Dynamic signal modulation method, device and equipment based on amplitude phase shift keying

Abstract

The application relates to a dynamic signal modulation method, device and equipment based on amplitude phase shift keying. The method comprises the following steps: obtaining original data of a dynamic signal. After the original data is encoded by using a forward error correction algorithm, the amplitude and the phase of the original data after the correction coding are obtained according to the channel state information at the current moment and a preset optimization target function, and a first dynamic signal is obtained. The first dynamic signal is input into a composite modulator to convert the amplitude phase shift keying modulation format, and amplitude phase shift keying modulation symbols are obtained. The amplitude and the phase corresponding to the amplitude phase shift keying modulation symbols are modulated respectively, and a second dynamic signal is generated. The modulation parameters of the second dynamic signal are optimized according to the bit error rate fed back by a receiving end and the signal-to-noise ratio at the current moment, the signal output interface is configured according to the optimized modulation parameters, and an optimal dynamic signal is output. By using the method, the spectrum utilization rate and the transmission stability of the dynamic signal can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication signal design, in particular to a dynamic signal modulation method, device and equipment based on amplitude phase shift keying. BACKGROUND

[0002] In the field of communication signal design, the demand for dynamic signal construction is growing, especially in application scenarios that are highly sensitive to bandwidth tolerance and transmission latency. Since deep space communication and geosynchronous orbit satellite communication often face extreme propagation delay and signal attenuation problems, although traditional phase shift keying (PSK) and quadrature amplitude modulation (QAM) techniques are widely used in traditional communication systems, they often appear to be inadequate when dealing with high spectral efficiency and signal strength requirements, and are not sufficient to meet the increasingly severe technical challenges. For example, binary phase shift keying (BPSK) and quadrature phase shift keying (QPSK) have good stability, but their spectral efficiency is low and they are not suitable for satellite communication environments where spectrum resources are scarce. While high-order QAM can provide higher spectral efficiency, it performs poorly in terms of signal strength and error rate, especially in deep space communication environments where signal attenuation is severe. In extreme communication environments such as deep space communication, stable transmission of signals is crucial, and high-order QAM modulation performs poorly in low signal-to-noise ratio (SNR) environments, is easily affected by path loss and multipath interference, and thus has poor spectral efficiency and high signal loss. SUMMARY

[0003] Therefore, it is necessary to provide a dynamic signal modulation method, device and equipment based on amplitude phase shift keying to improve spectral efficiency.

[0004] A dynamic signal modulation method based on amplitude phase shift keying, the method comprising:

[0005] Obtaining original data of a dynamic signal.

[0006] The amplitude and the phase of the original data after being encoded by using a forward error correction algorithm are obtained according to the channel state information at the current moment and a preset optimization objective function, and a first dynamic signal is obtained.

[0007] The first dynamic signal is input into a composite modulator to perform amplitude phase shift keying modulation format conversion, and an amplitude phase shift keying modulation symbol is obtained.

[0008] The amplitude and the phase corresponding to the amplitude phase shift keying modulation symbol are modulated respectively, and a second dynamic signal is generated.

[0009] The modulation parameters of the second dynamic signal are optimized according to the bit error rate fed back by the receiving end and the signal-to-noise ratio at the current moment, the signal output interface is configured according to the optimized modulation parameters, and an optimal dynamic signal is output.

[0010] An amplitude phase shift keying-based dynamic signal modulation device, the device comprising:

[0011] An original data acquisition module configured to acquire original data of a dynamic signal.

[0012] A first dynamic signal acquisition module configured to, after encoding the original data by using a forward error correction algorithm, obtain the amplitude and the phase of the original data after being corrected and encoded according to the channel state information at the current moment and a preset optimization objective function, and obtain a first dynamic signal.

[0013] A signal symbol modulation module configured to input the first dynamic signal into a composite modulator to perform amplitude phase shift keying modulation format conversion, and obtain an amplitude phase shift keying modulation symbol.

[0014] A second dynamic signal acquisition module configured to modulate the amplitude and the phase corresponding to the amplitude phase shift keying modulation symbol respectively, and generate a second dynamic signal.

[0015] A modulation module configured to optimize the modulation parameters of the second dynamic signal according to the bit error rate fed back by the receiving end and the signal-to-noise ratio at the current moment, configure a signal output interface according to the optimized modulation parameters, and output an optimal dynamic signal.

[0016] A computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the following steps when executing the computer program:

[0017] Acquiring original data of a dynamic signal.

[0018] After encoding the original data by using a forward error correction algorithm, the amplitude and the phase of the original data after being corrected and encoded are obtained according to the channel state information at the current moment and a preset optimization objective function, and a first dynamic signal is obtained.

[0019] The first dynamic signal is input to a composite modulator to perform conversion of an amplitude phase shift keying modulation format, and amplitude phase shift keying modulation symbols are obtained.

[0020] The amplitude and the phase corresponding to the amplitude phase shift keying modulation symbols are respectively modulated to generate a second dynamic signal.

[0021] The modulation parameters of the second dynamic signal are optimized according to a bit error rate fed back by a receiving end and a signal-to-noise ratio at a current moment, a signal output interface is configured according to the optimized modulation parameters, and an optimal dynamic signal is output.

[0022] A computer readable storage medium has a computer program stored thereon, and the computer program is executed by a processor to implement the following steps:

[0023] Original data of a dynamic signal is acquired.

[0024] After the original data is encoded by using a forward error correction algorithm, the amplitude and the phase of the corrected encoded original data are obtained according to channel state information at a current moment and a preset optimization objective function, and a first dynamic signal is obtained.

[0025] The first dynamic signal is input to a composite modulator to perform conversion of an amplitude phase shift keying modulation format, and amplitude phase shift keying modulation symbols are obtained.

[0026] The amplitude and the phase corresponding to the amplitude phase shift keying modulation symbols are respectively modulated to generate a second dynamic signal.

[0027] The modulation parameters of the second dynamic signal are optimized according to a bit error rate fed back by a receiving end and a signal-to-noise ratio at a current moment, a signal output interface is configured according to the optimized modulation parameters, and an optimal dynamic signal is output.

[0028] The above-mentioned dynamic signal modulation method, device and equipment based on amplitude phase shift keying first acquire original dynamic signal data from a sensor or a data source, and encode the original dynamic signal data by using a forward error correction algorithm (such as LDPC or Turbo code) to enhance the transmission reliability of the data in a noisy environment. Then, the current channel state (such as the signal-to-noise ratio and the interference condition) is evaluated in real time, and the amplitude and the phase of the encoded data are adjusted according to an optimization objective function (such as minimizing the bit error rate or maximizing the channel capacity) so that the encoded data reaches an optimal state. The optimized data is then input into a composite modulator (such as QAM or PSK) to be converted into amplitude phase shift keying modulation symbols, and a second dynamic signal for transmission is generated by modulating the corresponding amplitude and phase respectively. In order to further optimize, the bit error rate and the current signal-to-noise ratio are fed back by the receiving end, and the modulation parameters (such as the modulation order and the power allocation) are dynamically adjusted by the sending end based on the feedback information, so as to optimize the second dynamic signal. Finally, the signal output interface is adjusted according to the optimized modulation parameters, and the optimal dynamic signal after optimization is output. Through this method, the forward error correction coding reduces the transmission bit error rate and enhances the reliability of data transmission; the dynamic modulation optimization ensures the efficient use of spectrum resources, and adapts to complex channel changes by real-time adjustment, thereby improving the stability of signal transmission. In addition, the bit error rate and signal-to-noise ratio feedback mechanism enables the system to respond and adjust in time, thereby improving the anti-interference ability and the transmission quality. In summary, this technical solution effectively improves the spectrum utilization rate and the stability of signal transmission, and is especially suitable for extreme environments such as deep space communication, and is an effective solution to improve the performance of a communication system. BRIEF DESCRIPTION OF DRAWINGS

[0029] Figure 1 A flowchart of a dynamic signal modulation method based on amplitude phase shift keying in an embodiment;

[0030] Figure 2 A flowchart of data encoding and initial processing in an embodiment;

[0031] Figure 3 A flowchart of processing a signal in an embodiment;

[0032] Figure 4 A block diagram of a dynamic signal modulation device based on amplitude phase shift keying in an embodiment;

[0033] Figure 5 An internal structure diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0034] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0035] In one embodiment, as shown in Figure 1 A dynamic signal modulation method based on amplitude phase shift keying is provided, comprising the following steps:

[0036] Step 102, obtaining the original data of the dynamic signal.

[0037] Specifically, the original data of the dynamic signal of a near-Earth asteroid collected in a deep space mission of a satellite probe includes spectral data, high-resolution images, and sensor readings. The spectral data, 320 KB, records the spectral characteristics of the asteroid. The image data, 1 MB, shows the surface features of the asteroid in high-resolution images. The sensor readings, 160 KB, include temperature, chemical composition, and other data. The total data volume is 1.48 MB.

[0038] Step 104, after encoding the original data using the forward error correction algorithm, the amplitude and phase of the corrected encoded original data are obtained according to the current channel state information and the preset optimization objective function, and the first dynamic signal is obtained.

[0039] Specifically, efficient forward error correction (FEC) algorithms such as low-density parity-check codes (LDPC) or turbo codes are used to encode the original data:

[0040]

[0041] where R is the code rate, k is the length of the original data, and n is the length of the encoded code word. The code rate R is selected to be 1 / 4, i.e., 4 bits of encoded data will be generated for every 1 bit of original data to enhance the error correction capability of the original data. The encoded data volume is 1.48*4 = 5.92 MB, and the code rate is

[0042]

[0043] Further, based on the current channel state information (CSI), a comprehensive characteristic evaluation of the channel is performed, including but not limited to attenuation rate, noise level, multipath effect, and channel frequency response. These data are obtained through advanced channel measurement tools and algorithms.

[0044] Further, based on the real-time analysis of the communication environment, the carrier frequency is dynamically adjusted fcTo adapt to the changes in the spectrum environment and maximize channel capacity, by monitoring the signal-to-noise ratio (SNR) and interference level of the channel in real time, the amplitude and phase settings are adjusted adaptively, the signal transmission is optimized using adaptive filtering algorithms and prediction models, and the optimal transmission quality is maintained in a dynamically changing environment.

[0045] Further, the optimal amplitude A and optimal phase φ of the first dynamic signal are calculated by an iterative algorithm (such as gradient descent). According to the channel state information at the current time (including the path loss model and the characteristics of the expected signal attenuation) and the preset amplitude adjustment scheme, the optimal amplitude is calculated. If the expected channel attenuation is high, the amplitude will be increased accordingly to compensate for the loss:

[0046] A opt =A0·e -αL

[0047] Where A opt is the optimal amplitude, A0 is the baseline amplitude, and α is the attenuation coefficient, and L is the transmission distance. Further, the phase pre-compensation technique is used to calculate the optimal phase according to the phase offset caused by the current channel and the preset phase adjustment scheme:

[0048] φ new =φ original -φ channel

[0049] Where φ new is the optimal phase, φ original is the original phase, and φ channel is the phase offset caused by the current channel. The optimal phase and optimal amplitude are calculated by gradient descent iteration with the preset optimization objective function to obtain the amplitude and phase of the corrected original data, and the first dynamic signal is obtained.

[0050] Further, before modulation, a digital filter such as a finite impulse response (FIR, Finite Impulse Response) filter is used to match the characteristics of the communication channel, with a passband frequency set to 0.1 Hz to 3.0 kHz, to reduce high-frequency noise and unnecessary frequency components in the original data, and to optimize the spectral distribution of the first dynamic signal.

[0051] Further, pulse shaping techniques such as Gaussian filtering are used to improve the shape and quality of the modulated signal, resulting in the first dynamic signal:

[0052]

[0053] Wherein, A is the amplitude of the original data, φ is the phase of the original data, SNR is the signal-to-noise ratio at the current moment, SE is the spectral efficiency, BER is the bit error rate, w1, w2, w3 are weight factors respectively. After optimization, the amplitude A=0.85 and the phase φ=25° are selected to achieve the best transmission performance.

[0054] Step 106, input the first dynamic signal to the composite modulator for amplitude phase shift keying modulation format conversion to obtain amplitude phase shift keying modulation symbols.

[0055] Define a composite symbol, each composite symbol is generated by combining a selected amplitude and phase:

[0056] s(t)=A k cos(2πf c t+φ k )

[0057] Wherein, A k is the selected amplitude, φ k is the phase corresponding to the selected amplitude, f c is the carrier frequency.

[0058] Specifically, the first dynamic signal is input to the composite modulator for amplitude phase shift keying modulation format conversion, and the amplitude and phase values corresponding to each data point are extracted from the mapping table to make the amplitude and phase of the first dynamic signal in 32-APSK mode. Calculate the time domain representation of each symbol to generate amplitude phase shift keying modulation symbols:

[0059]

[0060] Wherein, s(t) is the amplitude phase shift keying modulation symbol in 32-APSK mode at the current t moment, A i is a discrete set of amplitudes of the first dynamic signal, φi is a discrete set of phases of the first dynamic signal, is the exponential form of a complex number, fc is the carrier frequency of the first dynamic signal.

[0061] Step 108, respectively modulate the amplitude and phase corresponding to the amplitude phase shift keying modulation symbol to generate the second dynamic signal.

[0062] Specifically, according to the data encoding and initial processing steps described above, all generated composite symbols are arranged according to a specific time interval to form a signal vector, and the data is encoded and ready for modulation. At this stage, the modulator receives the data of the first dynamic signal after encoding: signal type: 32-APSK modulation, initial transmission power: 100 Watts, initial signal-to-noise ratio (SNR): 30 dB, initial bit error rate (BER): 0.001%, initial frequency (Carrier Frequency): 2 GHz, data volume: 5.92 MB for amplitude phase shift keying (APSK) modulation.

[0063] Further, the modulator includes a digital signal processor (DSP) and a modulation integrated circuit (Modulation IC), which are responsible for processing encoded data and converting it into a second dynamic signal that can be generated in 32-APSK mode.

[0064] Step 110, according to the bit error rate feedback from the receiving end and the signal-to-noise ratio at the current time, optimize the modulation parameters of the second dynamic signal, configure the signal output interface according to the optimized modulation parameters, and output the optimal dynamic signal.

[0065] Specifically, by monitoring the signal-to-noise ratio (SNR) of the system and the bit error rate (BER) feedback from the receiving end in real time, the amplitude and phase settings are dynamically adjusted, and pulse shaping techniques such as Gaussian filtering are applied to optimize the bandwidth usage of the signal and reduce interference of the transmitted signal. If the signal quality is detected to decrease, the modulation parameters will be adjusted immediately to adapt to the current communication environment. Before the signal is output, the modulation parameters are adjusted using a feedforward and feedback mechanism, and the modulation process is dynamically optimized according to the BER data feedback from the receiving end, so that the system can preventively adjust before the signal quality decreases, reducing data loss and transmission errors.

[0066] Further, the modulated second dynamic signal is output to the transmission medium, such as radio waves or satellite links, through an advanced interface. The output design of the modulator supports multiple standards and interfaces, including the latest wireless communication protocols and standards such as 5G NR and satellite communication standards, and converts the digital signal vector into an analog signal, ready for wireless transmission.

[0067] In the above dynamic signal modulation method based on amplitude phase shift keying, first, the original dynamic signal data is obtained from the sensor or data source, and a forward error correction algorithm (such as LDPC or Turbo code) is used for encoding to enhance the transmission reliability of the data in a noisy environment. Then, the current channel state (such as signal-to-noise ratio and interference situation) is evaluated in real time, and the amplitude and phase of the encoded data are adjusted according to the optimization objective function (such as minimizing the bit error rate or maximizing the channel capacity) to achieve the optimal state. These optimized data are then input into a composite modulator (such as QAM or PSK) to convert them into amplitude phase shift keying modulation symbols, which are modulated by corresponding amplitude and phase to generate a second dynamic signal for transmission. In order to further optimize, the bit error rate and current signal-to-noise ratio are fed back by the receiving end, and the modulation parameters (such as modulation order and power allocation) are dynamically adjusted by the sending end based on the feedback information, so as to optimize the second dynamic signal. Finally, the signal output interface is adjusted according to the optimized modulation parameters to output the optimized optimal dynamic signal. Through this method, the forward error correction coding reduces the transmission error rate and enhances the reliability of data transmission; the dynamic modulation optimization ensures the efficient use of spectrum resources and adapts to complex channel changes through real-time adjustment, improving the stability of signal transmission. In addition, the bit error rate and signal-to-noise ratio feedback mechanism enables the system to respond and adjust in a timely manner, improving the anti-interference ability and transmission quality. In summary, this technical solution effectively improves the spectrum utilization and stability of signal transmission, and is especially suitable for extreme environments such as deep space communication, and is an effective solution to improve the performance of communication systems.

[0068] In one embodiment, the original data of the near-Earth asteroid dynamic signal is collected by a satellite probe.

[0069] In one embodiment, the original data is encoded according to the set encoding rate using a turbo code forward error correction algorithm:

[0070]

[0071] where R is the encoding rate, k is the length of the original data, and n is the length of the encoded code word;

[0072] According to the channel state information at the current time and the preset optimization objective function, gradient descent iterative calculation is performed to obtain the amplitude and phase of the original data, and a first dynamic signal is obtained:

[0073]

[0074] where A is the amplitude of the original data, φ is the phase of the original data, SNR is the signal-to-noise ratio at the current time, SE is the spectral efficiency, BER is the bit error rate, and w1, w2, w3 are weight factors.

[0075] In one embodiment, the first dynamic signal is input to a composite modulator for conversion of amplitude phase shift keying modulation format, so that the amplitude and phase of the first dynamic signal generate amplitude phase shift keying modulation symbols in APSK mode:

[0076]

[0077] Wherein s(t) is the amplitude phase shift keying modulation symbol in 32-APSK mode at the current time t, A i is a discrete set of amplitudes of the first dynamic signal, φi is a discrete set of phases of the first dynamic signal, is the exponential form of a complex number, fc is the carrier frequency of the first dynamic signal.

[0078] It is worth noting that the amplitude is adjusted to optimize the relationship between the transmission power of the signal and the channel attenuation, so as to minimize the overall energy consumption while ensuring the detectability of the signal at the receiving end. The phase is adjusted to offset the phase distortion caused by the channel, especially in multipath conditions, where the phase difference of different paths may cause signal phase superposition error, affecting the recovery accuracy of data.

[0079] In one embodiment, after removing the high-frequency noise of the encoded original data by an impulse response filter, Gaussian filtering is used for pulse shaping to complete the preprocessing of the first dynamic signal.

[0080] In one embodiment, the amplitude corresponding to the amplitude phase shift keying modulation symbol is re-distributed according to a preset amplitude level threshold, and the phase corresponding to the amplitude phase shift keying modulation symbol is re-encoded according to a preset phase offset threshold, and then the second dynamic signal is generated.

[0081] In one embodiment, the modulation parameters of the second dynamic signal are optimized according to the bit error rate fed back by the receiving end and the signal-to-noise ratio at the current time:

[0082]

[0083] Wherein P new is the optimized transmission power, P current is the power of the second dynamic signal at the current time, RSSI target is the target signal strength indication of the receiving end, RSSI actual is the signal strength indication of the second dynamic signal at the current time, and α is an adjustment coefficient. The signal output interface is configured according to the optimized modulation parameters and transmission evaluation index using advanced error correction technology, and the optimal dynamic signal is output.

[0084] In one embodiment, as Figure 2As shown, a data encoding and initial processing flow is provided, starting from the forward error correction (FEC) encoding of the raw data, a coding rate of 1 / 4 is chosen for processing, expanding the raw data of 1.48 MB to 5.92 MB to enhance the ability of the data to resist channel interference during transmission. On this basis, the amplitude and phase of the data are preprocessed, the amplitude is set to 0.85, and the phase is adjusted to 25°. Such adjustment is based on detailed analysis of the characteristics of the channel, considering the attenuation and phase shift of the channel, to ensure the stability and efficiency of the signal in actual transmission.

[0085] Then, the signal is processed through a finite impulse response (FIR) filter, with the passband frequency set between 0.1 Hz and 3.0 kHz, this step is to optimize the spectral characteristics of the signal, reduce the interference outside the frequency band, and improve the bandwidth utilization of the signal. Through this filtering process, the frequency response of the signal is smoothed, effectively reducing the loss of high frequency part, enhancing the overall transmission performance of the signal.

[0086] The final stage involves converting the processed complex symbols into a signal vector, ready for transmission. This includes arranging all processed complex symbols in a specific time interval and order to form a complete signal vector. This vector contains all the necessary signal information and is the data carrier that is finally sent through the communication channel. The construction of the signal vector accurately reflects the results of the pre-processing and digital processing stages, directly affecting the efficiency and accuracy of data transmission.

[0087] In one embodiment, as shown in Figure 3 the flow of processing the signal is provided, starting from the beginning of the flow chart, that is, "receive the encoding of the original data", the original data is first encoded by forward error correction (FEC), this process adds redundant data to enhance the reliability and error recovery ability of the data packet during transmission. Then, these encoded data are selected and adjusted by the channel state information feedback mechanism, to adapt to the changes of the current channel conditions. The key here is the "channel state information feedback" link, which adjusts the data transmission strategy according to the real-time feedback of the channel. This includes adjusting the amplitude and phase settings to optimize the transmission characteristics of the signal, which directly affects the subsequent steps such as the generation of complex symbols and the construction of the final signal vector. Specifically, the adjustment of amplitude and phase is based on the attenuation model of the channel and the expected signal interference, the amplitude adjustment ensures that the signal has enough strength when it reaches the receiving end, and the phase adjustment is to minimize the phase distortion caused by the channel.

[0088] Further, the step of "generating complex symbols" involves converting the adjusted amplitude and phase values into complex symbols that can effectively carry and transmit the desired information. Each complex symbol is composed of a specific amplitude and phase combination, and its generation depends on the adjustment decisions made in the previous step.

[0089] Finally, the complex symbols are subjected to digital-to-analog conversion (DAC) and optimized for their spectral characteristics through advanced filtering processes, typically using band-pass filters to ensure signal clarity and accuracy during transmission. In the final step of "signal vector construction", all complex symbols are organized into a continuous signal vector, which is then sent to the communication channel.

[0090] It should be understood that, although Figures 1-3 the steps in the flowchart of FIG. 1 are shown in sequential order, such that one step necessarily precedes another, the steps do not necessarily have to be executed in the order indicated by the arrows. Unless specifically stated in this document, execution of the steps is not necessarily limited to the order in which the steps are presented in this figure. Moreover, Figures 1-3 at least some of the steps in FIG. 1 can include multiple sub-steps or stages, which are not necessarily executed at the same time, and which can be executed in different orders, in parallel or alternately with at least some of the other steps or sub-steps or stages of other steps.

[0091] In one embodiment, as shown in FIG. 2, a dynamic signal modulation device based on amplitude phase shift keying is provided, comprising: an original data acquisition module 202, a first dynamic signal acquisition module 204, a signal symbol modulation module 206, a second dynamic signal acquisition module 208, and a modulation module 210, wherein: Figure 4

[0092] The original data acquisition module 202 is configured to acquire original data of a dynamic signal.

[0093] The first dynamic signal acquisition module 204 is configured to, after encoding the original data using a forward error correction algorithm, acquire the amplitude and phase of the corrected encoded original data according to the channel state information at the current time and a preset optimization objective function, to obtain a first dynamic signal.

[0094] The signal symbol modulation module 206 is configured to input the first dynamic signal into a complex modulator to convert the amplitude phase shift keying modulation format, to obtain amplitude phase shift keying modulation symbols.

[0095] The second dynamic signal acquisition module 208 is configured to modulate the amplitude and phase corresponding to the amplitude phase shift keying modulation symbols respectively, to generate a second dynamic signal.​

[0096] The modulation module 410 is configured to optimize the modulation parameter of the second dynamic signal according to the bit error rate fed back by the receiving end and the signal-to-noise ratio at the current moment, configure the signal output interface according to the optimized modulation parameter, and output the optimal dynamic signal.

[0097] The specific limitation of the dynamic signal modulation device based on the amplitude phase shift keying can be referred to the limitation of the dynamic signal modulation method based on the amplitude phase shift keying, which will not be repeated here. Each module in the dynamic signal modulation device based on the amplitude phase shift keying can be realized by software, hardware, and a combination thereof, in whole or in part. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to each module.

[0098] In one embodiment, a computer device is provided, which can be a terminal, and the internal structure diagram thereof can be as shown in Figure 5 The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The network interface of the computer device is configured to communicate with external terminals through network connection. The computer program is executed by the processor to implement a dynamic signal modulation method based on amplitude phase shift keying. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball, or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0099] Those skilled in the art can understand that Figures 4-5 The structure shown in the above

[0100] In one embodiment, a computer device is provided, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the following steps:

[0101] Obtain the original data of the dynamic signal.

[0102] The first dynamic signal is input into a composite modulator to perform amplitude phase shift keying modulation format conversion, and amplitude phase shift keying modulation symbols are obtained.

[0103] The first dynamic signal is input into a composite modulator to perform amplitude phase shift keying modulation format conversion, and amplitude phase shift keying modulation symbols are obtained.

[0104] The amplitude and the phase corresponding to the amplitude phase shift keying modulation symbols are modulated respectively, and a second dynamic signal is generated.

[0105] The modulation parameters of the second dynamic signal are optimized according to the bit error rate fed back by the receiving end and the signal-to-noise ratio at the current moment, the signal output interface is configured according to the optimized modulation parameters, and an optimal dynamic signal is output.

[0106] In one embodiment, a computer readable storage medium is provided, and a computer program is stored on the computer readable storage medium. The computer program is executed by a processor to implement the following steps:

[0107] The original data of the dynamic signal is obtained.

[0108] The first dynamic signal is input into a composite modulator to perform amplitude phase shift keying modulation format conversion, and amplitude phase shift keying modulation symbols are obtained.

[0109] The first dynamic signal is input into a composite modulator to perform amplitude phase shift keying modulation format conversion, and amplitude phase shift keying modulation symbols are obtained.

[0110] The amplitude and the phase corresponding to the amplitude phase shift keying modulation symbols are modulated respectively, and a second dynamic signal is generated.

[0111] The modulation parameters of the second dynamic signal are optimized according to the bit error rate fed back by the receiving end and the signal-to-noise ratio at the current moment, the signal output interface is configured according to the optimized modulation parameters, and an optimal dynamic signal is output.

[0112] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiment methods can be included. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0113] Any combination of the technical features of the above embodiments can be made, and in order to make the description simple, not all possible combinations of the technical features in the above embodiments are described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0114] The above embodiments only express several embodiments of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A dynamic signal modulation method based on amplitude phase shift keying, characterized in that: The method comprises: Get the original data of dynamic signals; After encoding the original data using a forward error correction algorithm, the amplitude and phase of the corrected original data are obtained according to the current channel state information and a preset optimization objective function to obtain a first dynamic signal; Inputting the first dynamic signal into a composite modulator for conversion into an amplitude phase shift keying modulation format to obtain an amplitude phase shift keying modulation symbol; respectively modulating the amplitude and phase corresponding to the amplitude phase shift keying modulation symbol to generate a second dynamic signal; The modulation parameters of the second dynamic signal are optimized according to the bit error rate fed back by the receiving end and the signal-to-noise ratio at the current moment, and the signal output interface is configured according to the optimized modulation parameters to output the optimal dynamic signal.

2. The method according to claim 1, characterized in that Get the raw data of dynamic signals, including: The raw data of dynamic signals of near-Earth asteroids are collected through satellite probes.

3. The method according to claim 1, characterized in that After encoding the original data using a forward error correction algorithm, obtaining the amplitude and phase of the corrected original data according to the current channel state information and a preset optimization objective function to obtain a first dynamic signal includes: The original data is encoded using a turbo code with a forward error correction algorithm according to a set coding rate: Where R is the coding rate, k is the length of the original data, and n is the length of the encoded codeword; Perform gradient descent iterative calculation based on the current channel state information and the preset optimization objective function to obtain the amplitude and phase of the original data to obtain a first dynamic signal: Where A is the amplitude of the original data, φ is the phase of the original data, SNR is the signal-to-noise ratio at the current moment, SE is the spectrum efficiency, BER is the bit error rate, and w1, w2, and w3 are weight factors, respectively.

4. The method according to claim 3, characterized in that The composite modulator includes: a digital signal processor and a modulation integrated circuit; Inputting the first dynamic signal into a composite modulator for converting an amplitude phase shift keying modulation format to obtain an amplitude phase shift keying modulation symbol includes: Inputting the first dynamic signal into a composite modulator for conversion into an amplitude phase shift keying (APMK) modulation format, so that the amplitude and phase of the first dynamic signal generate APMK modulation symbols in an APSK mode: Among them, s(t) is the amplitude phase shift keying modulation symbol in APSK mode at the current time t, A i is the discrete set of amplitudes of the first dynamic signal, φi is the discrete set of phases of the first dynamic signal, is the exponential form of a complex number, fc is the carrier frequency of the first dynamic signal.

5. The method according to claim 4, characterized in that Before the step of inputting the first dynamic signal into the composite modulator for converting the amplitude phase shift keying modulation format to obtain the amplitude phase shift keying modulation symbol, the method further includes: After removing high-frequency noise of the encoded original data by a limited impulse response filter, Gaussian filtering is used to perform pulse shaping to complete the preprocessing of the first dynamic signal.

6. The method according to claim 4, characterized in that Respectively modulating the amplitude and phase corresponding to the amplitude phase shift keying modulation symbol to generate a second dynamic signal, including: The amplitude corresponding to the APSK modulation symbol is reallocated according to a preset amplitude level threshold, and the phase corresponding to the APSK modulation symbol is re-encoded according to a preset phase offset threshold, thereby generating a second dynamic signal.

7. The method according to claim 6, characterized in that Optimizing the modulation parameters of the second dynamic signal according to the bit error rate fed back by the receiving end and the signal-to-noise ratio at the current moment, configuring the signal output interface according to the optimized modulation parameters, and outputting the optimal dynamic signal, including: The modulation parameters of the second dynamic signal are optimized according to the bit error rate fed back by the receiving end and the signal-to-noise ratio at the current moment: P new =P current ×(1+α×(RSSI target -RSSI actual )) Among them, P new is the optimized transmission power, P current is the power of the second dynamic signal at the current moment, RSSI target RSSI is the target signal strength indicator at the receiving end actual is the signal strength indicator of the second dynamic signal at the current moment, and α is the adjustment coefficient; Advanced error correction technology is used to configure the signal output interface according to the optimized modulation parameters and transmission evaluation indicators to output the optimal dynamic signal.

8. A dynamic signal modulation device based on amplitude phase shift keying, characterized in that: The device comprises: A raw data acquisition module, used to acquire raw data of dynamic signals; a first dynamic signal acquisition module, configured to encode the original data using a forward error correction algorithm, and then obtain the amplitude and phase of the corrected original data according to the current channel state information and a preset optimization objective function to obtain a first dynamic signal; A signal symbol modulation module, configured to input the first dynamic signal into a composite modulator for conversion into an amplitude phase shift keying (APM) modulation format to obtain an APM modulation symbol; A second dynamic signal acquisition module is used to modulate the amplitude and phase corresponding to the amplitude phase shift keying modulation symbol respectively to generate a second dynamic signal; The modulation module is used to optimize the modulation parameters of the second dynamic signal according to the bit error rate fed back by the receiving end and the signal-to-noise ratio at the current moment, configure the signal output interface according to the optimized modulation parameters, and output the optimal dynamic signal.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images