CN115508795A - Detection and interference integrated shared signal dynamic generation method - Google Patents
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Abstract
The invention relates to a dynamic generation method of a detection and interference integrated shared signal, belonging to the field of radar electronic warfare; the method comprises the following steps: firstly, aiming at an airspace where a real radar and a false target coexist, calculating the total force updating step quantity of the false target based on a virtual force field algorithm, moving the position of each false target according to the step quantity, and calculating the position of an echo signal corresponding to a detection interference shared signal of the real radar target; judging whether the position of the current false target after movement conflicts with the position of the corresponding echo signal; until the number of false target pulses reaches the value of m; calculating a maximum unambiguous distance and a maximum unambiguous speed, updating a set maximum distance range and a set maximum speed range, reserving the current positions of all false targets to transmit sounding trunk sharing signal waveforms, and implementing detection and interference on a non-cooperative party; the invention overcomes the problems of time sequence conflict, pulse overlapping and the like in the field of lightning integration, and realizes the matching compatibility of detection, interference and reconnaissance channels in a coherent processing period.
Description
Technical Field
The invention belongs to the field of radar electronic warfare, and relates to the fields of digital frequency storage, reconnaissance signal processing, radar signal processing, artificial intelligence and the like; in particular to a dynamic generation method of a detection interference integrated shared signal.
Background
In order to improve the survival rate of a combat platform and operators and enhance the combat efficiency of modern weaponry, an effective way is to realize the integrated sharing of radar and electronic combat equipment. In addition, the commonness of the radar and the electronic warfare equipment in the aspect of using the electromagnetic spectrum determines the integrated design of the radar and the electronic warfare equipment, and the integrated mode can reduce the volume, the bearing and the energy consumption of the equipment, which is the initial and most basic concept and the most intuitive target of the integration of the radar and the electronic warfare (short for thunder and lightning integration).
The main advantages of the integrated lightning operation platform include that the complexity and the maintenance cost of the operation platform system are reduced, the utilization rate of equipment is increased, the hardware combination of radar and electronic operation equipment is not simply realized, the radar and the electronic operation equipment are functionally superior and short-avoided, the detection, interference resistance, battlefield survival and other key capabilities of the integrated lightning operation platform are improved, and therefore the comprehensive operation capability of the operation platform is improved.
At present, the research on the integrated system for detecting and interfering at home and abroad is only limited to hardware integration or signal splicing, and the energy sharing on the detecting and interfering functions is not completely realized, and along with the development of various key technologies, the realization of the integrated sharing of detecting and interfering (for short: probe trunk sharing) becomes possible and is a necessary trend for the development of future electronic warfare.
For the research of airborne radar electronic war integration, zhou Jingbo [1] Wu Longwen [2] Jiang Jizong [3] The scholars summarize the development process of the integration of foreign radar electronic warfare, and experience three development stages:
the 1 st stage is an information sharing stage, which is an initiation stage for realizing radar detection and electronic warfare measures, only an integrated sharing concept is provided, output signals of respective devices are simply superposed, great breakthroughs are not made in software and hardware, and the two stages are still mutually independent.
The 2 nd stage is a hardware integration stage, which realizes the hardware integration of the intermediate frequency signals and the following parts, the radar and the electronic warfare system share a receiver and signal processing, and the like, but the radio frequency link, the transmitter and the antenna are still mutually independent. Nevertheless, this stage is the rudiment and the important turning point that realize radar detection and electronic warfare equipment are integrative, has laid hardware basis and thought foundation for further realizing detecting the integrated system of interference.
In the 3 rd stage, after being inspired by the active phased array antenna technology and the shared aperture technology, the resource sharing stage makes more subversive progress on the radio frequency front end of the radar electronic warfare integrated system, realizes the fusion of an antenna assembly and a transmitter module, can realize the resource sharing of part of the system, and has better sharing performance and higher use value.
Document [4]]A radar electronic war integrated system thought based on a phased array technology is provided, and simple processes of the scheme under a radar working mode, an electronic station working mode and a radar electronic war time-sharing working mode are discussed. 2019, christoph Wasserzier, germany [5] By adopting the active sensing element with both noise attribute and radar technology, the concept of 'integrated sensor' is more perfectly explained, and the integrated research direction is successfully pushed to the mature stage, experimental results show that the noise radar can simultaneously have the noise interference characteristic and the radar detection performance, and can effectively separate all parallel but different tasks and working modes in the integrated sensorFormula (II) is shown. The development process of the integrated sensor is promoted by the proposal of the basic idea of the noise radar technology.
At present, although the american aviation system has been developed to the fifth generation, the model conception and design direction of the lightning integration system are only studied, and the lightning software integration and the sounding trunk sharing are not really realized, but only the hardware module sharing is realized.
Due to the deep research of a large number of scholars on the lightning integration system in the early stage, the radar and the jammer are found to have inevitable technical barriers in nature; therefore, in recent years, a great deal of literature has put forward many technical requirements on the realization of a lightning integration system, and some of the literature mainly emphasizes key technologies for realizing the integration of radar and jammers, such as a multi-source information processing and multi-data fusion technology, a functional software modularization processing technology, a high-speed signal processing technology, an integrated radio frequency technology, a multi-sensor cooperative detection technology, and the like.
Document [6] proposes a multifunctional radio frequency system based on related software and hardware technologies, and comprehensively discusses key technologies for realizing the multifunctional radio frequency system; the literature [7] analyzes and summarizes the characteristics, framework models and key technologies for constructing ship-borne lightning integration; the literature [8] elaborates the existing reconnaissance technology and interference technology aiming at the coherent system radar, and provides a reconnaissance and interference integrated processing system. However, due to the limitations of such key technologies, domestic research at this stage is rare and rare.
In China, research is always carried out on hardware integration in recent years, the hardware integration is not developed to a mature stage, and the energy sharing of radar detection and interference is not really realized, namely, the integrated shared waveform design of the detection and the interference is realized; moreover, the realization of the lightning integration also requires quite high technical requirements, including a common aperture technology, a high-speed data acquisition technology, a data fusion technology, an intelligent system management and control technology, a radio frequency resource sharing technology and the like. Due to the restriction of key technology, research subjects mainly aim at the aspect of lightning integration system model design, and therefore the research direction of detecting interference integration shared waveform design is not deeply reached, so that radar and jammers are not well fused all the time, and the technical limitations are also the main reasons that the research direction is not in a standstill all the time.
Reference:
[1] zhou Jingbo, hu Bo, jiang Qiuxi netradar countermeasure system initial detection [ J ]. Space electronic countermeasure, 2014, 30 (6): 49-52.
[2] Wu Longwen. Integrated electronic system integrated technology research [ D ]. Harbin: harbin university of industry, 2014.
[3] Jiang Jizong, chen Kailin development of foreign advanced fighter electronic countermeasure system [ J ] firepower and command control, 2005, 30 (7): 3-6+10.
[4] Zou Shun, shao Zhusheng, jin Xueming integrated technology research for airborne radar electronic warfare [ J ]. Space electronic countermeasure, 2009, 25 (3): 25-28.
[5].Wasserzier C,Worms J G and O'Hagan D W.How Noise Radar Technology Brings Together Active Sensing and Modern Electronic Warfare Techniques in a Combined Sensor Concept,"2019 Sensor Signal Processing for Defence Conference(SSPD),Brighton,United Kingdom,2019,pp.1-5.
[6] Multifunctional radio frequency integrated design [ J ] communication technology based on software radio, 2014, 47 (11): 1333-1337.
[7].Krudysz G A and McClellan J H.Teaching Signal Processing Concepts to Digital Natives[J]. ICASSP 2019-2019 IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP),2019,pp.7864-7868.
[8].Tangudu R and Sahu P K.Dynamic Range Improvement of Backscattered Optical Signals using Signal Processing Techniques[J].2020 IEEE Applied Signal Processing Conference(ASPCON),2020,pp. 66-69.
Disclosure of Invention
Aiming at the problems, the invention provides a dynamic generation method of a detection and interference integrated shared signal, which adopts the thought of dynamic obstacle avoidance and digital frequency storage, obtains the detection and interference integrated shared signal based on a virtual force field algorithm and has better deceptive interference effect on a non-cooperator radar; meanwhile, the method has good detection effect on the target in the space; the problems of time sequence conflict, pulse overlapping and the like of the three channels of detection, interference detection and detection are effectively solved.
The dynamic generation method of the detection and interference integrated shared signal comprises the following steps:
step one, aiming at an airspace where a real radar target and m non-cooperative radar false targets coexist, setting a constraint condition meeting the number m of the false targets, so that the false targets are fully paved in a non-cooperative radar channel;
the condition that the number m of the false targets satisfies is as follows:
Wherein, PRI i The pulse repetition period of the current non-cooperative radar is tau, the pulse width of the non-cooperative detection signal is tau, and n is the number of the non-cooperative radar pulse signals received; m is the number of radar signal processing channels of the non-cooperative party, M is the final determined value of the number of false targets and is determined by repetition frequency and pulse width; the higher the repetition frequency of the non-cooperative signal, the wider the pulse width, and the lower the value of m.
Step two, calculating the resultant force of the ith false target based on the virtual force field algorithm
The ith false target moves to the optimal position in an airspace under the influence of resultant force, and the true radar target can avoid the false target pulse;
the method specifically comprises the following steps:
firstly, taking each radar pulse as a node, and introducing a triple < P aiming at the ith false target node i ,L,F i The position, the stress size and the direction of the node are represented;
P i ＝(x i ,y i ,z i ) Is the spatial rectangular coordinate of the ith node; l represents the maximum sensing range of the repulsive force between the nodes;
F i ＝(F xi ,F yi ,F zi ) Respectively representing forces F i Projection components in the directions of the X-axis, the Y-axis and the Z-axis.
Then, for the ith node, calculating the distance between the ith node and the adjacent node by using the space position coordinates, and calculating a repulsion model between the ith node and the adjacent node by using the distance between the ith node and the adjacent node
And obtaining the resultant force of the nodes after further conversion:
the ith node P i Resultant force of
The calculation formula is as follows:
resultant force
Is a node P i The spatial position is subjected to the repulsion vector sum of k nodes existing in the maximum induction range L; node P i At the resultant force
The radar target moves under the action, each node is stressed independently, and when all the nodes move to the balance position, the optimal position is obtained, so that the real radar target can avoid all false targets;
step three, utilizing resultant force
Calculating the step quantity delta x of the ith false target node, and moving the position of each false target according to the step quantity delta x to ensure that the updated false target is still in the range of pulse repetition interval PRI;
the step amount Δ x is calculated by the formula:
where k denotes a repulsive coefficient, which is a fixed value.
The formula for updating the position of the false target is as follows: x is the number of i' ＝x i +Δx；
x i' The position of the ith false target after movement;
step four, calculating the position of an echo signal corresponding to the interference shared signal by using the position of the current false target after moving;
the method specifically comprises the following steps:
first, the maximum range of the spatial domain is set to S max Carrying out grid division, and setting the width of a single grid as r;
per grid characterizing quantity g i When 0, it means that the current grid is a free region, and the decoy pulse can be set or transferred to the region; when g is i When the number is 1, the current grid is an obstacle area, and the false target pulse needs to avoid the area.
When the ith false target is far from the real radar target pulse R km, the moving distance corresponding to the relative time delay is x r Then, the position of the echo signal corresponding to the detection interference shared signal is:
X ri' ＝x i' +x r
step five, judging whether the position of the current false target after moving conflicts with the position of the corresponding echo signal; if yes, entering a sixth step; otherwise, entering step three to continue moving the position of the next false target pulse;
step six, judging whether the number of the current false targets reaches the value of the number m of the input false targets; if yes, calculating the maximum unambiguous distance R' max And maximum unambiguous speed V' max Entering the step seven; otherwise, entering the third step;
maximum unambiguous distance R' max And maximum non-blurred speed V' max The formula is as follows:
R′ max ＝V' max ×t
f rmax the maximum repetition frequency value in the multi-frequency detection signal; λ is the wavelength of the multi-frequency detection signal;
step seven, judging the maximum unambiguous distance R' max And speed V' max Whether it is larger than the set maximum distance range R max And maximum velocity range V max If yes, updating R max 、V max Value is R' max And V' max Keeping the position information of each current false target; otherwise, storing R max And V max Multiple false target location information under conditions;
maximum distance range R max And maximum velocity range V max Setting manually at the beginning;
step eight, transmitting a sounding trunk sharing signal waveform under each false target position to realize the detection and interference of a non-cooperative party;
step nine, judging whether the detection signal of the non-cooperative party is lost in the reconnaissance channel, and if not, continuously performing the step eight; and if so, entering the next observation period, re-intercepting the detection signal sample of the non-cooperative party, performing parameter measurement on the detection signal sample, and implementing a new round of interference detection shared signal design.
The invention has the advantages that:
1) The dynamic generation method of the detection and interference integrated shared signal overcomes the key technical problems of time sequence conflict, pulse overlapping and the like in the field of lightning integration, realizes the matching and compatibility of detection, interference and reconnaissance channels in a coherent processing period, is a shared waveform solution with high feasibility, and provides a new idea for the deep fusion design of a future lightning integration system.
2) The invention relates to a dynamic generation method of a detection and interference integrated shared signal, which introduces a virtual force field algorithm into the research field of the detection and interference integrated shared signal, has simple operation, high convergence speed and good real-time obstacle avoidance effect, and achieves the self-adaptive processing effect of dynamic obstacle avoidance;
3) The invention relates to a dynamic generation method of a detection and interference integrated shared signal, which verifies a designed shared signal pattern from the aspects of signal performance and platform application, and considers both target detection capability and deceptive interference capability, wherein the generated digital frequency storage false target interference multi-dimensional characteristic parameter has high stability coefficient, a false target characteristic is difficult to judge by a non-cooperative party, and the deceptive interference effect is good; the method has stronger non-fuzzy ranging and speed measuring capability and better signal processing capability, and in the same signal processing period, one party can realize real-time detection of the non-cooperative target with better detection performance.
Drawings
FIG. 1 is a diagram of interference detection timing analysis of a heavy frequency stagger radar signal according to the present invention;
FIG. 2 is a flowchart illustrating a method for dynamically generating an integrated interference detection shared signal according to the present invention;
FIG. 3 is a schematic diagram of interaction forces between nodes in a field calculated based on a virtual force field algorithm according to the present invention;
FIG. 4 is a simplified flow diagram of a virtual force field algorithm of the present invention;
FIG. 5 is a schematic diagram of the rasterization of the virtual environment of the present invention;
FIG. 6 is a non-cooperative Fang Leida R-V time frequency analysis graph comparing four different repetition frequencies according to the present invention;
FIG. 7 is a plot of the R-V detection contour at PRF2=25kHz for a non-cooperator radar of the present invention;
FIG. 8 is a plot of the R-V detection contour at PRF3=33.3kHz for the non-cooperator radar of the present invention;
FIG. 9 is a time-frequency overview of our radar;
FIG. 10 is a local graph of detection time and frequency for one party according to the present invention;
FIG. 11 is a diagram illustrating an error analysis of ranging and speed measurement of the interference detection integrated system according to the present invention;
FIG. 12 is a timing diagram of the integrated system for detecting jammers in accordance with the present invention.
Detailed Description
The invention is explained in further detail below with reference to examples and the accompanying drawings.
Since the last century, advanced science and technology countries, represented by the united states, have begun to study and discuss the integration direction of radar electronic warfare, from the initial hardware sharing of radar electronic warfare to the software sharing of avionics systems, to the signal energy sharing of radar electronic warfare, and with the continuous progress of scientific technology, the technology for solving the correlation between software and hardware has developed and matured. At present, the contradiction conflict of the reconnaissance, the detection and the interference on the time sequence is always a main obstacle that the signal energy sharing cannot be exceeded.
As shown in FIG. 1, to ensure the time sequence separation of detection and interference, when the non-cooperative target is known to be at a distance of R km from my party, the echo signal position of the detected interference sharing signal of my party can be deduced, and the relative time delay is T delay = R/C, since the repetition spread signal is the most common signal pattern, it is assumed that, over a certain time span, the uncooperative party transmits a repetition n spread signal,
through a relative time delay T delay Then, receiving a detection signal of a non-cooperative party by one party, transmitting a detection interference sharing signal, generating a certain number of false targets, and entering a radar receiver of the non-cooperative party together with a real echo signal; at the same time, the relative time delay T is passed again delay Thereafter, my party receives an echo signal that my party detects interfering shared signals, as shown in fig. 1 (e). Comparing fig. 1 (c) with fig. 1 (e), it can be known that, at many timings, many overlapping problems occur:
(1) A timing conflict. The pulse transmitted by one party conflicts with the received echo pulse, namely the timing sequence of the radar transmission conflicts with that of the receiving;
(2) The pulses overlap. Receiving the detection interference integrated echo signal transmitted by our party contradicts receiving the detection signal of the non-cooperative party.
Based on this, the invention designs a dynamic generation method of the integrated detection interference shared signal, as shown in fig. 2, the specific steps are as follows:
step one, aiming at an airspace where a real radar target and m non-cooperative radar false targets coexist, setting a constraint condition meeting the number m of false targets, and enabling false target pulses to be paved in a non-cooperative radar channel;
observing a non-cooperative radar, collecting a detection sample signal, and carrying out deceptive modulation on a distance dimension and a speed dimension on a stored non-cooperative radar signal pulse sample according to a basic working mode of a digital radio frequency storage interference source. Setting the position where each detection sample signal appears as an obstacle area, meanwhile, calculating the number m of false targets under the condition of meeting the constraint condition, and paving the false targets in a radar channel of a non-cooperative party as much as possible;
the number m of the false targets satisfies the following conditions:
Wherein, PRI i The method comprises the steps that a pulse repetition period of a current non-cooperative radar is shown, tau is the pulse width of a detection signal of the non-cooperative radar, n is the number of radar pulses of the non-cooperative radar detected and searched by a party, and n radar targets are provided, namely n echo pulses exist in each transmitted pulse; m is the multi-target searching capability of the non-cooperative radar and is also the number of signal processing channels; m is the final determined value actively input by the commander and is determined by repetition frequency and pulse width; when the repetition frequency of the non-cooperative side signal is higher and the pulse width is wider, the m value is lower; the wider the pulse width, the higher the value of m. Therefore, in order to optimize the effect of the deceptive jamming, the non-cooperative radar channels should be paved with the false targets as much as possible under the condition of satisfying the large precondition.
Step two, calculating the resultant force of the ith false target based on the virtual force field algorithm
The ith false target moves to the optimal position in an airspace under the influence of resultant force, and the real radar target can avoid the false target;
in the existing detection signals, the most common detection signals are pulse Doppler system signals, the characteristics of the signals such as repetition frequency, pulse width and the like of the signals are variable and contain various different signal pattern types, and the conventional interference patterns are difficult to achieve a good interference effect;
therefore, for such signals, in practical equipment, a Digital Radio Frequency (DRFM) forwarding type signal pattern interference pattern or a dense false target interference pattern is generally adopted, and these interference measures approach a real target echo infinitely to achieve the purpose of falsifying with false; therefore, the interference signals all use the detection signals of the non-cooperative party as signal samples, and interference modulation is realized in multiple dimensions such as a distance dimension, a speed dimension and an angle dimension by forwarding the sample signals, so as to achieve a deceptive interference effect.
The common characteristics of the detection signal and the interference pattern are analyzed in a combined mode, namely coherent pulse trains, and therefore the signal can be used as the basis and the possibility of detecting the interference integrated signal waveform. Since the detection interference sharing signal is transmitted by using the detection signal of the non-cooperative party as a sample signal, and the intra-pulse modulation pattern of the detection interference sharing signal is necessarily consistent with the detection signal of the non-cooperative party, the detection performance of the detection interference sharing signal has detection performance similar to the detection signal of the received non-cooperative party, in order to fully cover the radar display screen of the non-cooperative party and occupy a radar signal processing channel, more false target pulse signals need to be transmitted, however, increasing the number of false targets inevitably increases the duty ratio of the signal, the repetition frequency of the detection interference integration sharing signal is higher than that of the detection signal of the non-cooperative party, which causes the problems of detection, and interference integration signal overlapping of three channels, and the like, and the conventional beat type timing control cannot meet the requirement of the current transmission detection interference integration sharing signal.
The detection interference integrated signal of the virtual force field algorithm takes a non-cooperative party detection signal as a signal sample, and has the characteristics of narrow pulse width, high repetition frequency and the like similar to non-cooperative party pulse; meanwhile, in order to solve the conflict of the detection interference shared signal, the echo signal and the reconnaissance signal in the time domain, the invention introduces the virtual force field algorithm, utilizes the advantages of simple operation, high convergence speed, real-time obstacle avoidance and the like of the algorithm to optimize the multi-dimensional parameter characteristics of the false target of the detection interference shared signal, finally enables the detection interference shared signal based on the virtual force field algorithm to effectively isolate the reconnaissance, the interference and the detection in the time sequence, and presents good deceptive effect on a non-cooperative radar receiver.
In order to solve the problems of time sequence conflict and pulse overlap, a virtual force field algorithm is introduced, and by applying the virtual force field algorithm to the design of detecting interference sharing signals, dynamic obstacles on the receiving and transmitting time sequences can be effectively avoided, and the problem of pulse overlap is effectively solved.
The virtual force field is based on the idea that a false target established in a space is regarded as a node and is also a mass point, the node can be regarded as virtual point charge in the space, and the nodes can be subjected to the repulsive force from other virtual charges, so that the nodes can be mutually repelled and separated, the obstacle avoidance effect is achieved, no position conflict exists between the nodes, and the separation of the positions of the false targets in the space is achieved.
As shown in fig. 3, the origin position in the spatial coordinate system is the true target position, and in this spatial domain, a certain number of false targets are arranged in the spatial domain, and each false target has relative distance, speed and angle spoofing effects. The method comprises the following specific steps:
firstly, aiming at the ith false target node, introducing a triple < P i ,L,F i The position, the stress size and the direction of the node are represented;
P i ＝(x i ,y i ,z i ) Is the spatial rectangular coordinate of the ith node; l represents the maximum sensing range of the repulsive force between the nodes, i.e. when the space distance between the nodes exceedsAfter the range, mutual exclusion relationship does not exist between the two; f i ＝(F xi ,F yi ,F zi ) Respectively representing forces F i Projection components in the directions of the X-axis, the Y-axis and the Z-axis.
Then, for the ith node, calculating the distance between the ith node and the adjacent node by using the space position coordinates, and calculating a model of the repulsion between the ith node and the adjacent node by using the distance between the ith node and the adjacent node
And obtaining the resultant force of the nodes after further conversion:
according to the conversion relation between the rectangular coordinate system and the polar coordinate system, the node P can be deduced i ＝(x i ,y i ,z i ) Corresponding space polar coordinate Q i Is (alpha) i ,β i ,ρ 0i ) And P is i And Q i The relationship of (a) to (b) is as follows:
therefore, the node P i And node P j A spatial distance D therebetween ij Can be expressed as:
wherein | · | purple sweet 2 Representing a 2-norm, also known as the euclidean norm.
Suppose node P j To node P i Model of repulsion
Such as the formula:
F cr denotes the coefficient of repulsion (F) cr ＝1)；θ ij (α ij ,β ij ) Respectively represent P i And P j In space with respect to azimuth and pitch, psi i Is a node P i A set of neighbor nodes within range of L.
Further converting the formula to:
the ith node P i Resultant force of
Namely the vector sum of k node repulsive forces existing in the L maximum induction range at the space position, and a resultant force model
Is represented as follows:
resultant force
Is a node P i The repulsion vector sum of k nodes existing in the maximum induction range L is received at the space position;
in designing a false target spatial location model for detecting interference-sharing signals, the node P i Applied force
When all the nodes reach balance, the motion of the space false target node is stopped, and the position is confirmed.
Step three, utilizing resultant force
Calculating the step quantity Deltax of the ith false target node, andmoving each false target position according to the step amount delta x to ensure that the updated false target is still in the range of Pulse Repetition Interval (PRI);
step amount deltax following resultant force
Change in magnitude of, total force
The larger the step amount Δ x, the larger the calculation formula:
where k denotes a repulsion coefficient and is a fixed value.
The formula for updating the position of the false target is as follows: x is the number of i' ＝x i +Δx；
x i' The position of the ith false target after movement;
step four, calculating the position of an echo signal corresponding to the interference shared signal by using the position of the current false target after moving;
a simple flow chart diagram for performing a correlation design on a detection interference shared signal waveform based on a virtual force field algorithm is shown in fig. 4, wherein an environment rasterization module realizes functions of quantizing, digitizing and visualizing a virtual space environment; the target parameter optimization module applies a virtual force field algorithm to perform data updating and iteration on the false target parameters, so as to realize the optimization design of multiple false target parameters; the data output module is used for storing the optimized optimal result and transmitting the waveform of the interference detection shared signal in the optimal state; the verification module dynamically implements real-time verification on the false target parameters according to the non-cooperative party, improves the high fidelity of the false target parameters and ensures the deceptive effect.
As shown in fig. 5, based on the virtual force field algorithm, the maximum spatial range of the environment is set as S max ，S max Dependent on non-cooperator probe signalsPulse Repetition Frequency (PRF); setting the width of a single grid as r, wherein the width is determined by the maximum resolution of a non-cooperative party, namely the pulse width of a detection signal, and because a single airplane can only generate one pulse signal in each time sequence when radiating a false target in space, namely only one false target can be generated; thus, the dimension of the grid in the virtual environment is a plane body with the width of r, i.e. the total number of grids is S max R, individual grids g i Form a large environment G, G = { G = { i |g i =0or 1}, when g is equal to i When the grid number is 0, the current grid is a free area, and a false target pulse can be set or transferred to the area; when g is i If the grid number is 1, the current grid is an obstacle area, and the false target pulse is set to avoid the area.
Therefore, when the non-cooperative target is known to be at a distance Rkm from my party, the position of the echo signal of the detection interference shared signal of my party is calculated, and the moving distance corresponding to the relative time delay is x r Binding the shared signal transmitting pulse and echo pulse set by one party, and when g is used xi (representing node P) i The grid position corresponding to the x-axis distance) of 1, g is bound xi +g xr Also 1.
Then the position of the echo signal corresponding to the real radar target detection interference shared signal is:
X ri' ＝x i' +x r
step five, judging whether the position of the current false target after moving conflicts with the position of the corresponding echo signal; if yes, entering a sixth step; otherwise, entering step three to continue moving the position of the next false target;
step six, judging whether the number of the current false targets reaches the value of the number m of the input false targets; if yes, calculating the maximum unambiguous distance R' max And maximum non-blurred speed V' max Entering the step seven; otherwise, entering the third step;
when the number of the false targets is m, jumping out of the position optimization of the false targets in the current round, recording the exact position of each false target, and calculating the relative distance between the adjacent false targets on the X axisDistance Δ x i Obtaining the repetition frequency PRF of the current integrated signal ei ；
Maximum unambiguous distance R' max And maximum non-blurred speed V' max The formula is as follows:
R′ max ＝V' max ×t
f rmax the maximum repetition frequency value in the multi-frequency detection signal; λ is the wavelength of the multi-frequency detection signal;
step seven, judging the maximum unambiguous distance R' max And speed V' max Whether it is larger than the set maximum distance range R max And maximum velocity range V max If yes, updating R max 、V max Value is R' max And V' max Keeping the position information of each current false target; otherwise, storing R max And V max Multiple false target location information under conditions;
maximum distance range R max And maximum speed range V max Setting manually at the beginning;
step eight, transmitting a sounding trunk sharing signal waveform under each false target position, and implementing detection and interference on a non-cooperative party;
step nine, judging whether the detection signal of the non-cooperative party is lost in the reconnaissance channel, and if not, continuously performing the step eight; and if so, entering the next observation period, re-intercepting the detection signal sample of the non-cooperative party, performing parameter measurement on the detection signal sample, and implementing a new round of interference detection shared signal design.
The method shows the characteristics of the probe trunk sharing signal with detection and interference capabilities, realizes real probe trunk compatibility, applies the improved virtual force field algorithm to the field of multi-dimensional feature optimization of the false target, and achieves the effect of dynamic obstacle avoidance.
Example (c):
the method comprises the steps that after the priori knowledge is collected in the early stage and the airplane detection is superior to the reconnaissance performance in the short distance, the approximate position of a non-cooperative party to the non-cooperative party is known, and when a radar pulse signal of the non-cooperative party is received, the working mode of the non-cooperative party radar including information such as PDW and intra-pulse characteristics can be judged according to a non-cooperative party detection sample signal collected in the observation period.
Because the shared signal takes the pulse signal of the non-cooperative party as a reference and adopts copy-and-forward type multi-false-target deceptive jamming, the experiment is established on the basis that the radar signal of the non-cooperative party can be effectively intercepted and the PDW and the intra-pulse characteristics of the pulse of the non-cooperative party can be effectively measured, the detection performance and the jamming performance of the detection jamming shared signal based on the virtual force field algorithm are verified through experimental simulation, and the effectiveness of solving the timing sequence problem of the detection jamming shared signal based on the virtual force field algorithm is analyzed.
The experimental background is set in a fighter thunder and lightning integrated system, experimental simulation is carried out based on an MATLAB simulation platform under the condition that an application scene is air-air short-distance countermeasure, and the following parameters are set for detection signals of a non-cooperative party: the initial frequency of a linear frequency modulation signal in a baseband pulse is 5MHz, the frequency modulation bandwidth is 5MHz, the central frequency of a local oscillator is 10GHz, the pulse width of the signal is 1us, and two enemies and the two parties fly head to head in a space range with a distance of 21km at the speed of 250m/s and 300m/s respectively. Under the background of the simulation experiment, a non-cooperative party adopts a typical multi-spread medium repetition frequency signal to detect the non-cooperative party, and the detection interference sharing signal based on the virtual force field algorithm provided by the invention is adopted by the non-cooperative party to detect and interfere the non-cooperative party.
The shared signal is copied and forwarded by taking the detection signal of the non-cooperative party as a signal sample, so that the fuzzy function of the detection interference shared signal is consistent with the detection signal of the non-cooperative party. Because the detection interference integrated shared signal based on the virtual force field algorithm belongs to the coherent pulse train signal type, the number of false targets is directly influenced by the repetition frequency, and the interference effect is also influenced. Therefore, in order to verify the influence of the repetition frequency change on the deceptive jamming effect of the shared signal, the experiment establishes the perspective of the uncooperative square radar by adopting the MATLAB simulation platform, and sets four groups of repetition frequency signals as examples, namely PRF signals 1 ＝5kHz、PRF 2 ＝25kHz、PRF 3 =33.3kHz and PRF 4 And the pulse number in each group of Coherent Processing Interval (CPI) is 64, and the interference performance of the shared signal is analyzed according to the interference condition of the uncooperative party radar.
As shown in fig. 6, the time-frequency analysis graph after signal processing is performed on a spatial target and the R-V detection three-dimensional graph corresponding thereto are obtained after a radar of a non-cooperative party receives an echo signal under the condition that the non-cooperative party transmits four groups of detection interference sharing signals with different repetition frequencies. It can be seen from the non-cooperative Fang Leida R-V time-frequency analysis graph that after receiving a target echo and a detection interference shared signal transmitted by one party, a non-cooperative party radar displays a plurality of false target information on a radar screen, but because echo signals of true/false targets have extremely high similarity, it is difficult to identify which is true and which is false from the targets, so that the purpose of falsely confusing the non-cooperative party radar is achieved, and a better deceptive interference effect is achieved.
By comparing the uncooperative Fang Leida R-V time-frequency analysis graphs under four groups of different repetition frequencies, the number of false targets is reduced along with the increase of the repetition frequencies, and the effective separation of the detection, detection and interference channels on the time sequence is ensured so as to ensure the performances of active detection, passive detection, interference and the like. Therefore, the higher the repetition frequency of the detection sample signal of the non-cooperative party is, the less the timing sequence can be utilized in the interference channel of the interference detection and interference integration system of the party, and the number of generated false targets is also reduced. Although the number is reduced, the deceptive effect of the echo approaching the real target is not weakened, and a better deceptive interference effect can still be achieved, so that the real and false targets cannot be judged correctly.
When detection and interference are carried out on a non-cooperative party, if the number of manufactured false targets is not uniform, the non-cooperative party can filter the false targets through modes of track filtering, multi-frequency ambiguity resolution and the like, so that the deceptive effect of detecting and interfering integrated shared signals is greatly reduced. Therefore, when the non-cooperative party detects the party by using a multi-frequency signal, taking two groups of CPIs as examples, the multi-frequency is respectively 25kHz and 33.3kHz, and the number of pulses of each group of CPIs is 64, further verifying and analyzing the interference characteristics of the detection interference integrated shared signal.
TABLE 1 multiple frequency deblurring results
As shown in fig. 7, the images are a group of time-frequency analysis images after the non-cooperator radar receives the echo signal and processes the signal of the spatial target under the conditions of repetition frequency of 25kHz and different SNRs, but the signal detection effect is reduced with the reduction of the signal-to-noise ratio;
when the repetition frequency is 33.3kHz, as shown in fig. 8, after the non-cooperative party deblurs the multi-parameter signal by using an alignment method (remainder theorem), a corresponding target range velocity value can be obtained, as shown in table 1, it can be obtained by combining graph analysis that after the interference shared signal detected by the party and the echo signal detected by the non-cooperative party enter the radar receiver together, the power value will be reduced along with the reduction of the SNR, although the non-cooperative party uses the multi-frequency deblurring method, the false target signal and the true echo signal still cannot be distinguished, so that a high-fidelity deceptive interference is caused to the non-cooperative party, the key decision of the pilot of the non-cooperative party is affected, the pilot of the non-cooperative party is enabled to miss the optimal attack opportunity, and a prerequisite condition is provided for the attack target of the party.
Since the ambiguity function of the detection interference share signal is determined by the ambiguity function of the non-cooperating detection pulse signal, it is not sufficient to analyze the advantage of the detection performance of the detection interference share signal from the viewpoint of the ambiguity function. Therefore, by establishing a detection interference integrated system, the section performs signal processing such as signal sorting and identification, signal reconstruction, pulse accumulation and the like on the echo signals of the detection interference shared signals, finally analyzes and discusses the distance and speed measurement errors of the targets of the non-cooperative parties, and analyzes and demonstrates the detection advantages and the signal processing advantages of the detection interference shared signals of the party.
In order to verify the maximum unambiguous velocity and distance measurement advantage of the detection interference shared signal, after the echo signal of the shared signal is reconstructed, the target signal is subjected to relevant signal processing such as distance measurement, velocity measurement, time frequency analysis and the like, and the detection advantage of the detection interference shared signal is analyzed by comparing the maximum unambiguous velocity and distance measurement capability of both the enemy and the my.
As shown in fig. 9, the maximum unambiguous range of the known non-cooperative party is 18km and the maximum unambiguous velocity measurement is 500m/s, because the known non-cooperative party uses multi-spread medium repetition frequency signals; the detection interference shared signal adopted by the party has the attributes of multi-frequency detection and multi-false target interference after being optimized by a virtual force field algorithm, so that the maximum unambiguous distance of the detection interference shared signal of the party is 126km, and the maximum unambiguous speed is far greater than the maximum unambiguous speed of a non-cooperative party. Because both the enemy and the my adopt medium-high frequency signals, ambiguity does not exist in speed measurement, but the enemy and the my have great advantages in distance measurement.
As shown in fig. 10, the distance and speed information detection ranges are adjusted to the area where the target is located under different SNR conditions, and it can be known that a moving target with a relative speed of about 550m/s exists in the space range with the distance of 21km through parameter measurement. Therefore, the multi-frequency detection interference sharing signal with the optimal multi-false target multi-dimensional characteristic parameters is obtained through the virtual force field algorithm, has higher maximum unambiguous distance and maximum unambiguous speed than the detection signal of a non-cooperative party, and can implement unambiguous detection on targets with longer distance and higher speed.
The detection interference shared signal takes deceptive interference as an effect, adopts a detection signal of a non-cooperative party as a sample signal, and achieves the purpose of falsifying and falsifying by infinitely approximating a real echo signal, but the sample signal received by a front-end receiver cannot be consistent with an original sample, and the phenomena of signal distortion, parameter mismatching and the like exist, so the detection performance of the detection interference shared signal is slightly inferior to the detection performance of the sample signal in this respect, but because the detection interference shared signal of multiple false targets with higher repetition frequency is transmitted by our party, the detection interference shared signal has more pulse accumulation numbers and signal processing advantages. Therefore, in order to further verify the detection performance and signal processing advantages of the detection interference shared signal, the influence of the pulse accumulation number on the distance and speed measurement errors is discussed and analyzed by using the pulse accumulation number as an independent variable and using the distance measurement errors and the speed measurement errors as dependent variables.
As can be seen from fig. 11, the distance measurement is almost zero error due to the chirp signal employed within the burst; the speed measurement also has the advantage that the speed measurement error is gradually reduced along with the increase of the pulse accumulation number. When a non-cooperative party receives and accumulates a pulse echo, the party can receive and accumulate a plurality of pulse echo signals in the same PRI, along with the increase of the pulse accumulation number, the signal-to-noise ratio of the echo signals is improved by a higher multiple, and the distance measurement and speed measurement errors are obviously reduced (the speed measurement errors can be reduced to 4 m/s), which is the signal processing advantage brought by the pulse accumulation. Therefore, through analysis, the detection interference shared signal can make up for the distortion problem of the received sample detection signal by the advantages of pulse accumulation and signal processing, and can have better deceptive interference characteristics.
As shown in fig. 12, it can be clearly seen from the figure that the detection and interference integrated system after adaptive processing by the algorithm automatically switches the detection, interference and detection channels, and signals in the three channels do not interfere with each other in time sequence and do not influence each other.
When the non-cooperative signal repetition frequency is changed, as shown in fig. 12 (b), the signal is not received after the probing channel is opened, and the interference channel and the probing channel have signal overlapping and timing collision problems. In this case, the detecting and interference integrating system of our party silences for a period, receives the detecting signal of the non-cooperating party, and uses the detecting signal of the non-cooperating party as the sample signal of the transmitting and detecting interference sharing signal of our party, and optimizes the multi-dimensional characteristics of the false target of the detecting and interference sharing signal again by using the virtual force field algorithm, as shown in fig. 12 (c), after receiving the detecting sample signal of the non-cooperating party and being optimized by the algorithm, transmits a new detecting and interference sharing signal, and can continuously perform detecting and interference on the non-cooperating party. The algorithm can reserve the original false target information as much as possible, so that when a non-cooperative party performs ambiguity resolution, false targets of the party cannot be filtered through information such as a temporal diagram or distance correlation, and the deceptive effect of detecting interference shared signals is greatly enhanced. The targets are filtered, so that the deceptive effect of detecting the interference shared signals is greatly enhanced.
From the above experimental data analysis, it can be known that the detection interference shared signal after the multi-dimensional characteristic optimization of the false target by the virtual force field algorithm not only has high-fidelity false target deceptive interference, but also presents better maximum unambiguous distance and maximum unambiguous speed threshold than the detection effect of the non-cooperative party after the detection interference integrated system processes the echo signals by signal sorting, recognition, signal reconstruction, pulse accumulation and other related signals, the maximum unambiguous distance can reach 126km, the unambiguous speed can reach 1000m/s, and the distance and speed measurement of the target can be realized by higher gain. Because the intra-pulse modulation adopted by the invention is a linear frequency modulation signal, the detection advantages embodied by the detection interference sharing signal are mainly represented by that the distance measurement error is almost approximately 0, the speed measurement error is continuously accumulated along with the pulse, and finally the speed measurement error is kept about 4 m/s; and the obstacles such as the time sequence conflict, pulse overlapping and the like of the three channels of detection, interference detection and detection are effectively solved, and powerful support is provided for realizing a detection and interference integrated system in the future.
Claims (4)
1. A dynamic generation method for an integrated detection and interference shared signal is characterized by comprising the following specific steps:
step one, aiming at an airspace where a real radar target and m non-cooperative radar false targets coexist, setting a constraint condition meeting the number m of the false targets, so that the false targets are fully paved in a non-cooperative radar channel;
step two, calculating the ith false target based on the virtual force field algorithmResultant force
The ith false target moves to the optimal position in an airspace under the influence of resultant force, and the true radar target can avoid the false target pulse;
the method specifically comprises the following steps:
firstly, taking each radar pulse as a node, and aiming at the ith false target node, introducing a triple < P i ,L,F i The position, the stress size and the direction of the node are represented;
P i ＝(x i ,y i ,z i ) Is the spatial rectangular coordinate of the ith node; l represents the maximum sensing range of the repulsive force between the nodes;
F i ＝(F xi ,F yi ,F zi ) Respectively representing forces F i Projection components in X-axis, Y-axis and Z-axis directions;
then, for the ith node, calculating the distance between the ith node and the adjacent node by using the space position coordinates, and calculating a repulsion model between the ith node and the adjacent node by using the distance between the ith node and the adjacent node
And obtaining the resultant force of the nodes after further conversion:
the ith node P i Resultant force of
The calculation formula is as follows:
resultant force
Is a node P i The spatial position is subjected to the repulsion vector sum of k nodes existing in the maximum induction range L; node P i At the resultant force
The radar target moves under the action, each node is stressed independently, and when all the nodes move to the balance position, the optimal position is obtained, so that the real radar target can avoid all false targets;
step three, utilizing resultant force
Calculating the step quantity delta x of the ith false target node, and moving the position of each false target according to the step quantity delta x to ensure that the updated false target is still in the range of pulse repetition interval PRI;
the step amount Δ x is calculated by the formula:
wherein k represents a rejection coefficient, which is a fixed value;
the formula for updating the position of the false target is as follows: x is the number of i' ＝x i +Δx；
x i' The position of the ith false target after movement;
step four, calculating the position of an echo signal corresponding to the interference shared signal by using the position of the current false target after moving;
step five, judging whether the position of the current false target after moving conflicts with the position of the corresponding echo signal; if yes, entering a sixth step; otherwise, the step three is entered to continue to move the position of the next false target pulse;
step six, judging whether the number of the current false targets reaches the value of the number m of the input false targets; if yes, calculating the maximum unambiguous distance R' max And maximum non-blurred speed V' max Entering the step seven; otherwise, entering the third step;
maximum unambiguous distance R' max And maximum unambiguous speed V' max The formula is as follows:
R′ max ＝V' max ×t
f rmax the maximum repetition frequency value in the multi-frequency detection signal; λ is the wavelength of the multi-frequency detection signal;
step seven, judging the maximum unambiguous distance R' max And speed V' max Whether it is larger than the set maximum distance range R max And maximum velocity range V max If yes, updating R max 、V max Value is R' max And V' max Keeping the position information of each current false target; otherwise, storing R max And V max Multiple false target location information under conditions;
step eight, transmitting a sounding trunk sharing signal waveform under each false target position to realize the detection and interference of a non-cooperative party;
step nine, judging whether the detection signal of the non-cooperative party is lost in the reconnaissance channel, and if not, continuously performing the step eight; and if so, entering the next observation period, re-intercepting the detection signal sample of the non-cooperative party, performing parameter measurement on the detection signal sample, and implementing a new round of interference detection shared signal design.
2. The method according to claim 1, wherein the number m of false targets in the first step satisfies the following condition:
Wherein, PRI i The pulse repetition period of the current non-cooperative radar is tau, the pulse width of the non-cooperative detection signal is tau, and n is the number of the non-cooperative radar pulse signals received; m is the number of non-cooperative radar signal processing channels, and M is the final determined value of the number of false targets and is determined by repetition frequency and pulse width.
3. The method for dynamically generating an integrated sounding and interference shared signal according to claim 1, wherein the fourth step is specifically:
first, the maximum range of the airspace is set to S max Carrying out grid division, and setting the width of a single grid as r;
per grid characterizing quantity g i When 0, it means that the current grid is a free region, and the decoy pulse can be set or transferred to the region; when g is i When the grid number is 1, the current grid is an obstacle area, and the false target pulse needs to avoid the area;
when the ith false target is far from the real radar target pulse R km, the moving distance corresponding to the relative time delay is x r Then, the position of the echo signal corresponding to the interference sharing signal is detected as follows:
X ri' ＝x i' +x r 。
4. the method for dynamically generating the integrated shared signal for detecting interference according to claim 1, wherein the seventh step is specifically: maximum distance range R max And maximum speed range V max And (5) initially manually setting.
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