A radar jamming self-decoupling communication method based on Rydberg atom heterodyne technology

Abstract

The present invention relates to the field of quantum communication technology, and more specifically to a radar interference self-decoupling communication method based on Rydberg atomic heterodyne technology. The method comprises establishing a theoretical model for detecting electric fields based on Rydberg heterodyne technology to obtain a temporal relationship between the intensity of the detection light at a receiver; establishing a theoretical model for detecting light signals at a Rydberg heterodyne receiver under the combined action of a communication and radar transmitter based on the temporal relationship between the intensity of the detection light at the receiver; and establishing a network-detector composite adaptive decoupling model to automatically switch decoupling modes according to the monitored radar signal power for radar signal decoupling. The method ensures accurate demodulation of communication signals in the presence of radar interference of varying powers, and the demodulation results are not limited by the accuracy of channel state estimation.

Description

Technical Field

[0001] The present invention relates to the field of quantum communication technology, and in particular to a radar interference self-decoupling communication method based on Rydberg atom heterodyne technology. Background Art

[0002] In communications applications, Rydberg atoms, with their subwavelength size, wide operating frequency range, and superior self-calibration, have replaced traditional antennas. Currently, receivers utilizing Rydberg atom heterodyne technology have demonstrated excellent performance in wireless communications using various modulation schemes. With the integration of communications and radar, spectrum sharing between S-band (2-4 GHz) communications and radar has become inevitable. When two systems transmit signals using the same spectrum, interference from radar signals can compromise communication quality.

[0003] How to accurately extract transmission information from signals containing radar interference is the core issue of communication applications in the context of spectrum sharing based on Rydberg atom heterodyne technology: the detection process of communication signals is converted into a multi-classification problem through the deep neural network method. This method does not require channel estimation and shows good performance under complex channel conditions, but in the case of high-power radar interference, the bit error rate will be significantly improved; through traditional signal detectors, the information of the radar interference signal is estimated and removed from the received signal. This method has achieved good results in high-power radar interference estimation and elimination, but this method is highly dependent on channel state information, and the detection accuracy is affected by channel estimation. Summary of the Invention

[0004] In response to the above-mentioned deficiencies in the prior art, the present invention provides a radar interference self-decoupling communication method based on Rydberg atomic heterodyne technology to ensure accurate demodulation of communication signals in the presence of radar interference of different powers, and the demodulation results are not limited by the accuracy of channel state estimation.

[0005] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0006] A radar interference self-decoupling communication method based on Rydberg atom heterodyne technology comprises the following steps:

[0007] A theoretical model for detecting electric fields based on Rydberg heterodyne technology was established to obtain the relationship between the intensity of the detection light at the receiver and time.

[0008] Based on the relationship between the intensity of the detection light at the receiver and time, a theoretical model of the detection light signal at the Rydberg heterodyne receiver under the joint action of communication and radar transmitters is established, and the corresponding relationship between the communication modulation symbol and the intensity of the detection light at the receiver is obtained;

[0009] A network-detector composite adaptive decoupling model is established, and the decoupling mode is automatically switched according to the monitored radar signal power to perform radar signal decoupling.

[0010] Preferably, establishing a theoretical model for detecting electric fields based on Rydberg heterodyne technology includes:

[0011] The detection laser and the coupling laser are transmitted in opposite directions along overlapping optical paths through the atomic gas chamber to stimulate the Rydberg atoms to transition to the Rydberg energy level;

[0012] Applying a radio frequency electric field stimulates the Rydberg atomic transition, causing the EIT peak to produce AT splitting;

[0013] The radio frequency electric field is used as the local oscillator field LO, and another weak radio frequency electric field that is slightly detuned from the local oscillator field LO is applied as the signal field SIG. The sum of the electric fields of the local oscillator field LO and the signal field SIG is used as the total electric field of the atomic gas chamber to determine the total electric field strength in the gas chamber.

[0014] Preferably, the total electric field strength in the air chamber is:

[0015]

[0016] in, is the total electric field intensity in the gas chamber, E 1 is the electric field of the local oscillator LO, E 2 is the electric field of the signal field SIG, E LO is the amplitude of the local oscillator field LO, E SIG is the amplitude of the signal field SIG, is the frequency difference between the local oscillator field LO and the signal field SIG, t For time, is the relative phase between the local oscillator field LO and the signal field SIG.

[0017] Preferably, the relationship between the intensity of the detection light at the receiver and time is:

[0018]

[0019] in, I ( t ) is the intensity of the detection light at the receiver, is the total electric field intensity in the gas chamber, E LO is the amplitude of the local oscillator field LO, E SIG is the amplitude of the signal field SIG, is the frequency difference between the local oscillator field LO and the signal field SIG, t For time, is the relative phase between the local oscillator field LO and the signal field SIG.

[0020] Preferably, based on the relationship between the intensity of the detection light at the receiver and time, a theoretical model of the detection light signal at the Rydberg heterodyne receiver under the joint action of the communication and radar transmitters is established to obtain the corresponding relationship between the communication modulation symbol and the intensity of the detection light at the receiver, including:

[0021] The transmitter of Rydberg heterodyne technology is composed of local oscillator field and signal field microwave source, and the information transmission of communication transmitter and radar transmitter is carried out by modulating the signal field;

[0022] The communication transmitter is digitally modulated using a frequency shift keying modulation method to transmit symbols, and a communication transmitter model is established;

[0023] Considering the interference of pulse linear frequency modulation radar signal, a radar transmitter model is established;

[0024] Based on the communication transmitter model and the radar transmitter model, a theoretical model of the detection light signal at the Rydberg heterodyne receiver under the joint action of the communication and radar transmitters is established, and the corresponding relationship between the communication modulation symbol and the detection light intensity at the receiver is obtained.

[0025] Preferably, the correspondence between the communication modulation symbol and the intensity of the detection light at the receiver is:

[0026]

[0027] in, I ( t ) is the intensity of the detection light at the receiver, is the total electric field intensity in the gas chamber, is the total electric field of the communication transmitter in the air chamber, is the total electric field of the radar transmitter in the air chamber, is the electric field noise in the gas chamber, is the bias of the communication signal, is the bias of the radar signal, is the amplitude of the communication signal, is the communication signal frequency corresponding to the kth symbol, t For time, is the phase of the communication signal, is the amplitude of the radar signal, is the intermediate frequency of the radar signal, u To adjust the frequency, is the phase of the radar signal, is additive white Gaussian noise.

[0028] Preferably, a network-detector composite adaptive decoupling model is established, and a decoupling mode is automatically switched according to the monitored radar signal power to perform radar signal decoupling, including:

[0029] Establish a network-detector composite adaptive decoupling model;

[0030] Monitor radar signal power and calculate the SIR value of radar signal;

[0031] When the SIR value of the radar signal is greater than the set threshold, the network-detector composite adaptive decoupling model is switched to the weak radar interference decoupling mode at high SIR;

[0032] When the SIR value of the radar signal is less than or equal to the set threshold, the network-detector composite adaptive decoupling model is switched to the strong radar interference decoupling mode at low SIR.

[0033] Preferably, the weak radar interference decoupling mode at high SIR includes:

[0034] A deep learning network combining convolutional neural networks and long short-term memory networks is used as a detector for communication signals. Short-time Fourier transform is used to extract the time-frequency characteristics of the receiver's time-domain signal to obtain a time-frequency graph, which is then input into the deep learning network to extract the feature sequence.

[0035] The feature sequence is input into the long short-term memory layer to extract the timing features of the communication signal, and the timing features of the communication signal are mapped to multiple modulation categories to obtain the probability distribution of the frequency deviation of the communication signal.

[0036] Preferably, the strong radar interference decoupling mode at low SIR includes:

[0037] Initialize radar signal parameters and filter gain matrix;

[0038] Calculate error signal and gain vector;

[0039] The radar signal parameters and filter gain matrix are updated according to the error signal and gain vector until the parameter estimation converges.

[0040] Preferably, establishing a network-detector composite adaptive decoupling model includes:

[0041] Collect the detection signals of the Rydberg heterodyne receiver under various radar interference powers and communication frequency modulation symbols, and establish a small sample model data set;

[0042] Data cleaning and data enhancement processing for small sample model datasets;

[0043] The processed small sample model dataset is used to optimize the network-detector composite adaptive decoupling model.

[0044] The present invention has the following beneficial effects:

[0045] 1. The present invention establishes a Rydberg heterodyne receiver signal model for communication applications under the background of radar interference, constructs a multi-parameter mapping function for integrated communication signals, and provides a measurement and traceability method for large-scale radar power decoupling.

[0046] 2. The present invention establishes a network-traditional detector composite adaptive decoupling model, regularly monitors the channel and completes automatic mode switching, solving the problem of the inability to detect communication information in real time and with high performance in scenarios with unknown power radar interference.

[0047] 3. The present invention establishes a model database, provides feedback on the decoupling error under varying radar power, and dynamically adjusts the internal parameters of the decoupling model, thus having a stronger ability to adapt to environmental changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A flow chart of a radar interference self-decoupling communication method based on Rydberg atom heterodyne technology;

[0049] Figure 2 Schematic diagram of the integrated communication system based on Rydberg heterodyne technology;

[0050] Figure 3 Schematic diagram of radar interference self-decoupling process based on Rydberg heterodyne technology. DETAILED DESCRIPTION

[0051] The specific embodiments of the present invention are described below to facilitate understanding of the present invention by those skilled in the art. However, it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the appended claims, these changes are obvious, and all inventions and creations utilizing the concepts of the present invention are protected.

[0052] To address the current problem of accurate demodulation of communication information in the context of integrated communication radar, this invention provides a radar interference self-decoupling communication method and system based on Rydberg atom heterodyne technology. Based on the technical principle of Rydberg atom heterodyne detection of microwave electric fields, the system analyzes and processes the signal at the Rydberg receiver under radar interference. Signal decoupling schemes are designed for different radar interference powers, and real-time, automatic mode switching is achieved. This enables high-performance communication transmission using Rydberg atom heterodyne technology under a wide range of radar interference powers.

[0053] like Figure 1 As shown, an embodiment of the present invention provides a radar interference self-decoupling communication method based on Rydberg atom heterodyne technology, comprising the following steps S1 to S3:

[0054] S1. Establish a theoretical model for detecting electric fields based on the Rydberg heterodyne technique and obtain the relationship between the intensity of the detection light at the receiver and time.

[0055] In an optional embodiment of the present invention, the theoretical model for detecting electric fields based on the Rydberg heterodyne technique is established, including:

[0056] The detection laser and the coupling laser are transmitted in opposite directions along overlapping optical paths through the atomic gas chamber to stimulate the Rydberg atoms to transition to the Rydberg energy level;

[0057] Applying a radio frequency electric field stimulates the Rydberg atomic transition, causing the EIT peak to produce AT splitting;

[0058] The radio frequency electric field is used as the local oscillator field LO, and another weak radio frequency electric field that is slightly detuned from the local oscillator field LO is applied as the signal field SIG. The sum of the electric fields of the local oscillator field LO and the signal field SIG is used as the total electric field of the atomic gas chamber to determine the total electric field strength in the gas chamber.

[0059] like Figure 2 As shown, in this embodiment, the detection laser and the coupling laser are transmitted in opposite directions along the overlapping optical paths through the atomic gas chamber to excite the Rydberg atoms to transition to the Rydberg energy level. In one embodiment, the Rydberg atoms are selected as 133Cs atoms, the detection laser is tuned to 852nm wavelength, and the Cs atoms are excited from the ground state to the Rydberg energy level. Excited to the intermediate state Tune the coupled laser to 509 nm wavelength to excite the Cs atoms into the Rydberg state , the transmittance of the detection laser through the atomic gas chamber increases, and an EIT signal appears in the photodetector. The power of the detection laser is , the power of the coupled laser is 30mW.

[0060] At this time, applying a 2.911 GHz radio frequency electric field will cause Cs atoms to Jump to , the EIT peak produces AT splitting. The radio frequency electric field that resonates with the Rydberg transition is used as the local oscillator field LO, and another weak radio frequency electric field that is slightly detuned from LO is applied as the signal field SIG. At this time, the total electric field of the atomic gas chamber is the sum of the LO and SIG fields. Assuming the LO field is , SIG field is , when the difference between the two frequencies Much smaller than its average frequency When , the total electric field intensity in the gas chamber can be expressed as:

[0061]

[0062] in, is the total electric field intensity in the gas chamber,E 1 is the electric field of the local oscillator LO, E 2 is the electric field of the signal field SIG, E LO is the amplitude of the local oscillator field LO, E SIG is the amplitude of the signal field SIG, is the frequency difference between the local oscillator field LO and the signal field SIG, t For time, is the relative phase between the local oscillator field LO and the signal field SIG.

[0063] Using the magnetic susceptibility of the optical medium , we can get the transition coefficient of the detection light passing through the vapor pool , further calculate the detection light intensity detected by the photodetector I :

[0064]

[0065] in, To detect the intensity of light before it enters the atomic gas chamber, L is the length of the air chamber, is the wavelength of the detection light. In the resonance field, the detection light intensity Proportional to the electric field strength, since the SIG field strength is much smaller than the LO field strength ( ), the change of the detection light intensity over time can be expressed as follows:

[0066]

[0067] in, I ( t ) is the intensity of the detection light at the receiver, is the total electric field intensity in the gas chamber, E LO is the amplitude of the local oscillator field LO, E SIG is the amplitude of the signal field SIG, is the frequency difference between the local oscillator field LO and the signal field SIG, t For time, is the relative phase between the local oscillator field LO and the signal field SIG.

[0068] It can be concluded that under the combined action of the LO and SIG fields, an intermediate frequency signal will be observed on the Rydberg heterodyne receiver. The frequency of the intermediate frequency signal corresponds to the frequency difference between the local oscillator field LO and the signal field SIG. , the phase corresponds to the relative phase of the local oscillator field LO and the signal field SIG .

[0069] S2. Based on the relationship between the intensity of the detection light at the receiver and time, a theoretical model of the detection light signal at the Rydberg heterodyne receiver under the joint action of the communication and radar transmitters is established, and the corresponding relationship between the communication modulation symbol and the intensity of the detection light at the receiver is obtained;

[0070] In an optional embodiment of the present invention, this embodiment establishes a theoretical model of the detection light signal at a Rydberg heterodyne receiver under the combined action of communication and radar transmitters based on the relationship between the change in the detection light intensity at the receiver over time, and obtains the corresponding relationship between the communication modulation symbol and the detection light intensity at the receiver, including:

[0071] The transmitter of Rydberg heterodyne technology is composed of local oscillator field and signal field microwave source, and the information transmission of communication transmitter and radar transmitter is carried out by modulating the signal field;

[0072] The communication transmitter is digitally modulated using a frequency shift keying modulation method to transmit symbols, and a communication transmitter model is established;

[0073] Considering the interference of pulse linear frequency modulation radar signal, a radar transmitter model is established;

[0074] Based on the communication transmitter model and the radar transmitter model, a theoretical model of the detection light signal at the Rydberg heterodyne receiver under the joint action of the communication and radar transmitters is established, and the corresponding relationship between the communication modulation symbol and the detection light intensity at the receiver is obtained.

[0075] The transmitter of Rydberg heterodyne technology consists of a local oscillator field and a signal field microwave source. Both communication and radar transmitters transmit information by modulating the signal field. In the embodiment, narrowband radar interference in a single-input single-output communication system is considered. For the communication transmitter, a frequency shift keying (FSK) modulation scheme is used. The transmitted symbols are digitally modulated to represent K possibilities, of which the first k The possible passband equivalent signals can be expressed as:

[0076]

[0077] in, is the total electric field strength of the communication transmitter in the gas chamber, is the bias of the communication signal, is the amplitude of the communication signal, For the k The communication signal frequency corresponding to the symbol, t For time, is the phase of the communication signal, is the communication duration. The bias of the communication signal ,amplitude and phase are constant. kThe communication signal frequency corresponding to the symbol can be expressed as ,in is the intermediate frequency of the communication signal, The frequency offset value for each symbol.

[0078] For radar transmitters, the main consideration is the interference of pulse linear frequency modulation (LFM) radar signals, whose model can be written in the form of a sine function as follows:

[0079]

[0080] in, is the total electric field strength of the radar transmitter in the gas chamber, is the bias of the radar signal, is the amplitude of the radar signal, is the intermediate frequency of the radar signal, t For time, u To adjust the frequency, is the phase of the radar signal, is the duration of the pulse. The offset of the radar signal is constant, the amplitude and phase is unknown, u is the frequency modulation, defined as ,in B is the signal bandwidth, is the duration of the pulse. Under the combined action of the communication and radar transmitters, the signal at the Rydberg heterodyne receiver can be approximately expressed as:

[0081]

[0082] in, I ( t ) is the intensity of the detection light at the receiver, is the total electric field intensity in the gas chamber, is the total electric field of the communication transmitter in the air chamber, is the total electric field of the radar transmitter in the air chamber, is the electric field noise in the gas chamber, is the bias of the communication signal, is the bias of the radar signal, is the amplitude of the communication signal, is the communication signal frequency corresponding to the kth symbol, t For time, is the phase of the communication signal, is the amplitude of the radar signal, is the intermediate frequency of the radar signal, u To adjust the frequency, is the phase of the radar signal, It means the mean is zero and the variance is Additive white Gaussian noise.

[0083] It can be concluded that the signal at the Rydberg heterodyne receiver can be approximately modeled as a combination of two cosine signals of different frequencies with a fixed offset and Gaussian noise.

[0084] S3. Establish a network-detector composite adaptive decoupling model and automatically switch the decoupling mode according to the monitored radar signal power to decouple the radar signal.

[0085] In an optional embodiment of the present invention, this embodiment establishes a network-detector composite adaptive decoupling model and automatically switches the decoupling mode according to the monitored radar signal power to perform radar signal decoupling, including:

[0086] Establish a network-detector composite adaptive decoupling model;

[0087] Monitor radar signal power and calculate the SIR value of radar signal;

[0088] When the SIR value of the radar signal is greater than the set threshold, the network-detector composite adaptive decoupling model is switched to the weak radar interference decoupling mode at high SIR;

[0089] When the SIR value of the radar signal is less than or equal to the set threshold, the network-detector composite adaptive decoupling model is switched to the strong radar interference decoupling mode at low SIR.

[0090] Among them, the weak radar interference decoupling modes at high SIR include:

[0091] A deep learning network combining convolutional neural networks and long short-term memory networks is used as a detector for communication signals. Short-time Fourier transform is used to extract the time-frequency characteristics of the receiver's time-domain signal to obtain a time-frequency graph, which is then input into the deep learning network to extract the feature sequence.

[0092] The feature sequence is input into the long short-term memory layer to extract the timing features of the communication signal, and the timing features of the communication signal are mapped to multiple modulation categories to obtain the probability distribution of the frequency deviation of the communication signal.

[0093] Among them, the strong radar interference decoupling modes at low SIR include:

[0094] Initialize radar signal parameters and filter gain matrix;

[0095] Calculate error signal and gain vector;

[0096] The radar signal parameters and filter gain matrix are updated according to the error signal and gain vector until the parameter estimation converges.

[0097] In one embodiment, a radar transmitter generates a time-varying power radar signal, while a communication transmitter transmits a binary-coded image signal. Because the parameters of the radar system change slowly, the amplitude of the radar signal can be roughly estimated by periodically monitoring the channel during the transmission of the communication signal. , calculate the SIR value as the judgment condition for the classification processing of the adaptive decoupling model to switch the decoupling mode in real time and automatically. The SIR calculation formula is as follows:

[0098]

[0099] in, is the amplitude of the communication signal, The radar signal amplitude is set to 15 dB, and the threshold for judging high and low SIR is set to 15 dB. Images are transmitted at different bit rates and the pixel error rate is calculated to quantitatively evaluate the performance of the composite decoupling model.

[0100] like Figure 3 As shown, to achieve high-performance elimination of wide-range power radar jammers, this embodiment establishes a network-traditional detector composite adaptive decoupling model. The solver modeling is divided into the following two cases: weak radar jammers at high SIR and strong radar jammers at low SIR.

[0101] In response to weak radar interference at high SIR, the receiver signal is dominated by the communication signal. This embodiment designs a deep learning network that combines convolutional neural networks and long short-term memory networks as a detector of communication signals. Short-time Fourier transform is used to extract the receiver time domain signal. The time-frequency characteristics of the time-frequency diagram are obtained , is input into the deep learning network. First, it passes through the convolutional neural network layer consisting of convolution layer 1, pooling layer, and convolution layer to extract low- and high-level time-frequency features and reduce the dimension of signal data. The formula is:

[0102]

[0103] in, is an activation function. In this embodiment, the Rectified Linear Unit function is used. is the feature sequence output by convolutional layer 1, and is the convolution kernel and bias term of convolution layer 1; It is the feature sequence output by the pooling layer; is the feature sequence output by convolutional layer 2, and is the convolution kernel and bias term of convolution layer 2. In this embodiment, the convolution kernel sizes of the two convolution layers are both , max pooling .

[0104] The feature sequence output by the convolutional layer The input is sent to the long short-term memory layer to capture the timing characteristics of the signal and is mapped to K modulation categories through the fully connected layer. The formula is:

[0105]

[0106] in, is the output of the last time step of LSTM, is the output of the fully connected layer 1, and are the weights and biases of the fully connected layer 1; is the output of the fully connected layer 2, and is the weight and bias term of the fully connected layer 2. The high-dimensional features are compressed into the score space of K categories. Finally, the output of the fully connected layer is converted into K-category frequency deviation through the Softmax activation function. The probability distribution of the signal Belong to k Probability of frequency deviation The calculation formula is:

[0107]

[0108] in, It is k During the network training process, the best performance of the neural network is achieved by finding the optimal value of the network weight parameters. The cross entropy loss function is used. L To evaluate the classification performance of the model:

[0109]

[0110] in It is a sample i The actual label, is the model's predicted value, N is the number of time windows.

[0111] Then, the Adam optimizer is used to update the network parameters, and the optimization goal is to minimize the loss function:

[0112]

[0113] in is the current network weight, is the learning rate.

[0114] For strong radar interference at low SIR, When the communication signal is almost drowned by the radar interference signal, the performance of the network method is greatly reduced. In this case, this embodiment adopts the self-recursive least squares algorithm in the adaptive filtering method to calculate the parameters of the radar interference signal and remove it from the original signal. The self-recursive least squares filter updates the filter weight vector , so that the prediction error is minimized. The filter output and radar signal prediction value are expressed as ,in Is the input signal vector. First, set the initial value of the filter weight vector And the initial value of the filter gain matrix . Then calculate the error signal and gain vector :

[0115]

[0116]

[0117] in, is the receiver signal sample, and are the biases of communication and radar signals respectively, is the predicted value of radar interference signal, is the input signal vector, is the inverse covariance matrix, is the forgetting factor, which ranges from 0 to 1.

[0118] According to the results of dynamic calculation, the filter weight vector and gain matrix To update, the update process is expressed as:

[0119]

[0120]

[0121] Repeat this step until the parameter estimation converges, and the estimated radar signal can be output through the filter.

[0122] In an optional embodiment of the present invention, this embodiment establishes a small sample model data set and iterates the internal parameters of the model to improve the solution performance.

[0123] This embodiment establishes a network-detector composite adaptive decoupling model including:

[0124] Collect the detection signals of the Rydberg heterodyne receiver under various radar interference powers and communication frequency modulation symbols, and establish a small sample model data set;

[0125] Data cleaning and data enhancement processing for small sample model datasets;

[0126] The processed small sample model dataset is used to optimize the network-detector composite adaptive decoupling model.

[0127] Collect the detection signals of the Rydberg heterodyne receiver under various radar interference powers and communication frequency modulation symbols, and establish a small sample model data set , k is the modulation frequency deviation category label of the communication signal, sample The dataset contains radar interference and Gaussian noise. To improve the generalization ability of the model, enhance data diversity and reduce the impact of noise, the small sample dataset is preprocessed.

[0128] First, we use statistical methods based on mean and standard deviation to identify and remove possible outliers caused by factors such as vibration and electromagnetic interference. The conditions for determining outliers are: Then use a bandpass filter to remove laser noise, optical device thermal noise, shot noise, etc. from the data. The process can be expressed as ,in is the transfer function of the filter. This can reduce the interference of irrelevant information on the model and improve the quality of the model data.

[0129] Then perform data enhancement and A slight time shift is performed to convert , to simulate receiver signals under different time offsets, thereby increasing the diversity of samples. For small sample data sets, the data may be sparse and incomplete. 、 Perform weighted averaging to synthesize new samples , the process can be expressed as:

[0130]

[0131] in is a weighting function, which is obtained by different The value can generate richer signal variants and improve the robustness and generalization ability of the model.

[0132] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0133] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0134] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0135] Specific embodiments are used in the present invention to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

[0136] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and it should be understood that the scope of protection of the present invention is not limited to such specific descriptions and embodiments. Those skilled in the art can make various other specific variations and combinations based on the technical teachings disclosed in the present invention without departing from the essence of the present invention, and such variations and combinations are still within the scope of protection of the present invention.

Claims

1. A radar interference self-decoupling communication method based on Rydberg atom heterodyne technology, characterized in that: The following steps are involved: A theoretical model for detecting electric fields based on Rydberg heterodyne technology was established to obtain the relationship between the intensity of the detection light at the receiver and time. Based on the relationship between the intensity of the detection light at the receiver and time, a theoretical model of the detection light signal at the Rydberg heterodyne receiver under the joint action of communication and radar transmitters is established, and the corresponding relationship between the communication modulation symbol and the intensity of the detection light at the receiver is obtained; A network-detector composite adaptive decoupling model is established, and the decoupling mode is automatically switched according to the monitored radar signal power to perform radar signal decoupling, including: Establish a network-detector composite adaptive decoupling model; Monitor radar signal power and calculate the SIR value of radar signal; When the SIR value of the radar signal is greater than the set threshold, the network-detector composite adaptive decoupling model is switched to the weak radar interference decoupling mode at high SIR. The weak radar interference decoupling mode at high SIR includes: A deep learning network combining convolutional neural networks and long short-term memory networks is used as a detector for communication signals. Short-time Fourier transform is used to extract the time-frequency characteristics of the receiver's time-domain signal to obtain a time-frequency graph, which is then input into the deep learning network to extract the feature sequence. Input the feature sequence into the long short-term memory layer to extract the timing features of the communication signal, and map the timing features of the communication signal to multiple modulation categories to obtain the probability distribution of the frequency deviation of the communication signal; When the SIR value of the radar signal is less than or equal to the set threshold, the network-detector composite adaptive decoupling model is switched to the strong radar interference decoupling mode at low SIR. The strong radar interference decoupling mode at low SIR includes: Initialize radar signal parameters and filter gain matrix; Calculate error signal and gain vector; The radar signal parameters and filter gain matrix are updated according to the error signal and gain vector until the parameter estimation converges.

2. The radar interference self-decoupling communication method based on Rydberg atom heterodyne technology according to claim 1, characterized in that: The theoretical model for detecting electric fields based on Rydberg heterodyne technology includes: The detection laser and the coupling laser are transmitted in opposite directions along overlapping optical paths through the atomic gas chamber to stimulate the Rydberg atoms to transition to the Rydberg energy level; Applying a radio frequency electric field stimulates the Rydberg atomic transition, causing the EIT peak to produce AT splitting; The radio frequency electric field is used as the local oscillator field LO, and another weak radio frequency electric field that is slightly detuned from the local oscillator field LO is applied as the signal field SIG. The sum of the electric fields of the local oscillator field LO and the signal field SIG is used as the total electric field of the atomic gas chamber to determine the total electric field strength in the gas chamber.

3. The radar interference self-decoupling communication method based on Rydberg atom heterodyne technology according to claim 2, characterized in that: The total electric field strength in the gas chamber is: in, is the total electric field intensity in the gas chamber, E 1 is the electric field of the local oscillator LO, E 2 is the electric field of the signal field SIG, E LO is the amplitude of the local oscillator field LO, E SIG is the amplitude of the signal field SIG, is the frequency difference between the local oscillator field LO and the signal field SIG, t For time, is the relative phase between the local oscillator field LO and the signal field SIG.

4. The radar interference self-decoupling communication method based on Rydberg atom heterodyne technology according to claim 1, characterized in that: The relationship between the intensity of the detection light at the receiver and time is: in, I ( t ) is the intensity of the detection light at the receiver, is the total electric field intensity in the gas chamber, E LO is the amplitude of the local oscillator field LO, E SIG is the amplitude of the signal field SIG, is the frequency difference between the local oscillator field LO and the signal field SIG, t For time, is the relative phase between the local oscillator field LO and the signal field SIG.

5. The radar interference self-decoupling communication method based on Rydberg atom heterodyne technology according to claim 1, characterized in that: Based on the relationship between the intensity of the detection light at the receiver and time, a theoretical model of the detection light signal at the Rydberg heterodyne receiver under the joint action of communication and radar transmitters is established. The corresponding relationship between the communication modulation symbol and the intensity of the detection light at the receiver is obtained, including: The transmitter of Rydberg heterodyne technology is composed of local oscillator field and signal field microwave source, and the information transmission of communication transmitter and radar transmitter is carried out by modulating the signal field; The communication transmitter is digitally modulated using a frequency shift keying modulation method to transmit symbols, and a communication transmitter model is established; Considering the interference of pulse linear frequency modulation radar signal, a radar transmitter model is established; Based on the communication transmitter model and the radar transmitter model, a theoretical model of the detection light signal at the Rydberg heterodyne receiver under the joint action of the communication and radar transmitters is established, and the corresponding relationship between the communication modulation symbol and the detection light intensity at the receiver is obtained.

6. The radar interference self-decoupling communication method based on Rydberg atom heterodyne technology according to claim 5, characterized in that: The corresponding relationship between the communication modulation symbol and the detection light intensity at the receiver is: in, I ( t ) is the intensity of the detection light at the receiver, is the total electric field intensity in the gas chamber, is the total electric field of the communication transmitter in the air chamber, is the total electric field of the radar transmitter in the air chamber, is the electric field noise in the gas chamber, is the bias of the communication signal, is the bias of the radar signal, is the amplitude of the communication signal, is the communication signal frequency corresponding to the kth symbol, t For time, is the phase of the communication signal, is the amplitude of the radar signal, is the intermediate frequency of the radar signal, u To adjust the frequency, is the phase of the radar signal, is additive white Gaussian noise.

7. The radar interference self-decoupling communication method based on Rydberg atom heterodyne technology according to claim 1, characterized in that: Establishing a network-detector composite adaptive decoupling model includes: Collect the detection signals of the Rydberg heterodyne receiver under various radar interference powers and communication frequency modulation symbols, and establish a small sample model data set; Data cleaning and data enhancement processing for small sample model datasets; The processed small sample model dataset is used to optimize the network-detector composite adaptive decoupling model.

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