Perception information obtaining method and device, computer equipment and storage medium

Abstract

The invention relates to the field of network communication, in particular to a perception information acquisition method and device, computer equipment and a storage medium, and aims to perform integrated waveform design by introducing a frequency domain phase difference, a peak-to-average power ratio and OFDM constant modulus characteristic constraints, so that an acquired target perception time domain signal can utilize all frequency domain resources, and the performance of the target perception time domain signal is improved. According to the method, communication and sensing detection frequency domain division are not needed, the same frequency spectrum is shared, so that the requirements of sensing and communication are met respectively, the higher bit error rate caused by frequency domain distortion is relieved, the peak-to-average power ratio is reduced, and the information sensing efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of network communication, and particularly to a method, device, computer device, and storage medium for obtaining sensing information. Background Art

[0002] In recent years, with the proliferation of communication and sensing devices, the gap between huge service demands and limited spectrum resources has become increasingly obvious. Therefore, the integrated communication and sensing technology has developed rapidly and become the focus of contemporary research. As a key part of realizing the integrated communication and sensing at the physical layer, waveform design has received extensive attention.

[0003] The integrated waveform must simultaneously meet two goals: achieving a balance in the theoretical performance of sensing and communication, and solving the challenges in engineering implementation, such as hardware complexity and power efficiency. The existing integrated waveform designs can be divided into three types: integrated waveforms based on communication waveforms, integrated waveforms based on radar waveforms, and integrated waveforms based on joint design. Orthogonal frequency division multiplexing (OFDM) is a multi-carrier modulation technology widely used in wireless communication systems (such as LTE, Wi-Fi, and digital television broadcasting). OFDM has many advantages, such as high spectral efficiency, enhanced fading resistance through joint coding of sub-carriers, and easy implementation.

[0004] However, a significant drawback of OFDM signals is their high peak-to-average power ratio (PAPR). High PAPR means that in some cases, the peak power of the OFDM signal may greatly exceed its average power. This high PAPR will lead to increased nonlinear distortion, low power, and quantization errors. Specifically, in an actual wireless communication system, to mitigate nonlinear distortion, the power amplifier needs to operate at a power level far below its maximum output power, resulting in a decrease in power efficiency. Moreover, during the digital-to-analog conversion process, high PAPR will increase quantization errors, thereby degrading the system performance. Therefore, high PAPR is a key factor restricting the performance of OFDM technology. To improve the efficiency of OFDM systems, effective PAPR reduction techniques must be adopted. This is not only a key research topic in the field of modern wireless communication but also an important direction for promoting technological progress. Summary of the Invention

[0005] Based on this, the purpose of the present invention is to provide a method, device, computer device, and storage medium for obtaining sensing information. By introducing frequency domain phase difference, peak-to-average power ratio, and OFDM constant modulus characteristic constraints, an integrated waveform design is carried out, enabling the obtained target sensing time-domain signal to utilize all frequency domain resources, without the need for frequency domain division for communication and sensing detection, sharing the same spectrum, so as to meet the requirements of sensing and communication respectively, alleviate the high bit error rate caused by frequency domain distortion, reduce the peak-to-average power ratio, and improve the efficiency of information sensing.

[0006] In a first aspect, an embodiment of the present application provides a method for obtaining sensing information, including the following steps:

[0007] Obtain a sensing frequency-domain signal, and construct an optimization problem function based on the sensing frequency-domain signal with the frequency-domain phase difference, peak-to-average power ratio, and OFDM constant modulus characteristic as constraint conditions;

[0008] Transform the optimization problem function into a first sub-optimization problem function regarding the sensing frequency-domain signal and a second sub-optimization problem function regarding the time-frequency signal; adopt the alternating direction multiplier algorithm to solve the first sub-optimization problem function and the second sub-optimization problem function according to the sensing frequency-domain signal, and obtain the target sensing frequency-domain signal and the target time-frequency signal;

[0009] Send the target time-frequency signal to the receiving end, obtain the feedback signal sent by the receiving end, and perform analysis according to the target sensing frequency-domain signal and the feedback signal to obtain the sensing information of the receiving end.

[0010] In a second aspect, an embodiment of the present application provides a device for obtaining sensing information, including:

[0011] A first signal acquisition module, configured to obtain a sensing frequency-domain signal, and construct an optimization problem function based on the sensing frequency-domain signal with the frequency-domain phase difference, peak-to-average power ratio, and OFDM constant modulus characteristic as constraint conditions;

[0012] A second signal acquisition module, configured to transform the optimization problem function into a first sub-optimization problem function regarding the sensing frequency-domain signal and a second sub-optimization problem function regarding the time-frequency signal; adopt the alternating direction multiplier algorithm to solve the first sub-optimization problem function and the second sub-optimization problem function according to the sensing frequency-domain signal, and obtain the target sensing frequency-domain signal and the target time-frequency signal;

[0013] An information sensing module, configured to send the target time-frequency signal to the receiving end, obtain the feedback signal sent by the receiving end, and perform analysis according to the target sensing frequency-domain signal and the feedback signal to obtain the sensing information of the receiving end.

[0014] In a third aspect, an embodiment of the present application provides a computer device, including: a processor, a memory, and a computer program stored on the memory and executable on the processor; when the computer program is executed by the processor, the steps of the method for obtaining sensing information as described in the first aspect are implemented.

[0015] In a fourth aspect, an embodiment of the present application provides a storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the method for obtaining sensing information as described in the first aspect are implemented.

[0016] In an embodiment of the present application, a method, apparatus, computer device, and storage medium for obtaining sensing information are provided. By introducing frequency-domain phase difference, peak-to-average power ratio, and OFDM constant modulus characteristic constraints, integrated waveform design is performed, so that the obtained target sensing time-domain signal can utilize all frequency-domain resources, without the need for frequency-domain division of communication and sensing detection, sharing the same spectrum, to meet the requirements of sensing and communication respectively, alleviating the high bit error rate caused by frequency-domain distortion, reducing the peak-to-average power ratio, and improving the efficiency of information sensing.

[0017] For better understanding and implementation, the present invention will be described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of an application scenario of a method for obtaining sensing information provided in an embodiment of the present application;

[0019] Figure 2 A flowchart of a method for obtaining sensing information provided in an embodiment of the present application;

[0020] Figure 3 A flowchart of S2 in a method for obtaining sensing information provided in an embodiment of the present application;

[0021] Figure 4 A flowchart of S3 in a method for obtaining sensing information provided in an embodiment of the present application;

[0022] Figure 5 A flowchart of S3 in a method for obtaining sensing information provided in another embodiment of the present application;

[0023] Figure 6 A schematic diagram of the structure of a device for obtaining sensing information provided in an embodiment of the present application;

[0024] Figure 7 A schematic diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] Here, exemplary embodiments will be described in detail, and the examples are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0026] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms "a", "the", and "said" used in this application and the appended claims are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0027] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0028] Please refer to Figure 1 , Figure 1 which is a schematic diagram of the application scenario of the method for obtaining perception information provided for an embodiment of this application. The application scenario includes several vehicles. The OFDM-ISAC system integrates radar sensing capabilities. The vehicles can detect vehicles or obstacles in the surrounding environment through radar and avoid collisions. By using the ISAC technology, the vehicles can detect the path through radar and automatically adjust the speed and lane according to the received perception data to achieve safe driving.

[0029] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of the method for obtaining perception information provided for an embodiment of this application. The method includes the following steps:

[0030] S1: Obtain the perception frequency-domain signal. According to the perception frequency-domain signal, with the frequency-domain phase difference, peak-to-average power ratio, and OFDM constant modulus characteristic as constraint conditions, construct an optimization problem function.

[0031] Any vehicle can be used as a transmitter. In this embodiment, the transmitter obtains the perception frequency-domain signal. Specifically, the transmitter performs QPSK / QAM encoding according to the information to be perceived, maps every two bits into a complex signal, and obtains the modulation signal as the perception frequency-domain signal. Among them, the perception frequency-domain signal includes information vectors of several subcarriers.

[0032] In an OFDM (Orthogonal Frequency Division Multiplexing) system, an OFDM symbol consists of multiple subcarriers that are orthogonal to each other in the frequency domain. The number of subcarriers N represents the total number of subcarriers contained in an OFDM symbol. Each subcarrier carries a part of the data, so the larger N is, the more data the system can transmit simultaneously.

[0033] In an ISAC (Integrated Sensing and Communication) system, the modulated signal usually represents the symbol transmitted in the frequency domain. This modulated signal can be represented in vector form as x = [x 0 , x 1 , …, x N-1 T , where x 0 , x 1 , …, x N-1 are the modulated symbols of the system on different subcarriers.

[0034] The transmitting end constructs an optimization problem function based on the sensed frequency-domain signal, with the frequency-domain phase difference, peak-to-average power ratio, and OFDM constant modulus characteristic as the constraint conditions, aiming to find the optimal sensed frequency-domain signal and its corresponding sensed time-domain signal that satisfy the low PAPR and frequency-domain constant modulus constraints within the distortion range. Among them, the expression of the optimization problem function is:

[0035] find x, s (1a)

[0036] s.t. Ax = s (1b)

[0037] arg(x i - c i ) < θ (1c)

[0038]

[0039] |x i | = 1, i = 1, 2, …, N(1e)

[0040] In the formula, x is the sensed frequency-domain signal, s is the sensed time-domain signal, A is the inverse discrete Fourier transform matrix, where the inverse discrete Fourier transform matrix is:

[0041]

[0042] x i is the information vector of the i-th subcarrier in the sensed frequency-domain signal, c i ​$\mathbf{w}_i$ is the information vector of the $i$-th subcarrier in the ideal sensing frequency-domain signal. The expandable region within the interval $(0, \pi)$ can be selected according to specific requirements. $\theta$ is the phase threshold, which is used to limit the maximum allowable value of the frequency-domain phase difference, ensuring that the system can effectively process the signal and reduce errors. $\arg(\cdot)$ is the function for finding the extreme value, $\text{PAPR}(s)$ is the peak-to-average power ratio of the sensing time-domain signal, $\alpha$ is the upper threshold of the peak-to-average power ratio, $M$ is the number of subcarriers of the ideal sensing frequency-domain signal, and $N$ is the number of subcarriers of the sensing frequency-domain signal.

[0043] For the constraint condition (1b), it means that the sensing frequency-domain signal $\mathbf{x}$ is converted into the sensing time-domain signal $\mathbf{s}$ through the inverse Fourier transform; for the constraint condition (1c), it represents the phase difference threshold between $\mathbf{x}$ and the phase of the preset ideal sensing frequency-domain signal $\mathbf{c}$; for the constraint condition (1d), it means that the peak-to-average power ratio does not exceed the upper threshold $\alpha$ of the peak-to-average power ratio; for the constraint condition (1e), it ensures that the sensing frequency-domain signal $\mathbf{x}$ is a constant modulus sequence.

[0044] S2: Transform the optimization problem function into a first sub-optimization problem function regarding the sensing frequency-domain signal and a second sub-optimization problem function regarding the time-frequency signal; adopt the alternating direction multiplier algorithm to solve the first sub-optimization problem function and the second sub-optimization problem function according to the sensing frequency-domain signal, and obtain the target sensing frequency-domain signal and the target time-frequency signal.

[0045] In this embodiment, the transmitting end transforms the optimization problem function into a first sub-optimization problem function regarding the sensing frequency-domain signal and a second sub-optimization problem function regarding the time-frequency signal according to the preset augmented Lagrangian function, where the augmented Lagrangian function is:

[0046]

[0047] where $L$ ρ $(\mathbf{x}, \mathbf{s}, \mathbf{r})$ is the augmented Lagrangian function, $\text{Re}\{\cdot\}$ is the real part function, $\mathbf{H}$ is the conjugate transpose symbol, $\mathbf{r}$ is the Lagrange operator, and $\rho$ is the penalty parameter;

[0048] The first sub-optimization problem function:

[0049]

[0050] s.t. $|\mathbf{x}$ n $| = 1, n = 0, 1, \ldots, N - 1$

[0051] $\arg(\mathbf{x}$ i $ - \mathbf{c}$ i ) \lt \theta$

[0052] where $k$ is the number of iterations, $\mathbf{r}$ (k)is the Lagrange multiplier for the k-th iteration, s (k) is the perceived time-domain signal for the k-th iteration, x n is the information vector of the n-th subcarrier in the perceived frequency-domain signal; ρ is the penalty parameter;

[0053] The second sub-optimization problem function is:

[0054]

[0055] To improve the optimization efficiency, the transmitter adopts the alternating direction multiplier algorithm to solve the first sub-optimization problem function and the second sub-optimization problem function according to the perceived frequency-domain signal, obtaining the target perceived frequency-domain signal and the target time-frequency signal. In the case of limited frequency-domain resources, it balances the contradiction between PAPR reduction and communication and sensing performance, maximizes the utilization rate of frequency-domain resources, and at the same time improves the phase freedom, the accuracy and efficiency of information sensing.

[0056] Please refer to Figure 3 , Figure 3 which is the schematic flowchart of S2 in the method for obtaining sensing information provided by an embodiment of the present application, including steps S21 to S24, specifically as follows:

[0057] S21: Obtain the initial perceived time-domain signal and the initial Lagrange multiplier, and update the perceived frequency-domain signal according to the initial perceived time-domain signal, the initial Lagrange multiplier, and the first sub-optimization problem function, obtaining the updated perceived frequency-domain signal as the perceived frequency-domain signal for the next iteration.

[0058] In this embodiment, the transmitter obtains the initial perceived time-domain signal and the initial Lagrange multiplier. Specifically, the initial perceived time-domain signal is generated after the IDFT conversion of the perceived frequency-domain signal in the OFDM system, and the oversampling factor is 4, that is, M = 4 * N. Each frequency subcarrier of the initial perceived time-domain signal s is oversampled 4 times in the time domain to ensure that the signal has higher resolution in time. The perceived time-domain signal s is expressed as s = [s 0 , s 1 , …, s M-1 T , where s 0 , s 1 , …, s M-1 represent the oversampled perceived time-domain signal points.

[0059] The transmitter updates the perceived frequency-domain signal according to the initial perceived time-domain signal, the initial Lagrange multiplier, and the first sub-optimization problem function, obtaining the updated perceived frequency-domain signal as the perceived frequency-domain signal for the next iteration, where the updated perceived frequency-domain signal is:​

[0060]

[0061] where k is the number of iterations, is the information vector of the i-th subcarrier in the perceived frequency-domain signal of the (k + 1)-th iteration, j is the amplitude, is the first N values of, y (k) is, and ρ is the penalty parameter.

[0062] Regarding there are three cases: when and c i the phase difference between is within the threshold range, greater than the threshold, and less than the threshold. To minimize the error, if and c i the phase difference between is greater than the threshold, then should take the upper boundary; on the contrary, if the phase difference is less than the threshold, then should take the lower boundary.

[0063] S22: According to the updated perceived frequency-domain signal, the initial Lagrange multiplier, and the second sub-optimization problem function, update the initial perceived time-domain signal to obtain an updated perceived time-domain signal as the perceived time-domain signal for the next iteration.

[0064] In this embodiment, the transmitter updates the initial perceived time-domain signal according to the updated perceived frequency-domain signal, the initial Lagrange multiplier, and the second sub-optimization problem function to obtain an updated perceived time-domain signal as the perceived time-domain signal for the next iteration, where the updated perceived time-domain signal is:

[0065] s (k+1) = max(Re{v (k+1)H q k}, 0)v (k+1)

[0066]

[0067] where s (k+1) is the perceived time-domain signal of the (k + 1)-th iteration, v (k+1) is the first auxiliary signal of the (k + 1)-th iteration, is the information vector of the m-th subcarrier in the first auxiliary signal of the (k + 1)-th iteration, q k is the second auxiliary signal of the k-th iteration, is the information vector of the m-th subcarrier in the second auxiliary signal of the k-th iteration, r (k) is the Lagrange multiplier of the k-th iteration, H is the conjugate transpose symbol, γ(k) is the third auxiliary signal for the k-th iteration and is obtained by performing a dichotomous search based on a preset search interval. Specifically, the initial search interval is defined Ensure that γ k is within this interval. can be set to 0, while is set to a sufficiently large value.

[0068] Repeat the following steps: First, calculate to update v k+1 . Based on the norm of v k+1 , determine the next operation:

[0069] If then update the left endpoint of the interval to the current γ k .

[0070] If then update the right endpoint of the interval to the current γ k .

[0071] Termination condition: Stop when the square of the norm of v k+1 is very close to 1. At this time, set γ k to

[0072] Through the above steps, the search interval can be gradually narrowed down to accurately locate the γ value that makes k close to 1.

[0073] S23: Update the initial Lagrange multiplier according to the updated sensed frequency-domain signal, the updated sensed time-domain signal, and a preset Lagrange multiplier update algorithm to obtain an updated Lagrange multiplier as the Lagrange multiplier for the next iteration.

[0074] In this embodiment, the transmitter updates the initial Lagrange multiplier according to the updated sensed frequency-domain signal, the updated sensed time-domain signal, and a preset Lagrange multiplier update algorithm to obtain an updated Lagrange multiplier as the Lagrange multiplier for the next iteration, where the Lagrange multiplier update algorithm is:

[0075] r (k+1) = r (k) + ρ(Ax (k+1) - s (k+1) )

[0076] In the formula, r (k+1) is the Lagrange multiplier for the (k + 1)-th iteration.

[0077] S24: Repeat the update operation according to the perceived frequency-domain signal, the perceived time-domain signal, and the Lagrange multiplier of the next iteration until the perceived frequency-domain signal and the perceived time-domain signal converge to the optimal solution, and obtain the perceived frequency-domain signal and the perceived time-domain signal of the last iteration as the target perceived frequency-domain signal and the target perceived time-domain signal.

[0078] In this embodiment, the transmitter repeats the update operation according to the perceived frequency-domain signal, the perceived time-domain signal, and the Lagrange multiplier of the next iteration until the perceived frequency-domain signal and the perceived time-domain signal converge to the optimal solution, and obtains the perceived frequency-domain signal and the perceived time-domain signal of the last iteration as the target perceived frequency-domain signal and the target perceived time-domain signal. On the premise of maintaining an acceptable bit error rate level, the PAPR of the target perceived time-domain signal is significantly reduced, and better communication performance is achieved.

[0079] By introducing the frequency-domain phase difference, the peak-to-average power ratio, and the OFDM constant modulus characteristic constraint, an integrated waveform design is carried out, so that the autocorrelation function of the target perceived time-domain signal obtained by solving the optimization problem function reaches a peak only at zero delay and is zero at other delays. This characteristic helps to improve the detection accuracy and perception performance of the waveform, can utilize all frequency-domain resources, does not require frequency-domain division for communication and perception detection, shares the same spectrum, and can respectively meet the requirements of perception and communication, alleviating the high bit error rate caused by frequency-domain distortion. Secondly, for the perception function, a constant modulus frequency-domain sequence is adopted to ensure good periodic autocorrelation (PAC) characteristics in the time domain, thereby improving the perception performance of the OFDM-ISAC system. For communication, the frequency-domain constellation points of the signal are restricted within a preset phase threshold to ensure correct decoding at the communication receiving end. At the same time, optimizing the frequency-domain sequence within this phase threshold can reduce the peak-to-average power ratio (PAPR) and improve the efficiency of information perception.

[0080] S3: Send the target time-frequency signal to the receiving end, obtain the feedback signal sent by the receiving end, and perform analysis according to the target perceived frequency-domain signal and the feedback signal to obtain the perception information of the receiving end.

[0081] In this embodiment, the transmitter sends the target time-frequency signal to the receiving end, obtains the feedback signal sent by the receiving end, and performs analysis according to the target perceived frequency-domain signal and the feedback signal to obtain the perception information of the receiving end, where the perception information includes distance information and speed information.

[0082] Please refer to Figure 4 , Figure 4 , which is a schematic flowchart of S3 in the method for obtaining perception information provided by an embodiment of the present application, including step S31, as follows:

[0083] S31: Insert a cyclic prefix into the target time-frequency signal to obtain the target time-frequency signal after the insertion process, and send the target time-frequency signal after the insertion process to the receiving end to obtain a feedback signal sent by the receiving end.

[0084] To prevent inter-symbol interference (ISI), in this embodiment, the transmitting end inserts a cyclic prefix into the target time-frequency signal to obtain the target time-frequency signal after the insertion process, and sends the target time-frequency signal after the insertion process to the receiving end to obtain a feedback signal sent by the receiving end. Among them, the feedback signal is obtained by the receiving end removing the cyclic prefix of the target time-frequency signal after the insertion process and performing DFT transformation to obtain the perceived frequency-domain signal Y. This perceived frequency-domain signal Y undergoes QPSK demodulation to restore the original binary data and is generated based on this binary data.

[0085] Please refer to Figure 5 , Figure 5 which is a schematic flowchart of S3 in the method for obtaining perception information provided in another embodiment of this application, and further includes steps S32 to S34, specifically as follows:

[0086] S32: Construct a frequency-domain conjugate reference matrix of the target perceived frequency-domain signal and a receiving matrix of the feedback signal, and perform a Hadamard product operation according to the frequency-domain conjugate reference matrix and the receiving matrix to obtain a Hadamard product result.

[0087] In this embodiment, the transmitting end constructs a frequency-domain conjugate reference matrix of the target perceived frequency-domain signal and a receiving matrix of the feedback signal, and performs a Hadamard product operation according to the frequency-domain conjugate reference matrix and the receiving matrix to obtain a Hadamard product result.

[0088] S33: Perform an inverse discrete Fourier transform according to the Hadamard product result to extract delay information, and perform distance calculation according to the delay information to obtain the distance information.

[0089] In this embodiment, the transmitting end performs an inverse discrete Fourier transform according to the Hadamard product result for delay analysis, extracts delay information, and performs distance calculation according to the delay information to obtain the distance information between the transmitting end and the receiving end as the distance information.

[0090] S34: Perform a discrete Fourier transform on the feedback signal to extract spectral offset information, and perform speed calculation according to the spectral offset information to obtain the speed information.

[0091] In this embodiment, the transmitting end performs a discrete Fourier transform on the sampling points on each subcarrier of the feedback signal to extract the spectral offset information caused by Doppler frequency shift, and performs speed calculation according to the spectral offset information to obtain the speed information.

[0092] Please refer to Figure 6 , Figure 6 which is a schematic structural diagram of a perception information acquisition device provided for an embodiment of the present application. The device can implement all or part of the perception information acquisition device through software, hardware, or a combination of both. The device 6 includes:

[0093] A first signal acquisition module 61, configured to acquire a perception frequency-domain signal, and construct an optimization problem function based on the perception frequency-domain signal with the frequency-domain phase difference, peak-to-average power ratio, and OFDM constant modulus characteristic as constraint conditions;

[0094] A second signal acquisition module 62, configured to transform the optimization problem function into a first sub-optimization problem function regarding the perception frequency-domain signal and a second sub-optimization problem function regarding the time-frequency signal; adopt the alternating direction multiplier algorithm to solve the first sub-optimization problem function and the second sub-optimization problem function according to the perception frequency-domain signal, and obtain a target perception frequency-domain signal and a target time-frequency signal;

[0095] An information perception module 63, configured to send the target time-frequency signal to a receiving end, acquire a feedback signal sent by the receiving end, and analyze the target perception frequency-domain signal and the feedback signal to obtain the perception information of the receiving end.

[0096] In the embodiment of the present application, through the first signal acquisition module, a perception frequency-domain signal is acquired, and an optimization problem function is constructed based on the perception frequency-domain signal with the frequency-domain phase difference, peak-to-average power ratio, and OFDM constant modulus characteristic as constraint conditions; through the second signal acquisition module, the optimization problem function is transformed into a first sub-optimization problem function regarding the perception frequency-domain signal and a second sub-optimization problem function regarding the time-frequency signal; the alternating direction multiplier algorithm is adopted to solve the first sub-optimization problem function and the second sub-optimization problem function according to the perception frequency-domain signal, and a target perception frequency-domain signal and a target time-frequency signal are obtained; through the information perception module, the target time-frequency signal is sent to the receiving end, a feedback signal sent by the receiving end is acquired, and the target perception frequency-domain signal and the feedback signal are analyzed to obtain the perception information of the receiving end. By introducing the frequency-domain phase difference, peak-to-average power ratio, and OFDM constant modulus characteristic constraints, an integrated waveform design is performed, so that the obtained target perception time-domain signal can utilize all frequency-domain resources, without the need for frequency-domain division of communication and perception detection, share the same spectrum, and respectively meet the requirements of perception and communication, alleviate the high bit error rate caused by frequency-domain distortion, reduce the peak-to-average power ratio, and improve the efficiency of information perception.

[0097] Please refer to Figure 7 , Figure 7Schematic structural diagram of a computer device provided by an embodiment of the present application. The computer device 7 includes: a processor 71, a memory 72, and a computer program 73 stored on the memory 72 and executable on the processor 71; the computer device may store multiple instructions, and the instructions are suitable for being loaded and executed by the processor 71 to perform the above Figures 1 to 5 method steps shown, and the specific execution process can be referred to Figures 1 to 5 the specific description shown, and will not be elaborated here.

[0098] Among them, the processor 71 may include one or more processing cores. The processor 71 uses various interfaces and circuits to connect various parts within the server, and by running or executing instructions, programs, code sets or instruction sets stored in the memory 72, and calling data in the memory 72, it performs various functions of the perception information acquisition device 5 and processes data. Optionally, the processor 71 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 71 may integrate one or several combinations of a central processing unit 71 (CPU), a graphics processing unit 71 (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the touch display screen; the modem is used to process wireless communication. It can be understood that the above modem may not be integrated into the processor 71 and may be implemented separately by a single chip.

[0099] Among them, the memory 72 may include a random access memory (RAM), or may also include a read-only memory (ROM). Optionally, the memory 72 includes a non-transitory computer-readable storage medium. The memory 72 can be used to store instructions, programs, codes, code sets, or instruction sets. The memory 72 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch instructions, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area may store the data involved in the above-mentioned method embodiments. Optionally, the memory 72 may also be at least one storage device located far from the aforementioned processor 71.

[0100] The embodiments of the present application also provide a storage medium, which can store multiple instructions, and the instructions are suitable for being loaded and executed by a processor to perform the above Figures 1 to 5 method steps shown, and the specific execution process can be referred to Figures 1 to 5 the specific description shown, and will not be elaborated here.

[0101] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiments and will not be elaborated here.

[0102] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0103] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0104] In the embodiments provided by the present invention, it should be understood that the disclosed device / terminal device and method can be implemented in other ways. For example, the device / terminal device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0105] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0106] In addition, the functional units in each embodiment of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0107] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-described method embodiments of the present invention, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc.

[0108] The present invention is not limited to the above embodiments. If various modifications or variations of the present invention do not depart from the spirit and scope of the present invention, and provided that these modifications and variations are within the scope of the claims of the present invention and equivalent technical scope, then the present invention also intends to encompass these modifications and variations.

Claims

1. A method for obtaining perception information, characterized in that: The following steps are involved: Obtaining a perceived frequency domain signal, and constructing an optimization problem function based on the perceived frequency domain signal with frequency domain phase difference, peak-to-average power ratio, and OFDM constant mode characteristics as constraints; The optimization problem function is converted into a first sub-optimization problem function about a perceived frequency domain signal and a second sub-optimization problem function about a time-frequency signal; an alternating direction multiplier algorithm is used to solve the first sub-optimization problem function and the second sub-optimization problem function according to the perceived frequency domain signal to obtain a target perceived frequency domain signal and a target time-frequency signal; The target time-frequency signal is sent to a receiving end, a feedback signal sent by the receiving end is obtained, and the target perception frequency domain signal and the feedback signal are analyzed to obtain perception information of the receiving end.

2. The method for obtaining perception information according to claim 1, characterized in that: The expression of the optimization problem function is: find x,s stAx=s arg(x i -c i )<θ |x i |=1,i=1,2,…,N Where x is the perceived frequency domain signal, s is the perceived time domain signal, A is the inverse discrete Fourier transform matrix, x i is the information vector of the i-th subcarrier in the perceived frequency domain signal, c i is the information vector of the ith subcarrier in the ideal perceived frequency domain signal, θ is the phase threshold, arg(·) is the maximum value function, PAPR(s) is the peak-to-average power ratio of the perceived time domain signal, α is the upper threshold of the peak-to-average power ratio, M is the number of subcarriers in the ideal perceived frequency domain signal, and N is the number of subcarriers in the perceived frequency domain signal.

3. The method for obtaining perception information according to claim 2, characterized in that: The first sub-optimization problem function is: s.t.|x n |=1,n=0,1,…,N-1 arg(x i -c i )<θ Where k is the number of iterations, H is the conjugate transpose symbol, Re{·} is the xx function, and r (k) is the Lagrange multiplier of the kth iteration, s (k) is the perceived time domain signal of the kth iteration, x n is the information vector of the nth subcarrier in the perceived frequency domain signal; ρ is the penalty parameter; The second sub-optimization problem function is:

4. The method for obtaining perception information according to claim 3, characterized in that: The step of solving the first sub-optimization problem function and the second sub-optimization problem function according to the perceived frequency domain signal to obtain a target perceived frequency domain signal and a target time-frequency signal comprises the following steps: Obtaining an initial perceived time domain signal and an initial Lagrangian multiplier, and updating the perceived frequency domain signal according to the initial perceived time domain signal, the initial Lagrangian multiplier, and the first sub-optimization problem function to obtain an updated perceived frequency domain signal as the perceived frequency domain signal of the next iteration; According to the updated perceived frequency domain signal, the initial Lagrange multiplier and the second sub-optimization problem function, the initial perceived time domain signal is updated to obtain an updated perceived time domain signal as the perceived time domain signal of the next iteration; According to the updated perceived frequency domain signal, the updated perceived time domain signal and a preset Lagrangian multiplier update algorithm, the initial Lagrangian multiplier is updated to obtain an updated Lagrangian multiplier as a Lagrangian multiplier for the next iteration; According to the perceived frequency domain signal, the perceived time domain signal and the Lagrange multiplier of the next iteration, the update operation is repeated until the perceived frequency domain signal and the perceived time domain signal converge to the optimal solution, and the perceived frequency domain signal and the perceived time domain signal of the last iteration are obtained as the target perceived frequency domain signal and the target perceived time domain signal.

5. The method for obtaining perception information according to claim 4, characterized in that: The step of sending the target time-frequency signal to a receiving end and obtaining a feedback signal sent by the receiving end comprises the steps of: Inserting a cyclic prefix into the target time-frequency signal to obtain the target time-frequency signal after the insertion processing, sending the target time-frequency signal after the insertion processing to a receiving end, and obtaining a feedback signal sent by the receiving end.

6. The method for obtaining perception information according to claim 5, characterized in that: The perception information includes distance information and speed information; The step of parsing the target perception frequency domain signal and the feedback signal to obtain the perception information of the receiving end includes the following steps: Constructing a frequency domain conjugate reference matrix of the target perception frequency domain signal and a receiving matrix of the feedback signal, performing a Hadamard product operation according to the frequency domain conjugate reference matrix and the receiving matrix to obtain a Hadamard product result; Performing an inverse discrete Fourier transform according to the Hadamard product result to extract time delay information, and performing distance calculation according to the time delay information to obtain the distance information; Performing discrete Fourier transform on the feedback signal to extract spectrum offset information, performing speed calculation according to the spectrum offset information to obtain the speed information.

7. A device for obtaining perception information, characterized in that: include: A first signal acquisition module is used to obtain a perceived frequency domain signal, and construct an optimization problem function based on the perceived frequency domain signal with frequency domain phase difference, peak-to-average power ratio and OFDM constant mode characteristics as constraints; A second signal acquisition module is used to convert the optimization problem function into a first sub-optimization problem function about a perceived frequency domain signal and a second sub-optimization problem function about a time-frequency signal; using an alternating direction multiplier algorithm, the first sub-optimization problem function and the second sub-optimization problem function are solved according to the perceived frequency domain signal to obtain a target perceived frequency domain signal and a target time-frequency signal; The information perception module is used to send the target time-frequency signal to the receiving end, obtain the feedback signal sent by the receiving end, and perform analysis based on the target perception frequency domain signal and the feedback signal to obtain the perception information of the receiving end.

8. A computer device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and executable on the processor; when the computer program is executed by the processor, the steps of the method for obtaining perception information as described in any one of claims 1 to 6 are implemented.

9. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for obtaining perception information according to any one of claims 1 to 6 are implemented.

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