for accurate channel estimation.

[0037] S103: The parameter adjustment strategy is fed back to the transmitter in real time using the pilot optimization module of the demodulation device, so that the transmitter updates the auxiliary pilot configuration according to the adjusted parameters, realizing closed-loop dynamic adaptation from channel state to pilot configuration; so that when the demodulation end receives the signal, it first completes timing and frequency synchronization calibration through the synchronization prefix of the auxiliary pilot, and then performs channel estimation based on the estimated core segment.

[0038] The auxiliary pilot adaptive optimization method provided in this application designs the auxiliary pilot sequence as a synchronization prefix + estimation core segment. The synchronization prefix adopts a pseudo-random sequence with high autocorrelation for timing synchronization (positioning by the autocorrelation peak of the sequence) and frequency synchronization (calculating frequency offset by phase difference) in the demodulation process. The estimation core segment adopts an orthogonal sequence with low peak-to-average power ratio for accurate channel estimation. The two segments are connected by a preset code pattern to ensure that the demodulation end can be parsed synchronously.

[0039] The adaptive optimization method for auxiliary pilot signals provided in this application will be described in detail below.

[0040] Step 1: Real-time acquisition of channel dynamic characteristics

[0041] The channel monitoring module of the demodulation device collects the channel parameters of the current communication link in real time, including:

[0042] Time-varying characteristic parameters: Doppler frequency offset, channel coherence time;

[0043] Frequency selectivity characteristic parameters: delay spread, channel coherence bandwidth;

[0044] Fading depth characteristic parameter: received signal power fluctuation value.

[0045] Step 2: Adaptive decision-making for auxiliary pilot parameters

[0046] Based on the channel parameters collected in step 1, a dynamic adjustment strategy is generated through the pilot optimization decision module, which specifically includes:

[0047] Time-domain density adjustment: If the Doppler frequency offset is greater than the preset threshold or the channel coherence time is less than the preset threshold, it indicates that the channel time-varying is severe. The time-domain interval of the auxiliary pilot is reduced by a factor of m (m≥1.5, the specific factor is dynamically calculated by the offset, such as the larger the Doppler frequency offset, the larger the factor) to increase the time-domain sampling density; conversely, the time-domain interval is increased to reduce pilot overhead.

[0048] Frequency domain spacing adjustment: If the delay spread is greater than the preset threshold or the channel coherence bandwidth is less than the preset threshold, it indicates that the channel frequency selective fading is significant. The frequency domain spacing of the auxiliary pilot is reduced by a factor of n (n≥1.5, similarly, the larger the delay spread, the larger the factor) to increase the frequency domain sampling density; conversely, the frequency domain spacing is increased to save frequency domain resources.

[0049] Power adaptive configuration: For fading depth characteristic parameters, if the characteristic parameters are greater than the preset threshold, the auxiliary pilot power at the corresponding time-frequency position is increased by a factor of k (k = 2 to 5, determined by the absolute value of the characteristic parameters) to enhance the pilot anti-fading capability; if the characteristic parameters are less than the preset threshold, the pilot power is reduced to the basic value to avoid power waste.

[0050] Synchronization-Estimation Fusion Sequence Design: The auxiliary pilot sequence is designed as a two-segment structure of "synchronization prefix + estimation core segment".

[0051] The synchronization prefix uses a pseudo-random sequence with high autocorrelation for timing synchronization (location by sequence autocorrelation peak) and frequency synchronization (frequency offset calculated by phase difference) during the demodulation process.

[0052] The core segment is estimated using an orthogonal sequence with a low peak-to-average ratio for accurate channel estimation; the two segments are connected by a preset code pattern to ensure that the demodulation end can be parsed synchronously.

[0053] Step 3: Pilot configuration dynamic update and demodulation coordination

[0054] The pilot optimization module of the demodulation device feeds back the parameter adjustment strategy (time-domain density, frequency-domain interval, power, fusion sequence) generated in step 2 to the transmitting end in real time. The transmitting end updates the auxiliary pilot configuration according to the adjusted parameters, realizing the closed-loop dynamic adaptation of "channel state - pilot configuration".

[0055] When the demodulation end receives a signal, it first completes timing and frequency synchronization calibration through the synchronization prefix of the auxiliary pilot, and then performs channel estimation based on the estimated core segment. The synchronization-estimation process is executed collaboratively to reduce the redundancy of demodulation steps.

[0056] The implementation example process of this invention is as follows:

[0057] 1. Channel monitoring: The demodulation device collects channel parameters in real time and detects that the Doppler frequency offset f_d = 800 Hz (> f0 = 500 Hz), the channel coherence time T_c = 0.8 ms (< T0 = 1 ms), the delay spread τ = 120 ns (> τ0 = 100 ns), and the fading depth ΔP = 12 dB (> ΔP0 = 10 dB).

[0058] 2. Pilot optimization decision:

[0059] Time-domain density: Due to the excessive f_d and insufficient T_c, the time-domain interval of the auxiliary pilot is reduced from the original 1 ms to 0.5 ms (m = 2).

[0060] Frequency-domain interval: Due to the excessive τ, the frequency-domain interval is reduced from the original 2 MHz to 1 MHz (n = 2).

[0061] Power configuration: Since ΔP = 12 dB, the pilot power at the corresponding position is increased by 3 times.

[0062] Sequence design: The synchronization prefix uses a 32-bit improved m sequence (autocorrelation peak ≥ 0.9), and the estimated core segment uses a 64-bit Zadoff-Chu sequence (peak-to-average ratio ≤ 3 dB).

[0063] 3. Dynamic update and demodulation: The transmitting end updates the pilot according to the adjusted parameters. After the demodulation end receives it, it completes timing synchronization (error ≤ 10 ns) and frequency synchronization (frequency offset compensation accuracy ≤ 1 Hz) through the synchronization prefix, and then completes channel estimation through the estimated core segment. It is expected that the resource overhead will be effectively reduced.

[0064] In summary, the auxiliary pilot adaptive optimization method provided in this application solves the problems of static configuration of existing auxiliary pilots, resource waste, and single function. By perceiving the channel state in real time, dynamically adjusting the parameters of the auxiliary pilot, and integrating the synchronization function, the demodulation performance and resource utilization rate are improved.

[0065] See Figure 2 , this embodiment of the application can also provide an auxiliary pilot adaptive optimization device, such as Figure 2 As shown, the apparatus for performing the above-described auxiliary pilot adaptive optimization method may include:

[0066] The channel dynamic characteristics real-time acquisition unit 201 is used to acquire the channel parameters of the current communication link collected by the channel monitoring module of the demodulation device;

[0067] The auxiliary pilot parameter adaptive decision unit 202 is used to generate a dynamic adjustment strategy based on the channel parameters through the pilot optimization decision module. The dynamic adjustment strategy includes time-domain density adjustment, frequency-domain spacing adjustment, power adaptive configuration, and fusion sequence design. The fusion sequence includes a two-segment sequence structure of a synchronization prefix segment and an estimated core segment. The two-segment sequence structure is connected by a preset code pattern to ensure that the demodulation end can be parsed synchronously.

[0068] The pilot configuration dynamic update and demodulation coordination unit 203 is used to use the pilot optimization module of the demodulation device to feed back the parameter adjustment strategy to the transmitter in real time, so that the transmitter can update the auxiliary pilot configuration according to the adjusted parameters, thereby realizing closed-loop dynamic adaptation from channel state to pilot configuration; so that when the demodulation end receives the signal, it first completes timing and frequency synchronization calibration through the synchronization prefix of the auxiliary pilot, and then performs channel estimation based on the estimated core segment.

[0069] This application embodiment can also provide an auxiliary pilot adaptive optimization device, the device including a processor and a memory:

[0070] The memory is used to store program code and transmit the program code to the processor;

[0071] The processor is used to execute the steps of the above-described auxiliary pilot adaptive optimization method according to the instructions in the program code.

[0072] like Figure 3 As shown in the illustration, an auxiliary pilot adaptive optimization device provided in this application embodiment may include: a processor 10, a memory 11, a communication interface 12, and a communication bus 13. The processor 10, memory 11, and communication interface 12 all communicate with each other through the communication bus 13.

[0073] In this embodiment, the processor 10 may be a central processing unit (CPU), a graphics processing unit (GPU), an application-specific integrated circuit, a digital signal processor, a field-programmable gate array, or other programmable logic devices.

[0074] The processor 10 can call the program stored in the memory 11. Specifically, the processor 10 can execute the operations in the embodiment of the auxiliary pilot adaptive optimization method.

[0075] The memory 11 is used to store one or more programs. The programs may include program code, which includes computer operation instructions. In this embodiment, the memory 11 stores at least a program for implementing the following functions:

[0076] Obtain the channel parameters of the current communication link collected by the channel monitoring module of the demodulation device;

[0077] Based on the channel parameters, a dynamic adjustment strategy is generated through the pilot optimization decision module; the dynamic adjustment strategy includes time-domain density adjustment, frequency-domain spacing adjustment, power adaptive configuration, and fusion sequence design; the fusion sequence includes a two-segment sequence structure of a synchronization prefix segment and an estimated core segment; the two-segment sequence structure is connected by a preset code pattern to ensure that the demodulation end can be parsed synchronously;

[0078] The demodulation device's pilot optimization module feeds back the parameter adjustment strategy to the transmitter in real time, so that the transmitter updates the auxiliary pilot configuration according to the adjusted parameters, realizing closed-loop dynamic adaptation from channel state to pilot configuration; so that when the demodulation device receives the signal, it first completes timing and frequency synchronization calibration through the synchronization prefix of the auxiliary pilot, and then performs channel estimation based on the estimated core segment.

[0079] In one possible implementation, the memory 11 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function (such as file creation or data read / write). The data storage area may store data created during use, such as initialization data.

[0080] In addition, memory 11 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0081] Communication interface 12 can be an interface for a communication model, used to connect with other devices or systems.

[0082] Of course, it should be noted that, Figure 3 The structure shown does not constitute a limitation on the auxiliary pilot adaptive optimization device in the embodiments of this application. In practical applications, the auxiliary pilot adaptive optimization device may include more than Figure 3 More or fewer components as shown, or combinations of certain components.

[0083] This application embodiment may also provide a computer-readable storage medium for storing program code for executing the steps of the above-described auxiliary pilot adaptive optimization method.

[0084] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0085] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of this application.

[0086] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to the descriptions in the method embodiments. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0087] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. An auxiliary pilot adaptive optimization method, characterized in that, include: Obtain the channel parameters of the current communication link collected by the channel monitoring module of the demodulation device; Based on the channel parameters, a dynamic adjustment strategy is generated through the pilot optimization decision module; The dynamic adjustment strategy includes time-domain density adjustment, frequency-domain spacing adjustment, power adaptive configuration, and fusion sequence design; the fusion sequence includes a two-segment sequence structure consisting of a synchronization prefix segment and an estimated core segment; the two-segment sequence structure is connected by a preset code pattern to ensure that the demodulation end can be parsed synchronously; The demodulation device's pilot optimization module feeds back the parameter adjustment strategy to the transmitter in real time, so that the transmitter updates the auxiliary pilot configuration according to the adjusted parameters, realizing closed-loop dynamic adaptation from channel state to pilot configuration; so that when the demodulation device receives the signal, it first completes timing and frequency synchronization calibration through the synchronization prefix of the auxiliary pilot, and then performs channel estimation based on the estimated core segment.

2. The auxiliary pilot adaptive optimization method according to claim 1, characterized in that, The channel parameters include time-varying characteristic parameters, frequency-selective characteristic parameters, and fading depth characteristic parameters.

3. The auxiliary pilot adaptive optimization method according to claim 1, characterized in that, The time-domain density adjustment includes reducing the time-domain interval of the auxiliary pilot by a factor of m (m≥1.5) if the Doppler frequency offset is greater than a preset threshold or the channel coherence time is less than a preset threshold, thereby increasing the time-domain sampling density; conversely, increasing the time-domain interval to reduce pilot overhead.

4. The auxiliary pilot adaptive optimization method according to claim 1, characterized in that, The frequency domain spacing adjustment includes reducing the frequency domain spacing of the auxiliary pilot by a factor of n (n≥1.5) if the delay spread is greater than a preset threshold or the channel coherence bandwidth is less than a preset threshold, thereby increasing the frequency domain sampling density; conversely, increasing the frequency domain spacing to save frequency domain resources.

5. The auxiliary pilot adaptive optimization method according to claim 1, characterized in that, The power adaptive configuration includes, for the fading depth characteristic parameter, if the characteristic parameter is greater than a preset threshold, the auxiliary pilot power at the corresponding time-frequency position is increased by a factor of k, k = 2 to 5, to enhance the pilot anti-fading capability; If the characteristic parameter is less than the preset threshold, reduce the pilot power to the base value to avoid power waste.

6. The auxiliary pilot adaptive optimization method according to claim 1, characterized in that, The synchronization prefix segment uses a pseudo-random sequence with high autocorrelation for timing and frequency synchronization during demodulation; the estimation core segment uses an orthogonal sequence with low peak-to-average power ratio for accurate channel estimation.

7. An auxiliary pilot adaptive optimization device, characterized in that, The apparatus for performing the auxiliary pilot adaptive optimization method according to any one of claims 1-6, the apparatus comprising: The channel dynamic characteristics real-time acquisition unit is used to acquire the channel parameters of the current communication link collected by the channel monitoring module of the demodulation device; An auxiliary pilot parameter adaptive decision unit is used to generate a dynamic adjustment strategy based on the channel parameters through a pilot optimization decision module. The dynamic adjustment strategy includes time-domain density adjustment, frequency-domain spacing adjustment, power adaptive configuration, and fusion sequence design. The fusion sequence includes a two-segment sequence structure consisting of a synchronization prefix segment and an estimated core segment. The two-segment sequence structure is connected by a preset code pattern to ensure that the demodulation end can be parsed synchronously. The pilot configuration dynamic update and demodulation coordination unit is used to use the pilot optimization module of the demodulation device to feed back the parameter adjustment strategy to the transmitter in real time, so that the transmitter can update the auxiliary pilot configuration according to the adjusted parameters, thereby realizing closed-loop dynamic adaptation from channel state to pilot configuration; so that when the demodulation end receives the signal, it first completes timing and frequency synchronization calibration through the synchronization prefix of the auxiliary pilot, and then performs channel estimation based on the estimated core segment.

8. An auxiliary pilot adaptive optimization device, characterized in that, The device includes a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is configured to execute the auxiliary pilot adaptive optimization method according to any one of claims 1-6 according to the instructions in the program code.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store program code for executing the auxiliary pilot adaptive optimization method according to any one of claims 1-6.

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