CN115097390A - Radar communication integrated waveform generation method and equipment - Google Patents
Radar communication integrated waveform generation method and equipment Download PDFInfo
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- CN115097390A CN115097390A CN202210725155.6A CN202210725155A CN115097390A CN 115097390 A CN115097390 A CN 115097390A CN 202210725155 A CN202210725155 A CN 202210725155A CN 115097390 A CN115097390 A CN 115097390A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/28—Details of pulse systems
- G01S7/282—Transmitters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
Abstract
The application discloses a radar communication integrated waveform generation method, which comprises the following steps: optimizing the waveform covariance matrix to obtain an expected waveform covariance matrix based on the relationship among the array antenna steering vector, the waveform covariance matrix and the transmitting power; setting a time domain sequence of a radar waveform and a communication waveform; and optimizing the waveform matrix to obtain an integrated waveform, wherein the optimization target is that the Euclidean distance between an actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is smaller than a set threshold value. The application also includes an apparatus for implementing the method. The problem that the integrated waveform emission beam pattern in the prior art is high in sidelobe and low in energy utilization rate is solved.
Description
Technical Field
The present application relates to the field of radar and communication technologies, and in particular, to a method and an apparatus for generating a radar-communication integrated waveform.
Background
With the continuous development of scientific theory and information technology, the space electromagnetic environment is increasingly complex, the demand on a multifunctional comprehensive electronic information system is remarkably increased, and the application scenes such as earthquake relief, intelligent transportation, unmanned driving and the like need to have the capabilities of high-speed communication, high-resolution radar perception and the like at the same time, and the radar communication integrated system is one of effective ways for meeting the demands. In order to solve the problems of system equipment redundancy, electromagnetic incompatibility, frequency spectrum conflict and the like caused by the increase of electronic equipment on the same platform, a large amount of research is carried out at home and abroad, a radar communication integrated system is developed in four stages of an independent structure, a combined structure, a comprehensive electronic structure and a highly comprehensive structure, and the core focus and difficulty of the current stage are waveform integration, namely, the integration waveform under the same frame is adopted to realize multifunctional multiplexing through an ultra wide band reconfigurable antenna.
At present, the research on radar communication integrated waveforms mainly includes two aspects of integrated waveforms based on a single antenna and integrated waveforms based on an array antenna. The integrated waveform research based on the single antenna mainly focuses on the time-frequency domain, and provides a time-frequency multiplexing waveform, a radar sharing waveform and a communication sharing waveform. The integrated waveform design based on the single antenna is sufficient, but the method mainly considers the realization of the waveform function and ignores the actual array form. With the development of science and technology, the MIMO technology is widely applied in the communication and radar fields, and the integrated waveform design based on the array antenna becomes a research hotspot and an inevitable trend. The integrated waveform design based on the array antenna can be classified into three types, namely a split array system, a common array plane single-beam system and a common array plane multi-beam system. The sub-array system respectively realizes radar and communication functions by dividing the array into different areas, wherein the radar waveform and the communication waveform can use any waveform without limitation, but can divide the transmitted energy and reduce the radar detection distance, and in addition, because the radar power is higher than the communication power, the radar side lobe inevitably causes interference to the communication main lobe; the common array plane single-beam system realizes a radar function by utilizing a beam main lobe, the side lobe realizes a communication function by modulating amplitude, phase and the like, at the moment, the communication only supports line-of-sight transmission and has lower transmission rate, and the communication power is limited by the actual communication direction; and the array-sharing multi-beam system simultaneously generates a plurality of main beams which respectively correspond to radar and communication functions. McCormick et al, in the published paper "Simultaneous Radar and communications emission from a common alert, part I: Theory [ C ].2017IEEE Radar Conference,2017: 1685-. In summary, the method for waveform design based on the array antenna in the existing integrated waveform design scheme is still in the initial stage, and the existing scheme fails to fully utilize the spatial freedom of the array antenna and can not meet the requirements of radar and communication performance at the same time.
Disclosure of Invention
The application provides a radar communication integrated waveform generation method and equipment, which introduce the freedom degree of an array antenna into waveform design, synthesize specified waveforms in different directions to further realize radar detection and wireless communication functions, and solve the problems of high sidelobe and low energy utilization rate of an integrated waveform emission beam pattern in the prior art.
In one aspect, an embodiment of the present application provides a radar communication integrated waveform generation method, including the following steps:
based on the relation among the array antenna steering vector, the waveform covariance matrix and the transmitting power, the waveform covariance matrix is optimized to obtain an expected waveform covariance matrix, and the constraint conditions comprise: the transmitting power of each antenna array element is equal, the peak-to-side lobe ratio of the transmitted wave beam is within the range of the upper threshold and the lower threshold, and the power difference between the radar wave beam direction and the communication wave beam direction is a set value;
setting a time domain sequence of a radar waveform and a communication waveform;
optimizing a waveform matrix to obtain an integrated waveform, wherein the optimization target is that the Euclidean distance between an actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is smaller than a set threshold value, and the constraint condition is as follows: the peak-to-average ratio of the transmitted waveform of any array element is smaller than a set threshold value, and the coherent synthesized waveforms in the radar wave beam direction and the communication wave beam direction are respectively a radar waveform and a communication waveform.
Preferably, the peak-to-side lobe ratio sets the upper threshold to be-2 dB and the lower threshold to be-15 dB.
Preferably, the parameters of the radar waveform include: signal type, waveform amplitude, bandwidth B, pulse width T, where waveform amplitude is the square root of the radar beam peak.
Preferably, the parameters of the communication waveform include: waveform amplitude, modulation mode and symbol number N bit Modulation order M bit Wherein the waveform amplitude is obtained from 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, simplifying the optimization objective function into the variation of the waveform matrix compared with the expected waveform covariance matrix, and expressing the variation as follows:
wherein X is the waveform matrix, R 0 For the desired waveform covariance matrix, N is the time domain sequence length;
is a unitary matrix and satisfies UU H ＝I MN 。
Further, in the step of optimizing the waveform matrix to obtain an integrated waveform, the waveform matrix with the minimum variation compared with the expected waveform covariance matrix is obtained under the constraint condition of peak-to-average ratio.
Further, in the step of optimizing the waveform matrix to obtain the integrated waveform, the waveform matrix with the minimum variation compared with the expected waveform covariance matrix is obtained under the constraint of waveform similarity.
Further, a peak-to-average ratio constraint condition and a waveform similarity constraint condition are alternately applied by an alternative projection method, and when the difference of waveform matrixes obtained by two iterations is smaller than a convergence threshold value, the obtained waveform matrix is the final radar communication integrated waveform.
In a second aspect, the present application further provides a radar communication integrated waveform generating device, configured to implement the method according to any one of the embodiments of the first aspect of the present application, where the radar communication integrated waveform generating device includes an antenna array and a controller;
the antenna array comprises M array elements with the distance of d, and when the length of a time sequence of a signal transmitted by each array element is N, an M multiplied by N waveform matrix is formed;
the controller is used for generating the integrated waveform and controlling the antenna array to respectively generate a radar waveform and a communication waveform in the directions of the radar beam and the communication beam.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:
the method can fully utilize the spatial freedom degree of the array antenna, introduces a beam forming algorithm to carry out the design of the transmitting beam pattern and the integrated waveform, obtains the transmitting beam pattern with low spatial side lobe level by restricting the peak side lobe ratio of the transmitting beam pattern, and realizes the power distribution of radar waveform and communication waveform. And respectively synthesizing expected radar waveforms and communication waveforms in the specified directions, and realizing radar and communication functions under the same-frequency condition. The method is used for designing and generating the integrated waveform, so that a transmitting beam pattern with good spatial side lobe level can be obtained, the requirements of wireless communication and radar detection on the transmitting waveform are considered, and compromise processing of radar performance and communication performance is avoided. In addition, the whole implementation process of the method is relatively simple and does not involve complex operation.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1(a) is a flow chart of an embodiment of the method of the present invention;
FIG. 1(b) is a flow chart of the optimization by the alternative projection method in the method of the present invention;
FIG. 2 is a schematic diagram of the working directions of radar beams and communication beams in an application scenario of the present invention;
FIG. 3 is a graph comparing the combined effect of a radar waveform of a conventional method and a radar waveform of the present invention at the same transmission power;
FIG. 4 is a comparison of the composite effect of a communication waveform of a conventional method and a communication waveform of the present invention at the same transmission power;
FIG. 5 is a comparison of a transmit beam pattern of a conventional method and a transmit beam pattern of the present invention at the same transmit power;
FIG. 6 is a schematic diagram of an integrated waveform generator for radar communication according to the present invention;
fig. 7 is a schematic diagram of an embodiment of the electronic device of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
FIG. 1(a) is a flow chart of an embodiment of the method of the present invention;
the embodiment of the application provides a radar communication integrated waveform generation method, which comprises the following steps:
and step 10, determining the scale of the array antenna and various parameters of a transmitting beam pattern, and calculating a steering vector.
Calculating a steering vector a (theta) from the formula (1) according to the simulation parameters
In the formula [ ·] T For transpose transform, f 0 Is the signal carrier frequency, d is the array element spacing, and theta is the azimuth.
The parameters of the transmitting beam pattern at least comprise the azimuth theta of the radar target r0 Orientation theta of communication node c0 Radar 3dB beam width theta rr -θ rl And a 3dB communication beam width theta cr -θ cl Power difference Δ P of radar beam peak and communication beam peak rc 。
And step 20, establishing an optimization model of the transmit waveform covariance matrix and solving.
Based on the relation among the array antenna steering vector, the waveform covariance matrix and the transmitting power, the waveform covariance matrix is optimized to obtain an expected waveform covariance matrix, and the constraint conditions comprise: the transmitting power of each antenna array element is equal, the peak-to-side lobe ratio of the transmitted wave beam is within the range of the upper threshold and the lower threshold, and the power difference between the radar wave beam direction and the communication wave beam direction is a set value;
in the theta direction, the synthesized waveform can be expressed as
s(θ,n)＝a H (θ)x(n) (2)
Wherein x (n) ═ x 1 (n)…x M (n)] T And the waveform vector is the integrated waveform vector of all array elements at the nth sampling moment. The superscript "H" denotes conjugation.
At this time, the transmission power corresponding to the synthesized waveform in the θ direction may be expressed as
In the formula (I), the compound is shown in the specification,
is a waveform covariance matrix, and X is an integrated waveform matrix.
Establishing a convex optimization model of a waveform covariance matrix R and solving, wherein the constraint conditions of the matrix R are as follows:
constraint 1: r is more than or equal to 0 and is a semi-positive definite matrix constraint;
constraint 2:
a 3dB width constraint for radar and communication beams;
constraint 3: a is H (θ r0 )Ra(θ r0 )-a H (θ c0 )Ra(θ c0 )＝ΔP rc Controlling power distribution between the two functions for radar beam and communication beam power difference constraints;
constraint 4: r mm ＝P t M is a transmit power constraint for each array element, where P is t M is the number of array elements and is the total transmitting power;
constraint 5:
the peak side lobe ratio constraint of a transmitting beam pattern is realized, wherein a (theta) is a guide vector corresponding to the azimuth theta, omega is a side lobe coverage area, and pslr is sup And pslr inf Respectively is the upper threshold and the lower threshold of the peak value sidelobe ratio of the beam pattern;
preferably, the upper threshold limit of the peak-to-side lobe ratio is set to be-2 dB, and the lower threshold limit is set to be-15 dB. For example, in constraint 5, pslr sup ＝-2(dB)、pslr inf The simulation result statistical analysis of the azimuth distribution conditions of various radars and communication targets shows that the set of parameters can ensure that the convex optimization model of the waveform covariance matrix has the optimal solution, and the corresponding integrated waveform performance is excellent.
And step 30, setting time domain sequences of the radar waveform and the communication waveform.
Preferably, the parameters of the radar waveform include: signal type, waveform amplitude, bandwidth B, pulse width T, where waveform amplitude is the square root of the radar beam peak.
Preferably, the parameters of the communication waveform include: waveform amplitude, modulation mode and symbol number N bit Modulation order M bit Wherein the waveform amplitude is obtained from the radar waveform amplitude and the power difference.
Expectation radarWave form s r Desired communication waveform s c To at theta r0 Directionally synthesizing the desired waveform s r Integral wave form needs to satisfy
To be at theta c0 Directionally synthesizing the desired waveform s c Integral wave form needs to satisfy
From this, a waveform similarity constraint A can be constructed H X ═ S, where a ═ a (θ) r0 ) a(θ c0 )]，S＝[s r s c ] T 。
Generation of a desired radar waveform s using a desired beam pattern and various parameters r And communication waveform s c . When theta is equal to theta r0 When the transmitting beam pattern is aligned to the radar target direction, the synthesized waveform in the direction is required to be a radar LFM waveform, namely, the constraint condition is required to be met:
when theta is equal to theta c0 When the transmission beam pattern is aligned to the direction of the communication node, the synthesized waveform in the direction is required to be the communication waveform carrying information, namely the constraint condition is required to be met:
through the matrixing processing of formulas (4) and (5), the waveform similarity constraint expression can be organized as follows:
A H X＝S (6)
and step 40, constructing an optimization model of the integrated waveform by taking the minimum waveform covariance matrix estimation error as a criterion, and carrying out iterative solution to obtain the final radar communication integrated waveform.
In step 40, optimizing the waveform matrix to obtain an integrated waveform, wherein 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 smaller than a set threshold, and the constraint conditions are as follows: the peak-to-average ratio of the wave form transmitted by any array element is smaller than a set threshold value, and the coherent synthesis wave forms in the radar wave beam direction and the communication wave beam direction are respectively a radar wave form and a communication wave form.
When the integrated waveform only meets the waveform similarity constraint, the waveform amplitude may vibrate violently, an unacceptable high peak-to-average ratio problem is generated, the working efficiency of the power amplifier is reduced, and the detection power of the radar and the transmission efficiency of communication are affected, so that the peak-to-average ratio constraint is introduced to the integrated waveform.
The peak-to-average ratio is defined as:
defining mu to represent the expectation value of the peak-to-average ratio, the expression of the waveform peak-to-average ratio constraint is:
optionally, in step 40, the objective function of the integrated waveform X is specifically:
wherein the subscript "F" represents the Frobenius norm. The objective function is a fourth-order non-convex polynomial which is difficult to solve and needs to be simplified firstly.
In an embodiment of any one of the methods of the present application, when a euclidean distance between an actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is 0, an optimization objective is simplified.
When f is 0, the objective function is reduced to
Wherein X is the waveform matrix, R 0 And N is the time domain sequence length.
Is a unitary matrix and satisfies UU H ＝I MN . Equation (10) represents the variation of the waveform matrix compared to the desired waveform covariance matrix.
A complex matrix representing M x N dimensions.
Then combining waveform similarity constraint and waveform peak-to-average ratio constraint to construct an integrated waveform optimization model expressed as
Wherein μ is the upper limit of the peak-to-average ratio.
FIG. 1(b) is a flow chart of the optimization by the alternative projection method in the method of the present invention.
The step of optimizing the waveform matrix to obtain an integrated waveform further comprises the step of using an alternative projection method to apply a peak-to-average ratio constraint condition and a waveform similarity constraint condition in turn:
and step 41, obtaining a waveform matrix with the minimum variation compared with the expected waveform covariance matrix under the constraint condition of peak-to-average ratio.
Optionally, the optimization function in step 40 is non-convex, and the optimization problem is split into sub-optimization problems respectively corresponding to the constraint conditions by using an alternative projection method to perform iterative solution; under the constraint of the peak-to-average ratio of the waveform, the optimization function is
When μ ═ 1, the solution can be obtained directly as
And 42, under the constraint of waveform similarity, obtaining a waveform matrix with the minimum variation compared with the expected waveform covariance matrix.
The solution X is obtained 0 Substituting into a sub-optimization problem under the waveform similarity constraint, wherein the optimization function is
The solution X is obtained 0 Substituting into the sub-optimization problem under the constraint of unitary matrix, the optimization function is
And 43, repeatedly executing the steps 41 to 42, and when the difference of the waveform matrixes obtained by the two iterations is smaller than a convergence threshold value, obtaining the waveform matrix as a final radar communication integrated waveform.
For example, when the Frobenius norm of the error of the two iterations is smaller than the convergence threshold, the final radar communication integration waveform is obtained.
In another embodiment of the present application, the sub-optimization problem shown in equation (14) is solved directly by using the Lagrange multiplier method to obtain the analytic solution
X＝A(A H A) -1 S-A(A H A) -1 A H X 0 +X 0 (16)
Then in step 41, under the constraint of the unitary matrix, the formula (16) is substituted into the corresponding sub-optimization problem, the optimization function being specifically expressed as
The sub-optimization problem is orthogonal PuluThe problem of grams, having a global closed-form solution based on singular value decomposition, is solved by first
Singular value decomposition is carried out:
in the formula (I), the compound is shown in the specification,
is a left-unitary matrix, and is,
is a right unitary matrix. A solution to the sub-optimization problem is then obtained
And (3) iteratively solving the three sub-optimization problems, wherein the optimization solving sequence is respectively waveform peak-to-average ratio constraint, waveform similarity constraint and unitary matrix constraint, and the method is named as a BF-PSL model. When the results of two iterations satisfy the convergence condition
Or when the maximum number of iterations 200 is reached, the loop is stopped.
According to the iteration sequence, the integrated waveform can meet waveform similarity constraint and unitary matrix constraint and can only approach peak-to-average ratio constraint.
FIG. 2 is a diagram of an abstract scene distribution of the present invention.
And abstracting a radar communication integration scene into a diagram 2, and determining simulation parameters of the array antenna, the radar target and the communication node.
The specific settings of the simulation parameters are as follows:
table 1: integrated waveform design related simulation parameters
Under the abstract scenes shown in table 1 and fig. 2, if a beam forming algorithm is not introduced, a traditional integrated waveform design method (named as FFRED model) is formed by only using the minimum transmit power as a target function and using the transmit waveform state and the waveform constant envelope characteristic in the specified direction as constraint conditions, an integrated waveform is solved by using an alternative projection algorithm, and the simulation result is shown by a dotted line in fig. 3-5, wherein fig. 3 is a radar waveform synthesis effect, fig. 4 is a communication waveform synthesis effect, and fig. 5 is an actual transmit beam diagram. As can be seen from fig. 3 to 4, the FFRED model synthesizes a desired radar waveform and a desired communication waveform in a specific direction. As can be seen from FIG. 5, the peak value of the radar beam in the actual transmission beam pattern of the FFRED model is 12.94dB, the peak value of the communication beam is 9.94dB, the peak-to-side lobe ratio of the beam pattern is-3.26 dB, and the integral-to-side lobe ratio is-3.88 dB.
The peak-to-average ratio of the integrated waveform obtained by simulation is 1.43, and the simulation result is shown by solid lines in fig. 3-5, wherein fig. 3 is a radar waveform synthesis effect, fig. 4 is a communication waveform synthesis effect, and fig. 5 is an actual transmission beam pattern. As can be seen from fig. 3 to 4, the BF-PSL model synthesizes the expected radar waveform and the communication waveform without errors in the designated direction, and the amplitude and power of the synthesized waveform are higher than those of the FFRED model. According to fig. 5, compared with the FFRED model, the peak values of the radar beam and the communication beam of the BF-PSL model are both increased by 2.92dB, the peak-to-side lobe ratio is improved by 4.95dB, the integral-to-side lobe ratio is improved by 10.39dB, the BF-PSL model gathers more energy in the expected target direction, the radar action distance is increased, the energy utilization efficiency is improved, and the probability of being detected by an enemy is reduced.
The simulation shows that compared with the existing method, the method can utilize a beam forming algorithm to carry out integrated waveform design, form a low-space side lobe horizontal beam pattern, synthesize specified type waveforms in different directions, and take radar and communication functions into account.
Fig. 6 is a schematic diagram of a radar communication integrated waveform generating device according to the present application.
The application also provides a radar communication integrated waveform generating device, which is used for realizing the method in any embodiment of the application and comprises an antenna array 51 and a controller 52;
the antenna array comprises M array elements with the distance of d, and when the length of a time sequence of a signal transmitted by each array element is N, an M multiplied by N waveform matrix is formed;
the controller is used for generating the integrated waveform and controlling the antenna array to respectively generate a radar waveform and a communication waveform in the directions of the radar beam and the communication beam. The controller comprises a processor and is used for realizing the method in steps 10-40 and 41-43 of the embodiment of the application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application therefore also proposes a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of the embodiments of the present application.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Further, the present application also proposes an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method according to any of the embodiments of the present application.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The present embodiment provides an electronic device 60, which includes: one or more processors 62; the storage device 61 is configured to store one or more programs, and when the one or more programs are executed by the one or more processors 62, the one or more processors 62 implement the radar communication integration waveform generation method provided in any embodiment of the present application, including: based on the relation among the array antenna steering vector, the waveform covariance matrix and the transmitting power, optimizing the waveform covariance matrix to obtain an expected waveform covariance matrix, wherein the constraint conditions comprise: the transmitting power of each antenna array element is equal, the peak-to-side lobe ratio of the transmitted wave beam is within the range of the upper threshold and the lower threshold, and the power difference between the radar wave beam direction and the communication wave beam direction is a set value; setting a time domain sequence of a radar waveform and a communication waveform; optimizing a waveform matrix to obtain an integrated waveform, wherein the optimization target is that the Euclidean distance between an actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is smaller than a set threshold value, and the constraint condition is as follows: the peak-to-average ratio of the transmitted waveform of any array element is smaller than a set threshold value, and the coherent synthesized waveforms in the radar wave beam direction and the communication wave beam direction are respectively a radar waveform and a communication waveform.
As shown in fig. 6, the electronic apparatus may further include an input device 63 and an output device 64; the processor 62, the storage means 61, the input means 630 and the output means 64 in the electronic device may be connected by a bus or other means, in fig. 6 by way of example by a bus 65.
The storage device 61 is a computer-readable storage medium, and 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.
The storage device 61 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage device 61 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the storage device 61 may further include memory located remotely from the processor 62, which may be connected via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 63 may be used to receive input numerals, character information, or voice information, and to generate key signal inputs related to user settings and function control of the electronic apparatus. The output device 64 may include a display screen, speakers, or other electronic equipment.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. 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 (10)
1. A radar communication integrated waveform generation method is characterized by comprising the following steps:
based on the relation among the array antenna steering vector, the waveform covariance matrix and the transmitting power, the waveform covariance matrix is optimized to obtain an expected waveform covariance matrix, and the constraint conditions comprise: the transmitting power of each antenna array element is equal, the peak-to-side lobe ratio of the transmitted wave beam is within the range of the upper threshold and the lower threshold, and the power difference between the radar wave beam direction and the communication wave beam direction is a set value;
setting a time domain sequence of a radar waveform and a communication waveform;
optimizing a waveform matrix to obtain an integrated waveform, wherein the optimization target is that the Euclidean distance between an actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is smaller than a set threshold value, and the constraint condition is as follows: the peak-to-average ratio of the wave form transmitted by any array element is smaller than a set threshold value, and the coherent synthesis wave forms in the radar wave beam direction and the communication wave beam direction are respectively a radar wave form and a communication wave form.
2. The radar-communication-integrated waveform generating method according to claim 1,
the upper threshold limit of the peak value sidelobe ratio is set to be-2 dB, and the lower threshold limit is set to be-15 dB.
3. The radar-communication-integrated waveform generating method according to claim 1,
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 a radar beam;
the parameters of the communication waveform include: the radar signal processing method comprises the steps of waveform amplitude, a modulation mode, symbol number and a modulation order, wherein the waveform amplitude is obtained through the radar waveform amplitude and the power difference.
4. The radar-communication-integrated waveform generating method according to claim 1,
when the Euclidean distance between the actual waveform covariance matrix corresponding to the waveform matrix and the expected waveform covariance matrix is 0, simplifying the optimization objective function into the variation of the waveform matrix compared with the expected waveform covariance matrix, and expressing the variation as follows:
wherein X is the waveform matrix, R 0 For the desired waveform covariance matrix, N is the time domain sequence length;
is a unitary matrix and satisfies UU H ＝I MN 。
5. The radar-communication-integrated waveform generating method according to claim 4, wherein the step of optimizing the waveform matrix to obtain the integrated waveform obtains the waveform matrix with the smallest variation compared to the desired waveform covariance matrix under a constraint of peak-to-average ratio.
6. The radar-communication-integrated waveform generating method according to claim 4, wherein the step of optimizing the waveform matrix to obtain the integrated waveform obtains the waveform matrix with the smallest variation compared to the desired waveform covariance matrix under a waveform similarity constraint.
7. The radar communication integrated waveform generation method according to claim 5 or 6, wherein a peak-to-average ratio constraint condition and a waveform similarity constraint condition are alternately applied by an alternative projection method, and when a difference between waveform matrices obtained by two iterations is smaller than a convergence threshold value, the obtained waveform matrix is a final radar communication integrated waveform.
8. A radar communication integrated waveform generation device for realizing the radar communication integrated waveform generation method according to any one of claims 1 to 7, which is characterized by comprising an antenna array and a controller;
the antenna array comprises M array elements with the distance of d, and when the length of a time sequence of a signal transmitted by each array element is N, an M multiplied by N waveform matrix is formed;
the controller is used for generating the integrated waveform and controlling the antenna array to respectively generate a radar waveform and a communication waveform in the directions of the radar wave beam and the communication wave beam.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method according to any of claims 1 to 7 when executing the computer program.
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