A radar communication integrated waveform generation method and device

Abstract

The present application discloses a radar communication integrated waveform generation method, comprising the following steps: based on the relationship between the array antenna steering vector, the waveform covariance matrix and the transmission power, optimizing the waveform covariance matrix to obtain the desired waveform covariance matrix; setting the time domain sequence of the radar waveform and the communication waveform; optimizing the waveform matrix to obtain an integrated waveform, wherein the optimization goal is that the Euclidean distance between the actual waveform covariance matrix corresponding to the waveform matrix and the desired waveform covariance matrix is ​​less than a set threshold. The present application also includes a device for implementing the method. The present application solves the problems of high side lobes and low energy utilization of the integrated waveform transmission beam pattern in the prior art.

Description

Technical Field

[0001] The present application relates to the field of radar and communication technology, and in particular to a radar-communication integrated waveform generation method and device. Background Art

[0002] With the continuous development of scientific theories and information technology, the electromagnetic environment in space is becoming increasingly complex, and the demand for multifunctional integrated electronic information systems has increased significantly. Application scenarios such as earthquake relief, intelligent transportation and unmanned driving require both high-speed communication and high-resolution radar perception capabilities, and radar communication integrated systems are one of the effective ways to meet the above needs. In order to solve the problems of system equipment redundancy, electromagnetic incompatibility, spectrum conflicts, etc. caused by the increase of electronic equipment on the same platform, a large number of studies have been carried out at home and abroad. The radar communication integrated system has gone through four stages of development: independent structure, joint structure, integrated electronic structure and highly integrated structure. The core focus and difficulty at this stage lies in waveform integration, that is, the use of integrated waveforms under the same framework to achieve multifunctional multiplexing through ultra-wideband reconfigurable antennas.

[0003] At present, the research on radar communication integrated waveforms mainly includes two aspects: integrated waveforms based on single antennas and integrated waveforms based on array antennas. The research on integrated waveforms based on single antennas is mainly concentrated in the time-frequency domain, and time-frequency multiplexing waveforms, radar shared waveforms, and communication shared waveforms are proposed. The integrated waveform design based on a single antenna is already relatively sufficient, but this method focuses on the realization of waveform functions and ignores the actual array form. With the development of science and technology, MIMO technology has been widely used in the fields of communication and radar, and the integrated waveform design based on array antennas has become a research hotspot and an inevitable trend. At present, the integrated waveform design based on array antennas can be summarized into three categories, namely, the array plane system, the common array plane single beam system, and the common array plane multi-beam system. The split-array system divides the array into different areas to realize radar and communication functions respectively. The radar waveform and communication waveform can use any waveform without restriction, but it will split the transmission energy and reduce the radar detection distance. In addition, because the radar power is higher than the communication power, the radar sidelobe will inevitably interfere with the communication main lobe; the common-array single-beam system uses the main lobe of the beam to realize the radar function, and the side lobe realizes the communication function through amplitude, phase and other modulation. At this time, communication only supports line-of-sight transmission and the transmission rate is low. The communication power is limited by the actual communication direction; the common-array multi-beam system generates multiple main beams at the same time, corresponding to the radar and communication functions respectively. McCormick et al. first used multi-beam technology to design an integrated waveform in their paper "Simultaneous radar and communications emissions from a common aperture, Part I: Theory [C]. 2017 IEEE Radar Conference, 2017: 1685–1690". The model transmits radar waveforms and communication waveforms to a specified direction under the goal of minimizing the transmit power. However, the constant envelope characteristics of the waveform lead to an unacceptable high sidelobe problem in the transmit beam pattern, which reduces energy efficiency, increases the probability of exposure, and submerges small targets. In summary, the method of waveform design based on array antenna in the existing integrated waveform design scheme is still in its initial stage. The existing scheme fails to fully utilize the spatial freedom of the array antenna and cannot meet the radar and communication performance requirements at the same time. Summary of the invention

[0004] The present application proposes a radar communication integrated waveform generation method and device, which introduces the array antenna degree of freedom into the waveform design, synthesizes specified types of waveforms in different orientations to achieve radar detection and wireless communication functions, and solves the problems of high side lobes and low energy utilization in the integrated waveform transmission beam pattern of the prior art.

[0005] On the one hand, an embodiment of the present application provides a radar communication integrated waveform generation method, comprising the following steps:

[0006] Based on the relationship between the array antenna steering vector, the waveform covariance matrix and the transmit power, the waveform covariance matrix is ​​optimized to obtain the desired waveform covariance matrix. The constraints include: the transmit power of each antenna element is equal, the peak sidelobe ratio of the transmit beam is within the set upper and lower threshold limits, and the power difference between the radar beam direction and the communication beam direction is the set value.

[0007] Set up the time domain sequence of radar waveform and communication waveform;

[0008] The waveform matrix is ​​optimized to obtain an integrated waveform. The optimization goal is that the Euclidean distance between the actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is ​​less than a set threshold. The constraint conditions are: the peak-to-average ratio of the waveform transmitted by any array element is less than the set threshold, and the coherently synthesized waveforms in the radar beam and communication beam directions are the radar waveform and the communication waveform, respectively.

[0009] Preferably, the upper threshold limit of the peak sidelobe ratio is set to -2dB, and the lower threshold limit is set to -15dB.

[0010] Preferably, the parameters of the radar waveform include: signal type, waveform amplitude, bandwidth B, and pulse width T, wherein the waveform amplitude is the square root of the peak value of the radar beam.

[0011] Preferably, the parameters of the communication waveform include: waveform amplitude, modulation mode, number of symbols N bit , modulation order M bit , wherein the waveform amplitude is obtained by the radar waveform amplitude and the power difference.

[0012] When the Euclidean distance between the actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is ​​0, the optimization objective function is simplified to the change between the waveform matrix and the expected waveform covariance matrix, expressed as: Wherein, X is the waveform matrix, R0 is the expected waveform covariance matrix, and N is the time domain sequence length; is a unitary matrix, satisfying UU H =I MN .

[0013] Furthermore, the step of optimizing the waveform matrix to obtain an integrated waveform obtains a waveform matrix having the smallest variation compared with the expected waveform covariance matrix under the peak-to-average ratio constraint.

[0014] Furthermore, the step of optimizing the waveform matrix to obtain an integrated waveform obtains a waveform matrix having the smallest variation compared with the expected waveform covariance matrix under the waveform similarity constraint.

[0015] Furthermore, the peak-to-average ratio constraint and the waveform similarity constraint are applied in turn by the alternating projection method. When the difference of the waveform matrices obtained from two iterations is less than the convergence threshold, the obtained waveform matrix is ​​the final radar communication integrated waveform.

[0016] In a second aspect, the present application further proposes a radar communication integrated waveform generating device, which is used to implement the method described in any one of the embodiments of the first aspect of the present application, comprising an antenna array and a controller;

[0017] The antenna array comprises M array elements with a spacing of d, and when the length of the timing sequence of the signal transmitted by each array element is N, an M×N waveform matrix is ​​formed;

[0018] The controller is used to generate the integrated waveform and control the antenna array to generate a radar waveform and a communication waveform in the direction of the radar beam and the communication beam respectively.

[0019] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects:

[0020] This method can make full use of the spatial freedom of the array antenna, introduce the beamforming algorithm to design the transmit beam pattern and the integrated waveform, and obtain a transmit beam pattern with a low spatial sidelobe level by constraining the peak sidelobe ratio of the transmit beam pattern, and realize the power allocation of the radar waveform and the communication waveform. The desired radar waveform and communication waveform are synthesized separately in the specified azimuth, and the radar and communication functions are realized under the same frequency condition. Using this method to design and generate an integrated waveform can not only obtain a transmit beam pattern with a good spatial sidelobe level, but also take into account the requirements of wireless communication and radar detection for the transmit waveform, avoiding the compromise between radar performance and communication performance. In addition, the entire implementation process of this method is relatively simple and does not involve complex calculations. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0022] FIG. 1( a) is a flow chart of an embodiment of the method of the present invention;

[0023] FIG. 1( b ) is a flowchart of optimization using the alternating projection method in the method of the present invention;

[0024] Figure 2 A schematic diagram of the working directions of the radar beam and the communication beam in the application scenario of the present invention;

[0025] Figure 3It is a comparison diagram of the synthesis effect of the radar waveform of the traditional method and the radar waveform of the present invention under the same transmission power;

[0026] Figure 4 It is a comparison diagram of the communication waveform synthesis effect of the traditional method and the communication waveform synthesis effect of the present invention under the same transmission power;

[0027] Figure 5 It is a comparison diagram of the transmission beam diagram of the traditional method and the transmission beam diagram of the present invention under the same transmission power;

[0028] Figure 6 It is a schematic diagram of the radar communication integrated waveform generating device of the present invention;

[0029] Figure 7 It is a schematic diagram of an electronic device embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0031] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0032] FIG. 1( a) is a flow chart of an embodiment of the method of the present invention;

[0033] The present invention provides a radar communication integrated waveform generation method, comprising the following steps:

[0034] Step 10: Determine the array antenna scale and various parameters of the transmit beam pattern, and calculate the steering vector.

[0035] According to the simulation parameters, the steering vector a(θ) is calculated by formula (1)

[0036]

[0037] In the formula, [·] T is the transpose transformation, f0 is the signal carrier frequency, d is the array element spacing, and θ is the azimuth angle.

[0038] The parameters of the transmit beam pattern include at least the azimuth θ of the radar target. r0 , the position of the communication node θ c0 、Radar 3dB beam width θ rr -θ rl 、Communication 3dB beam width θcr -θ cl , the power difference between the radar beam peak and the communication beam peak ΔP rc .

[0039] Step 20: Establish an optimization model for the transmit waveform covariance matrix and solve it.

[0040] Based on the relationship between the array antenna steering vector, the waveform covariance matrix and the transmit power, the waveform covariance matrix is ​​optimized to obtain the desired waveform covariance matrix. The constraints include: the transmit power of each antenna element is equal, the peak sidelobe ratio of the transmit beam is within the set upper and lower threshold limits, and the power difference between the radar beam direction and the communication beam direction is the set value.

[0041] In the θ direction, the synthesized waveform can be expressed as

[0042] s(θ,n)=a H (θ)x(n) (2)

[0043] In the formula, x(n)=[x1(n)…x M (n)] T is the integrated waveform vector of all array elements at the nth sampling moment. The superscript “H” indicates conjugate.

[0044] At this time, the transmission power corresponding to the synthetic waveform in the θ direction can be expressed as

[0045]

[0046] In the formula, is the waveform covariance matrix, and X is the integrated waveform matrix.

[0047] A convex optimization model of the waveform covariance matrix R is established and solved, where the constraints of the matrix R are specifically:

[0048] Constraint 1: R ≥ 0 is a semi-positive definite matrix constraint;

[0049] Constraint 2: 3dB width constraints for radar beams and communication beams;

[0050] Constraint 3: a H (θ r0 )Ra(θ r0 )-a H (θ c0 )Ra(θ c0 )=ΔP rc Constrain the power difference between radar beam and communication beam and control the power allocation between the two functions;

[0051] Constraint 4: R mm =Pt / M,m=1,...,M is the transmit power constraint of each array element, where P t is the total transmit power, M is the number of array elements;

[0052] Constraint 5: is the peak sidelobe ratio constraint of the transmit beam pattern, where a(θ) is the steering vector corresponding to the azimuth θ, Ω is the sidelobe coverage area, and pslr sup and pslr inf are the upper and lower thresholds of the beam pattern peak sidelobe ratio, respectively;

[0053] Preferably, the upper threshold limit of the peak sidelobe ratio is set to -2dB, and the lower threshold limit is set to -15dB. sup =-2(dB), pslr inf =-15(dB). Through the statistical analysis of the simulation results of various radar and communication target azimuth distributions, it can be seen that this group of parameters can ensure that the convex optimization model of the waveform covariance matrix has an optimal solution, and the corresponding integrated waveform performance is excellent.

[0054] Step 30: Set the time domain sequence of the radar waveform and the communication waveform.

[0055] Preferably, the parameters of the radar waveform include: signal type, waveform amplitude, bandwidth B, and pulse width T, wherein the waveform amplitude is the square root of the peak value of the radar beam.

[0056] Preferably, the parameters of the communication waveform include: waveform amplitude, modulation mode, number of symbols N bit , modulation order M bit , wherein the waveform amplitude is obtained by the radar waveform amplitude and the power difference.

[0057] Assume that the expected radar waveform s r , expected communication waveform c , in order to r0 Synthesize the desired waveform s in the direction r , the integrated waveform needs to meet In order to c0 Synthesize the desired waveform s in the direction c , the integrated waveform needs to meet From this, we can construct the waveform similarity constraint A H X = S, where A = [a(θ r0 ) a(θ c0 )],S=[s r s c ] T .

[0058] Generate the desired radar waveform using the desired beam pattern and various parameters r and communication waveforms c When θ=θ r0 When , the transmission beam pattern is aimed at the radar target direction, and the synthetic waveform in this direction is required to be the radar LFM waveform, that is, the constraint conditions must be met:

[0059]

[0060] When θ=θ c0 When , the transmit beam pattern is aligned with the direction of the communication node, and the synthetic waveform in this direction is required to be a communication waveform carrying information, that is, the constraint conditions must be met:

[0061]

[0062] By matrixing formulas (4) and (5), they can be organized into waveform similarity constraint expressions:

[0063] A H X=S (6)

[0064] Step 40: Based on the criterion of minimizing the waveform covariance matrix estimation error, an optimization model of the integrated waveform is constructed and solved iteratively to obtain the final radar communication integrated waveform.

[0065] In step 40, the waveform matrix is ​​optimized to obtain an integrated waveform, and the optimization target is that the Euclidean distance between the actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is ​​less than a set threshold, and the constraint conditions are: the peak-to-average ratio of the waveform transmitted by any array element is less than the set threshold, and the coherently synthesized waveforms in the radar beam and communication beam directions are the radar waveform and the communication waveform, respectively.

[0066] When the integrated waveform only satisfies the waveform similarity constraint, the waveform amplitude may fluctuate violently, resulting in an unacceptable high peak-to-average ratio problem, reducing the working efficiency of the power amplifier, affecting the detection power of the radar and the transmission efficiency of communications. Therefore, a peak-to-average ratio constraint is introduced into the integrated waveform.

[0067] The peak-to-average ratio is defined as:

[0068]

[0069] Define μ to represent the expected value of the peak-to-average ratio, then the expression of the waveform peak-to-average ratio constraint is:

[0070]

[0071] Optionally, in step 40, the objective function of the integrated waveform X is specifically:

[0072]

[0073] The subscript "F" represents the Frobenius norm. The objective function is a fourth-order non-convex polynomial that is difficult to solve and needs to be simplified first.

[0074] In an embodiment of any method of the present application, when the Euclidean distance between the actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is ​​0, the optimization target is simplified.

[0075] When f = 0, the objective function is simplified to

[0076]

[0077] Wherein, X is the waveform matrix, R0 is the expected waveform covariance matrix, and N is the time domain sequence length. is a unitary matrix, satisfying UU H =I MN Formula (10) represents the change in the waveform matrix compared with the expected waveform covariance matrix. Represents a complex matrix of dimension M×N.

[0078] Combined with the waveform similarity constraint and the waveform peak-to-average ratio constraint, the constructed integrated waveform optimization model is expressed as:

[0079]

[0080] Wherein, μ is the upper limit of the peak-to-average ratio.

[0081] FIG1( b ) is a flowchart of optimization using the alternating projection method in the method of the present invention.

[0082] The step of optimizing the waveform matrix to obtain an integrated waveform further includes using an alternating projection method to apply a peak-to-average ratio constraint and a waveform similarity constraint in turn:

[0083] Step 41: Under the peak-to-average ratio constraint, obtain a waveform matrix with the smallest variation compared with the expected waveform covariance matrix.

[0084] Optionally, the optimization function in step 40 is non-convex, and the optimization problem is split into sub-optimization problems corresponding to the constraints respectively and solved iteratively by using the alternating projection method; under the waveform peak-to-average ratio constraint, the optimization function is

[0085]

[0086] It should be noted that when μ = 1, the solution can be directly obtained as

[0087]

[0088] Step 42: Under the waveform similarity constraint, obtain a waveform matrix with the smallest variation compared with the expected waveform covariance matrix.

[0089] Substitute the obtained solution X0 into the sub-optimization problem under the waveform similarity constraint, and the optimization function is

[0090]

[0091] Substitute the obtained solution X0 into the sub-optimization problem under the unitary matrix constraint, and the optimization function is

[0092]

[0093] Step 43, repeating the above steps 41 to 42, when the difference between the waveform matrices obtained by two iterations is less than the convergence threshold, the obtained waveform matrix is ​​the final radar communication integrated waveform.

[0094] For example, when the Frobenius norm of the error between two iterations is less than the convergence threshold, the final radar communication integrated waveform is obtained.

[0095] In another embodiment of the present application, the sub-optimization problem shown in formula (14) is directly solved by the Lagrange multiplier method:

[0096] X=A(A H A) -1 SA(A H A) -1 A H X0+X0 (16)

[0097] Then in step 41, under the unitary matrix constraint, formula (16) is substituted into the corresponding sub-optimization problem, and the optimization function is specifically expressed as

[0098]

[0099] This sub-optimization problem is an orthogonal Pluck problem, which has a global closed-form solution based on singular value decomposition. Perform singular value decomposition:

[0100]

[0101] In the formula, is a left unitary matrix, is a right unitary matrix. Then the solution to this sub-optimization problem is obtained as

[0102]

[0103] The three sub-optimization problems are solved iteratively. The optimization solution order is waveform peak-to-average ratio constraint, waveform similarity constraint, and unitary matrix constraint. This method is named BF-PSL model. When the results of two iterations meet the convergence condition Or when the maximum number of iterations, 200, is reached, the loop stops.

[0104] According to the iteration sequence, the integrated waveform must satisfy the waveform similarity constraint and the unitary matrix constraint, and can only approach the peak-to-average ratio constraint.

[0105] Figure 2 It is a schematic diagram of the abstract scene distribution of the present invention.

[0106] Abstract the radar communication integration scenario into Figure 2 , determine the simulation parameters of array antennas, radar targets and communication nodes.

[0107] The specific settings of simulation parameters are as follows:

[0108] Table 1: Simulation parameters related to integrated waveform design

[0109]

[0110]

[0111] In Table 1 the parameters and Figure 2 In the abstract scenario shown in Figure 1, if the beamforming algorithm is not introduced, and only the minimization of the transmit power is used as the objective function, and the transmit waveform state and the waveform constant envelope characteristics in the specified azimuth are used as constraints, a traditional integrated waveform design method (named FFRED model) is constructed, and the alternating projection algorithm is used to solve the integrated waveform. The simulation results are shown in Figure 1. Figures 3 to 5 As shown by the dashed line, Figure 3 For radar waveform synthesis effect, Figure 4 For communication waveform synthesis effect, Figure 5 is the actual transmission beam pattern. Figures 3-4 It can be seen that the FFRED model synthesizes the expected radar waveform and communication waveform at the specified direction. Figure 5 It can be seen that in the actual transmission beam pattern of the FFRED model, the radar beam peak is 12.94dB, the communication beam peak is 9.94dB, the peak sidelobe ratio of the beam pattern is -3.26dB, and the integrated sidelobe ratio is -3.88dB.

[0112] The peak-to-average ratio of the integrated waveform obtained by simulation is 1.43. The simulation results are as follows: Figures 3 to 5 The solid line shows Figure 3 For radar waveform synthesis effect, Figure 4 For communication waveform synthesis effect, Figure 5 is the actual transmission beam pattern. Figures 3-4It can be seen that the BF-PSL model synthesizes the desired radar waveform and communication waveform without error in the specified direction, and the amplitude and power of the synthesized waveform are higher than those of the FFRED model. Figure 5 It can be seen that compared with the FFRED model, the peak values ​​of the radar beam and the communication beam of the BF-PSL model are both improved by 2.92dB, the peak sidelobe ratio is improved by 4.95dB, and the integrated sidelobe ratio is improved by 10.39dB. The BF-PSL model concentrates more energy in the direction of the desired target, increases the radar range, improves energy utilization efficiency, and reduces the probability of being detected by the enemy.

[0113] The above simulations show that, compared with existing methods, the present invention can utilize beamforming algorithms to perform integrated waveform design, form a low spatial sidelobe horizontal beam pattern, and synthesize specified types of waveforms in different orientations, taking into account both radar and communication functions.

[0114] Figure 6 This is a schematic diagram of the radar communication integrated waveform generation device of the present application.

[0115] The present application also proposes a radar communication integrated waveform generating device, which is used to implement the method described in any one of the embodiments of the present application, comprising an antenna array 51 and a controller 52;

[0116] The antenna array comprises M array elements with a spacing of d, and when the length of the timing sequence of the signal transmitted by each array element is N, an M×N waveform matrix is ​​formed;

[0117] The controller is used to generate the integrated waveform and control the antenna array to generate the radar waveform and the communication waveform in the direction of the radar beam and the communication beam respectively. The controller includes a processor for implementing the method described in steps 10 to 40 and 41 to 43 of the embodiment of the present application.

[0118] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0119] Therefore, the present application also proposes a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method described in any embodiment of the present application is implemented.

[0120] The present invention is described with reference to the flowchart and / or block diagram of the method, device (system), and computer program product according to the embodiment of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the process and / or box in the flowchart and / or block diagram 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 produce a device for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0121] 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 a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0122] These computer program instructions may 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, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0123] Furthermore, the present application also proposes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any embodiment of the present application when executing the computer program.

[0124] Figure 66 is a structural diagram of an electronic device provided by an embodiment of the present application. This embodiment provides an electronic device 60, which includes: one or more processors 62; a storage device 61, which is used to store one or more programs. When the one or more programs are run by the one or more processors 62, the one or more processors 62 implement the radar communication integrated waveform generation method provided by any embodiment of the present application, including: based on the relationship between the array antenna steering vector, the waveform covariance matrix and the transmission power, the waveform covariance matrix is ​​optimized to obtain the expected waveform covariance matrix, and the constraints include: the transmission power of each antenna array element is equal, the peak sidelobe ratio of the transmission beam is within the set upper and lower threshold limits, and the power difference between the radar beam direction and the communication beam direction is a set value; the time domain sequence of the radar waveform and the communication waveform is set; the waveform matrix is ​​optimized to obtain an integrated waveform, and the optimization target is that the Euclidean distance between the actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is ​​less than the set threshold, and the constraints are: the peak-to-average ratio of the waveform transmitted by any array element is less than the set threshold, and the coherently synthesized waveforms in the radar beam and communication beam directions are radar waveforms and communication waveforms, respectively.

[0125] like Figure 6 As shown, the electronic device may also include an input device 63 and an output device 64; the processor 62, the storage device 61, the input device 630 and the output device 64 in the electronic device may be connected via a bus or other means. Figure 6 The connection via bus 65 is taken as an example.

[0126] The storage device 61, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and module units, such as program instructions corresponding to the radar communication integrated waveform generation method in the embodiment of the present application.

[0127] The storage device 61 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal, etc. In addition, the storage device 61 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the storage device 61 may further include a memory remotely arranged relative to the processor 62, and these remote memories may be connected via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0128] The input device 63 may be used to receive input numbers, character information or voice information, and to generate key signal inputs related to user settings and function control of the electronic device. The output device 64 may include electronic devices such as a display screen and a speaker.

[0129] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0130] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A radar communication integrated waveform generation method, characterized in that: The following steps are involved: Based on the relationship between the array antenna steering vector, the waveform covariance matrix and the transmit power, the waveform covariance matrix is ​​optimized to obtain the desired waveform covariance matrix. The constraints include: the transmit power of each antenna element is equal, the peak sidelobe ratio of the transmit beam is within the set upper and lower threshold limits, and the power difference between the radar beam direction and the communication beam direction is the set value. Set up the time domain sequence of radar waveform and communication waveform; The waveform matrix is ​​optimized to obtain an integrated waveform. The optimization goal is that the Euclidean distance between the actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is ​​less than a set threshold. The constraint conditions are: the peak-to-average ratio of the waveform transmitted by any array element is less than the set threshold, and the coherently synthesized waveforms in the radar beam and communication beam directions are the radar waveform and the communication waveform respectively. The parameters of the radar waveform include: signal type, waveform amplitude, bandwidth B, and pulse width T, wherein the waveform amplitude is the square root of the peak value of the radar beam; The parameters of the communication waveform include: waveform amplitude, modulation mode, number of symbols, and modulation order, wherein the waveform amplitude is obtained by the radar waveform amplitude and the power difference; When the Euclidean distance between the actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is ​​0, the optimization objective function is simplified to the change between the waveform matrix and the expected waveform covariance matrix, expressed as: ;in, is the waveform matrix, R0 is the expected waveform covariance matrix, N is the time domain sequence length; is a unitary matrix, satisfying .

2. The radar communication integrated waveform generation method as claimed in claim 1, characterized in that: The upper threshold limit of the peak sidelobe ratio is set to -2dB, and the lower threshold limit is set to -15dB.

3. The radar communication integrated waveform generation method as claimed in claim 1, characterized in that: The step of optimizing the waveform matrix to obtain an integrated waveform obtains a waveform matrix with the smallest variation compared with the expected waveform covariance matrix under the peak-to-average ratio constraint.

4. The radar communication integrated waveform generation method as claimed in claim 1, characterized in that: The step of optimizing the waveform matrix to obtain an integrated waveform obtains a waveform matrix having the smallest variation compared with the expected waveform covariance matrix under the waveform similarity constraint.

5. The radar communication integrated waveform generation method as claimed in claim 3 or 4, characterized in that: The peak-to-average ratio constraint and waveform similarity constraint are applied alternately by the alternating projection method. When the difference of the waveform matrices obtained by two iterations is less than the convergence threshold, the obtained waveform matrix is ​​the final radar communication integrated waveform.

6. A radar communication integrated waveform generation device, used to implement the radar communication integrated waveform generation method according to any one of claims 1 to 5, characterized in that: Including antenna array and controller; The antenna array comprises M array elements with a spacing of d, and when the length of the timing sequence of the signal transmitted by each array element is N, an M×N waveform matrix is ​​formed; The controller is used to generate the integrated waveform and control the antenna array to generate a radar waveform and a communication waveform in the direction of the radar beam and the communication beam respectively.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

8. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

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