Multifunctional radar adaptive resource management and task scheduling method

Abstract

The invention provides a multifunctional radar adaptive resource management and task scheduling method, and relates to the technical field of radars. From the perspective of actual demands, a complete closed-loop radar resource management and task scheduling framework with five working modes is designed, the radar obtains environment information through echo signal processing, and the working modes are adaptively changed according to the real-time information. Meanwhile, resource management is carried out on signal waveform parameters of each working state, relatively better waveform parameters are obtained under the balance of time resources and energy resources, and the number of waveforms emitted by the radar is not limited by a fixed template combination any more under the method.

Description

Technical Field

[0001] The invention belongs to the field of radar technology, and in particular relates to a multifunctional radar adaptive resource management and task scheduling method. Background Art

[0002] As an efficient system, Multi-Function Radar (MFR) can perform multi-task scheduling on multiple targets on a timeline to achieve multi-function operations. The inertia-free scanning capability of its beam not only creates conditions for the flexibility of task execution, but also makes task execution dependent on resource management and task scheduling. With the continuous development of high-performance, cognitive and software-reprogrammable computing devices, the ability of enemy targets to perform complex tasks continues to improve, making the situation in radar combat airspace increasingly complex, bringing great challenges to modern radar systems for target detection and tracking.

[0003] At present, the technology used in the MFR system has the characteristics of instantaneous antenna beam pointing, flexible working mode scheduling and real-time waveform parameter changes. However, as one of the key factors in the closed-loop operation of the radar, its beam pointing, mode switching and parameter changes all require manual selection by the operator. Although the radar system has multiple working modes, these modes are independent of each other and lack relevance. When facing complex combat airspace, radar operators need to rely on accumulated experience to deal with the battlefield environment on the spot and switch working modes, making the performance of the radar system highly dependent on the ability and level of the operator. The waveform parameter library inside the radar system contains only a limited number of waveform parameter combinations, and the operator can only select the preset waveform parameters in the library to transmit a specific waveform signal. In the case of a rapidly changing battlefield environment, the radar operator's delayed operation and misoperation may lead to missing the best opportunity, and if the waveform parameter combinations in the library are exhausted and the current task cannot be completed, the system will face a dilemma.

[0004] Modern radar systems have multiple working modes, but the working modes are independent of each other and have no direct correlation. When facing complex combat airspace, radar operators need to rely on their accumulated experience to make impromptu decisions on the battlefield environment and switch working modes, making the performance of the radar system highly dependent on the ability and level of the radar operator. In the case of a rapidly changing battlefield environment, delayed operations and misoperations by radar operators will lead to the loss of the best opportunity; and only a limited number of combinations of waveform parameters can be emitted in each working mode, and the radar can only emit specific waveform signals from the waveform library. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention proposes a multifunctional radar adaptive resource management and task scheduling solution.

[0006] The first aspect of the present invention proposes a multifunctional radar adaptive resource management and task scheduling method, the method comprising: step S1, receiving and parsing echo signals to obtain parameter information; adaptively adjusting the radar working mode and the working state under the corresponding radar working mode according to the parameter information; step S2, performing resource management on the waveform parameters of the radar transmission waveform under the corresponding working state to determine the optimized waveform parameters under the condition of balancing time resources and energy resources.

[0007] Among them, the working modes include long-range search LRS, search-while-tracking TWS, search-and-tracking TAS, single-target tracking STT, and multi-target tracking MTT; the working status of the LRS mode includes search and confirmation, the working status of the TWS mode and TAS mode include search, confirmation, and tracking, and the working status of the STT mode and MTT mode includes confirmation and tracking.

[0008] According to the method of the first aspect, the LRS mode is the working mode of the radar in the initial state. In the LRS mode, the target airspace search is performed according to the preset wave position arrangement method; if the target is detected and confirmed to exist, it is switched to TWS mode or TAS mode according to the threat assessment result of the target, and the target is added to the tracking sequence queue.

[0009] According to the method of the first aspect, in TWS mode, the radar does not emit a specific tracking beam, but only uses the search beam in the search state and the confirmation beam in the confirmation state to complete target tracking, and the frame period is independent of the number of targets in the airspace; after the radar loses tracking of the target, it enters the tracking state, re-tracks the specified wave position and emits a tracking beam, and then enters the TAS mode to perform subsequent tasks.

[0010] According to the method of the first aspect, in TAS mode, the radar executes the tracking state while executing the search state, and the frame period is dynamic; when the radar starts to execute the search state, the targets in the tracking sequence queue whose time slices meet the requirements of executing the tracking state are added to the sequence to be executed, and a priority decision is made, the task with the highest priority is executed, and the priority is assigned to the remaining tasks in the sequence to be executed; after the radar completes the tracking state, a track analysis is performed, and according to the analysis results, it is determined whether to execute re-tracking or directly perform resource management and threat assessment, and according to the resource management results, it is determined whether to switch to MTT mode.

[0011] According to the method of the first aspect, in the MTT mode, the tracking state is cyclically executed for the targets in the tracking sequence queue according to the priority. After each tracking state is executed, track analysis is performed, and based on the analysis results, it is determined whether to switch to the tracking state to transmit a re-tracking beam; and based on the results of resource management, it is determined to continue to execute the MTT mode, or switch to the STT mode, or perform a threat assessment to choose to switch to the TWS mode or TAS mode.

[0012] According to the method of the first aspect, in the STT mode, there is only one target in the tracking sequence queue, and all time resources are allocated to the target. Each time the tracking state is executed, a track analysis is used to decide whether to transmit a re-tracking beam; and a threat assessment is performed, and based on the assessment results, it is determined whether to continue executing the STT mode or switch to the TWS mode.

[0013] The second aspect of the present invention proposes a multifunctional radar adaptive resource management and task scheduling system, which includes a processing unit, which is configured to perform: receiving and parsing echo signals to obtain parameter information; adaptively adjusting the radar working mode and the working state under the corresponding radar working mode according to the parameter information; and performing resource management on the waveform parameters of the radar transmission waveform under the corresponding working state to determine the optimized waveform parameters under the condition of balancing time resources and energy resources.

[0014] Among them, the working modes include long-range search LRS, search-while-tracking TWS, search-and-tracking TAS, single-target tracking STT, and multi-target tracking MTT; the working status of the LRS mode includes search and confirmation, the working status of the TWS mode and TAS mode include search, confirmation, and tracking, and the working status of the STT mode and MTT mode includes confirmation and tracking.

[0015] The third aspect of the present invention discloses an electronic device. The electronic device includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the steps in the multifunctional radar adaptive resource management and task scheduling method described in the first aspect of the present disclosure are implemented.

[0016] The fourth aspect of the present invention discloses a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the multi-functional radar adaptive resource management and task scheduling method described in the first aspect of the present disclosure are implemented.

[0017] In summary, the present invention designs a complete closed-loop radar resource management and task scheduling framework with five working modes from the perspective of actual needs. The radar obtains environmental information through echo signal processing and adaptively changes the working mode according to real-time information. At the same time, resource management is performed on the signal waveform parameters of each working state, and relatively better waveform parameters are obtained under the balance of time resources and energy resources. Under this method, the number of waveforms emitted by the radar is no longer limited to a fixed template combination. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 Schematic diagram of adaptive resource management and task scheduling for multi-function radar.

[0020] Figure 2 Under different given conditions (A·T) require Schematic diagram of the changing trend.

[0021] Figure 3 The number of pulses N varies with (A·T) require Schematic diagram of the relationship.

[0022] Figure 4 Schematic diagram of the relationship between Factor value and pulse number N under given conditions.

[0023] Figure 5 Schematic diagram of the changing trend of the evaluation function value Eva with the maximum number of pulses Nconfirm_max.

[0024] Figure 6 The figure is a structural diagram of an electronic device. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] Definitions of Abbreviations and Key Terms:

[0027] Radar operating mode: refers to the specific operating methods and parameter settings adopted by the radar system in different tasks and application scenarios.

[0028] Radar working state: In this method, the radar working state is defined as a sub-layer of the radar working mode. It refers to the specific state of the radar when executing different working modes.

[0029] Frame period: refers to the time required for a radar system to complete a complete working cycle when performing a specific task or operation.

[0030] LRS: Long Range Search, a working mode of the radar system, specifically used for target search and detection at a longer distance.

[0031] TWS: Track While Search, a radar system operating mode that combines target search and tracking functions, enabling the radar system to continuously track detected targets while conducting a wide-area search.

[0032] TAS: Track And Search, a radar system operating mode, which means that the radar system performs both search and tracking in the same time period. This mode combines the functions of target search and target tracking to improve the detection and tracking capabilities of the radar system.

[0033] MTT: Multiple Target Track, an operating mode of the radar system designed to detect, identify and track multiple targets simultaneously.

[0034] STT: Single Target Track, a radar system operating mode that focuses on high-precision, continuous tracking and monitoring of a single target. This mode is usually used when the target has been detected and its motion characteristics need to be tracked in detail.

[0035] Time resource saving rate: the ratio of the number of transmitted pulses reduced by the optimal pulse number relative to the maximum pulse number to the maximum pulse number. time_save symbol.

[0036] Time resource utilization rate: the ratio of the optimal number of pulses to the maximum number of pulses. time_use symbol.

[0037] Net gain accumulation rate: the ratio of the net gain obtained under the optimal pulse number to the net gain obtained under the maximum pulse number. net_improve symbol.

[0038] The first aspect of the present invention proposes a multifunctional radar adaptive resource management and task scheduling method, the method comprising: step S1, receiving and parsing echo signals to obtain parameter information; adaptively adjusting the radar working mode and the working state under the corresponding radar working mode according to the parameter information; step S2, performing resource management on the waveform parameters of the radar transmission waveform under the corresponding working state to determine the optimized waveform parameters under the condition of balancing time resources and energy resources.

[0039] like Figure 1As shown in the figure, the flowchart realizes the closed-loop switching of the working mode and working state of the multi-function radar facing the mission airspace. The five working modes are long-range search (LRS), track while searching (TWS), search and track (TAS), single target tracking (STT) and multi-target tracking (MTT), among which LRS includes search and confirmation status, TWS and TAS include search, confirmation and tracking status, and STT and MTT include confirmation and tracking status. The radar is in LRS mode at t0=0, and the five working modes are analyzed in detail below. The symbols and definitions of some variables in the implementation of this process are shown in the following table.

[0040] Table 1: Variable symbols and definitions

[0041]

[0042]

[0043] 1.LRS working mode

[0044] LRS mode is the working mode of the radar in the initial state. In this mode, the target airspace search is carried out according to the preset wave position arrangement. If the existence of the target is detected and confirmed, it will switch to TWS mode or TAS mode according to the threat assessment result of the target and add the target to the tracking sequence queue.

[0045] 1.1 Search state (S state)

[0046] In this state, the pulse signal is transmitted to meet the high detection probability while keeping the time resource as low as possible. The high detection probability is to increase the probability of detecting the target at each wave point, and the low time resource is to make the radar T frame According to the maximum detection distance set by the radar in the S state, the required minimum signal-to-noise ratio is:

[0047]

[0048] Among them, Channel considers the antenna array as a multi-channel rectangular array, and the number of array elements on the x-axis is X array , the number of array elements on the y-axis is Y array , that is, Channel = X array ·Y array Next, the antenna array gain expression is obtained based on the normalized frequency domain response:

[0049]

[0050] Through the following relationship, some parameters in the search state can be obtained:

[0051]

[0052] Based on the above parameters, we get the linear value of the required signal-to-noise ratio: SNR require , we further obtain the SNR require The required width of a single pulse under demand is:

[0053]

[0054] If the radar only transmits a single pulse, it is not only limited by the peak power, but also When the radar pulse is in the current position, it will cause pulse overlap. Therefore, consider the signal-to-noise ratio of the coherent accumulation of a single long pulse to be equivalent to the radar transmitting multiple pulses and then performing incoherent accumulation on the echoes of the multiple pulses. The total residence time of the radar pulse at the current wave position is T, and the total time is divided into N parts, that is, the number of pulse trains transmitted is N.

[0055] Let SNR require =AT, where Therefore, the signal-to-noise ratio of each sub-pulse is:

[0056]

[0057] Consider the Swerling I type target, complete its initial estimation and for each sub-pulse, that is, the pulse number np = 1, the detection probability P d for:

[0058]

[0059] Substituting np = 1 and assuming V T ≈V T0 , and at the same time We can get:

[0060]

[0061] Then P d Taking the first-order derivative with respect to N, we get:

[0062]

[0063] It has been verified that in a single detection probability P d * = 0.5, the function reaches its maximum value. d * =0.5, the number of pulses required for the accumulation detection requirement is:

[0064]

[0065] Using the incoherent accumulation calculation formula proposed by Curry, the required signal-to-noise ratio and pulse width of a single pulse can be obtained as follows:

[0066]

[0067] At this time, we get (A·T) min =A·τ single_require1 , and if P is to be satisfied d * =0.5, then (A·T) needs to satisfy:

[0068]

[0069] This satisfies (A·T) require The pulse width under the condition is:

[0070]

[0071] According to τ single_require , PRI and BW can be used to obtain the current PW, DC and PCR.

[0072] Now we have obtained the better waveform parameters in the S state. In this case, the radar can not only meet the P d requirements, and also minimize the time resources required.

[0073] 1.2 Confirmation status (C status)

[0074] The radar detects targets in the S state. If the echo signal of a certain wave point exceeds the detection threshold, the C state is executed to perform secondary target confirmation to determine whether it is a real target or a false alarm target. The parameters are obtained through the following relationship:

[0075]

[0076] And according to R estimate The minimum signal-to-noise ratio (SNR) required for target detection in the confirmed state require_dB .

[0077] In the confirmation state, the more pulses are transmitted, the higher the energy resources of the radar transmission, and the greater the net gain brought by the incoherent accumulation, thereby improving the accuracy of confirming the current suspected target. However, this will also increase the time resources required for the current wave point, making T frame The time required to complete the full wave position search increases. Therefore, we need to find a better balance between net gain and time resources to execute the confirmation state.

[0078] First calculate T in the C state frame , and then further analyze the time resources required.

[0079] According to G in formula (2), Beam 3dB_azi and Beam 3dB_ele , the vertical and horizontal increments of the wave position are calculated in sinusoidal space as:

[0080]

[0081] The wave position is converted from the spherical coordinate system coordinate point (R,Angle azi ,Angle ele ) is converted to the sinusoidal space coordinate system coordinate point (R, α, β) and the number of effective wave point points Num in the airspace is calculated valid for:

[0082]

[0083] Further get T frame for:

[0084] T frame =Num valid ·N·PRI (16)

[0085] We set the maximum execution time of the C state to be T frame Percentage of time not exceeding The maximum number of pulses that the radar can transmit in this state is:

[0086]

[0087] Set the optimal number of pulses emitted by the radar to N confirm ,about The optimal value of will be analyzed later.

[0088] When the radar performs incoherent accumulation of echo pulses, the net gain expression can be obtained by using the expression of improvement factor and loss factor with an accuracy within 0.8dB derived by Peebles based on experience:

[0089]

[0090] Further we can get:

[0091]

[0092] From the analysis of formula (19), we can see that the net gain increases with N confirm However, time resources increase with N confirm Each additional unit increases the corresponding unit, regardless of the change mode of PRI. The time resource increase curve can be equivalent to the factor net (1) = 0 to Factor net (N confirm_max )=Factor max_net The linear transformation of , so the constant slope value of the time resource change curve is:

[0093]

[0094] Derivative (18) and let Newton's iteration method is used to solve the most approximate integer value N, and there is only one solution within the domain of definition. We can get the following relationship:

[0095]

[0096] From formula (21), we can get N confirm =N is the optimal pulse value under the balance of net gain and time resources. At this time, the net gain of incoherent accumulation is Factor net (N). Then, the parameters can be obtained through the following relationship:

[0097]

[0098] Considering the value of N and N confirm_max We use the evaluation function value to find the optimal N confirm_max , then through T frame Get dynamic Value. Evaluation function Eva(N confirm_max )for:

[0099]

[0100] Take max(Eva), and we get N confirm_max The value is the optimal value of the maximum number of pulses in the C state, and further we can get The calculation formula is:

[0101]

[0102] 2.TWS working mode

[0103] In this mode, the radar does not emit a specific tracking beam, but only uses the search beam in the S state and the confirmation beam in the C state to complete the target tracking, so the frame period has nothing to do with the number of targets in the airspace. When the radar loses tracking of the target, it will enter the T state to re-track the specified position and emit a tracking beam, and then enter the TAS mode to perform subsequent tasks.

[0104] 2.1 Search state (S state)

[0105] This state transmits pulses for target detection according to the same criteria as the S state in LRS mode.

[0106] 2.2 Confirmation Status (C Status)

[0107] like Figure 1As shown, in this state, the radar will perform target secondary confirmation, threat assessment, target tracking and track analysis. However, a specific beam will be emitted only when the target is secondary confirmed, and the emission criteria of the confirmation beam are the same as those of the C state in the LRS mode. Subsequently, all subsequent links rely on the real-time echo information obtained by the confirmation beam. The threat assessment method in this state is analyzed below.

[0108] The distance R at which the radar transmits the confirmation beam to obtain the target is known. estimate and speed V estimate , and the maximum unambiguous distance R in state C max_confirm1 and the maximum unambiguous velocity V max_confirm1 The threat assessment result y can be obtained normalized as follows:

[0109]

[0110] This article uses the following threat classification method:

[0111]

[0112] Where L is low threat, H is high threat, n∈[0,1], n=const. normalized When approaching 1, the radar will dynamically adjust R max_confirm1 and V estimate Raise the upper limit to ensure the threat value is within the effective range.

[0113] 2.3 Tracking state (T state)

[0114] The criteria for transmitting the re-tracking beam in this state are consistent with the T state in TAS mode.

[0115] 3.TAS working mode

[0116] In this mode, the radar will execute the T state while executing the S state, so the frame period is dynamic. When the radar is ready to execute the S state, it will add the targets in the tracking sequence queue whose time slices meet the requirements for executing the T state to the sequence to be executed, and make a priority decision. Then, the radar will select the highest priority task to execute and assign the priority to the remaining tasks in the sequence to be executed. After the radar executes the T state, it will follow the track analysis and decide whether to perform re-tracking or directly perform resource management and threat assessment based on the analysis results. If the resource management result is high resources, it will enter the MTT mode.

[0117] 3.1 Search state (S state)

[0118] The radar will perform priority preemption in this state, and the result calculated by equation (25) is the real-time threat assessment value. Since the S state is the default state when there is no target, we will i The S state priority of each wave point is set to ε i ,Right now The Tth j The T state priority of each target is set as ε j ,Right now The available priority switching criteria are:

[0119]

[0120] Among them, Exe(S) is the execution S state, and Exe(T) is the execution T state.

[0121] 3.2 Confirmation Status (C Status)

[0122] The difference between this state and the C state in TWS mode is that resource management will be performed after the track analysis. The decision to continue the TAS mode or switch to MTT mode is based on the result of resource management. The resource management method in this state is analyzed below.

[0123] Let the replay time be t back , the single execution time of T state is T track In TAS mode, only the S state is executed for a frame period of T frame . It can be obtained in T frame The number of times the internal radar tracks a target is:

[0124]

[0125] The total time to execute the T state on the target within the frame period is:

[0126]

[0127] It can be further known that the time resource occupancy rate of this target is:

[0128]

[0129] Assuming that the number of targets in the airspace is m, the time resource occupancy rate of executing all T states is:

[0130]

[0131] As the number of targets in the airspace increases, the time resource utilization rate of executing the T state will become higher and higher. We set the maximum time resource utilization rate of the total time of executing the T state in this mode to be like At this point, it can be considered that the S state cannot be executed efficiently in this mode and more time resources need to be allocated to the T state. The radar then switches to the MTT mode.

[0132] 3.3 Tracking state (T state)

[0133] In this state, the radar needs to pay attention to two factors: T track and t back . T track Determines the accuracy of executing the T state, t back Determines the continuity of the execution of the T state, T track and t back Together they determine the occupancy rate of time resources. Set the maximum occupancy rate of a single execution T state to

[0134] First, we analyze T track , according to the previous state echo signal, the measured distance R of the target is obtained estimate and speed V estimate And calculate the threat value y normalized According to R estimate Get the PRI of the T state transmission pulse. We set the maximum time of a single T state execution to:

[0135]

[0136] The T state of this mode focuses on high-threat targets in the airspace, and high-threat targets approaching the radar generally perform tasks at a higher speed. normalized When the target is too small to pose a threat to the radar, the radar will end tracking of the target to allocate more time resources to other targets.

[0137] In this state, the radar mainly completes the distance measurement and speed measurement functions. According to the following relationship, the various parameters under the distance measurement and speed measurement functions can be obtained. The distance measurement parameters are as follows:

[0138]

[0139] Then, execute the speed measurement function:

[0140]

[0141] Among them, RF (range) It is the carrier frequency parameter under ranging function.

[0142] Now we get the time resources required for each execution of T state:

[0143] T track =N·(PRI1+PRI2) (35)

[0144] Next, we analyze t back In this paper, the minimum radar lookback time is set to the range resolution in state T divided by the maximum unambiguous speed:

[0145]

[0146] This is to ensure that the radar can maintain tracking continuity and accuracy when executing T state, while improving the accuracy of track association. normalized Dynamic adjustment back_min This can not only meet the tracking task requirements, but also save time resources by using dynamic allocation. Let the review time be:

[0147]

[0148] Now we can get T in state T track and t back Dynamic value of .

[0149] 4.MTT working mode

[0150] Since there is no S state in this mode, search and confirmation beams will not be emitted, that is, the targets in the tracking sequence queue will not be changed, but the T state will be executed cyclically for the targets in the tracking sequence queue according to the priority criteria. Each time the T state is executed, a track analysis will be performed, and based on the analysis results, it will be decided whether to switch to the T state to emit a re-tracking beam. Then, based on the results of resource management, it will be decided whether to continue to execute the MTT mode, switch to the STT mode, or perform a threat assessment to choose whether to switch to the TWS mode or the TAS mode.

[0151] 4.1 Confirmation Status (C Status)

[0152] This state is different from the C state in TAS mode in that no specific beam is transmitted and the resource management results are divided into three categories:

[0153]

[0154] Among them, L stands for low resources, H stands for high resources, and VH stands for very high resources.

[0155] According to different resource management and threat assessment results, it switches to different working modes. In this state, the real-time resource occupancy rate of a target is:

[0156]

[0157] We set the maximum time resource usage of a certain goal in this mode to be The criteria for mode switching at this time are:

[0158]

[0159] 4.2 Tracking state (T state)

[0160] This state transmits pulses for target tracking and re-tracking according to the same criteria as the T state in TAS mode.

[0161] 5.STT working mode

[0162] In this mode, there is only one target in the tracking sequence queue, so all time resources are allocated to this target. Each time the T state is executed, the track analysis is used to decide whether to launch the re-tracking beam, and then the threat assessment is performed and the decision is made based on the assessment results whether to continue the STT mode or switch to the TWS mode.

[0163] 5.1 Confirmation Status (C Status)

[0164] In this state, no specific confirmation beam is emitted, and the mode conversion is performed based on the threat assessment result obtained according to formula (25).

[0165] 5.2 Tracking state (T state)

[0166] This state transmits pulses for target tracking and re-tracking according to the same criteria as the T state in TAS mode.

[0167] Example 1

[0168] The S state and C state of the LRS mode are analyzed.

[0169] The pseudo code of the S-state waveform parameter generation algorithm in LRS mode is as follows:

[0170]

[0171] The pseudo code of the C-state waveform parameter generation algorithm in LRS mode is as follows:

[0172]

[0173] The following simulation analysis is carried out to verify the waveform parameter design method of three conventional working states under the balance of net gain and time resources. During the simulation process, the parameter values ​​of each variable are set as shown in Table 2:

[0174] Table 2: Variable symbols and parameter values

[0175]

[0176]

[0177] It is known that when the single detection probability reaches Under the condition of , a higher detection probability can be accumulated in the S state while keeping the total residence time low. Figure 2 (Left) shows the probability of detection P d Time (A·T) require Follow P fa The trend curve of the change, the dotted line in the figure is (A·T) require The lower bound allowed; Figure 2 (Right) shows the probability of false alarm P fa Time (A·T) require Follow P d The trend curve of the change of d The lower bound of the allowed value. It can be seen that high detection probability and low false alarm probability have a significant effect on (A·T) require The demand value is greater. Figure 3 As shown, in P fa =10 -3 , 10 -6 , 10 -9 When the pulse number N increases with (A·T) require It can be seen that when N is the same, P fa The lower, the better (A·T) require The demand value is larger, but the (A·T) range that the pulse can accommodate is wider.

[0178] For the calculation of the maximum number of transmitted pulses in the C state, T can be obtained from Table 2. frame =7.7155 and k Δt =0.0582. Figure 4 The improvement factor, loss factor, net gain change curve and optimal point tangent are shown in the figure. The point (40,8.69) is the net gain value of the optimal pulse number and incoherent accumulation. Under the restriction of confirm_max =338, Factor net (N confirm_max )=10.89, get Rate time_save =71.52% and Rate net_improve =79.80%, and further Eva=0.4236, which is the max(Eva) under the current parameter values.

[0179] Figure 5 Given different N confirm_max When the value is 0.4236, the Eva value change trend curve shows that the curve shows a trend of first rising and then falling. At this time, the coordinate point corresponding to the maximum value is (338, 0.4236). The embedded local enlarged figure shows the curve change trend near the maximum value. confirm_max and T frame , we can get the optimal

[0180] It can be seen that the above method can enhance the anti-interference capability to improve the ability to perform tasks in complex mission airspace, improve the efficiency of resource utilization, and reduce the impact of human factors in mission execution.

[0181] By using a closed-loop framework with five working modes and a total of twelve working states, the radar can select the best working mode under different mission requirements to give full play to the radar's full effectiveness. The radar obtains real-time status information of the target in the environment and determines the pulse waveform parameters under the balance of time resources and energy resources. This not only helps to save time resources and energy resources, but also the flexible and changeable waveform parameters further improve the radar's anti-interference performance, avoiding the enemy's acquisition and targeted interference with a limited number of waveform parameters. In a complex airspace environment, when the target state changes, the radar can quickly make changes based on the acquired target state, avoiding the impact of human delays and misoperations on the radar performance.

[0182] In addition, although the radar can also complete the search and target tracking of the mission airspace using the traditional independent working mode and a limited number of waveform parameter combinations. However, when the mission airspace situation is more complicated, the radar needs to balance the time resources and energy resources according to the threat level of the target to complete the task. For the traditional method, the radar emits a fixed number of pulses, which will cause the problem of excessive resource consumption on low-threat targets and insufficient resource consumption on high-threat targets. The method proposed in the present invention can adaptively manage resources and schedule tasks according to the status information of the mission airspace target, and complete the task in the balance of time resources and energy resources.

[0183] In summary, this adaptive resource management and task scheduling method can help radars better cope with complex and changing airspace environments. By comprehensively allocating time resources and energy resources to targets in the airspace, the combat effectiveness of radars can be improved, which is of great significance for improving the performance of radars in practical applications.

[0184] A second aspect of the present invention provides a multifunctional radar adaptive resource management and task scheduling system, the system comprising a processing unit, the processing unit being configured to execute:

[0185] Receive and analyze the echo signal to obtain parameter information; adaptively adjust the radar working mode and the working state under the corresponding radar working mode according to the parameter information;

[0186] Perform resource management on the waveform parameters of the radar transmission waveform under the corresponding working state to determine the optimized waveform parameters under the condition of balancing time resources and energy resources;

[0187] Among them, the working modes include long-range search LRS, search-while-tracking TWS, search-and-tracking TAS, single-target tracking STT, and multi-target tracking MTT; the working status of the LRS mode includes search and confirmation, the working status of the TWS mode and TAS mode include search, confirmation, and tracking, and the working status of the STT mode and MTT mode includes confirmation and tracking.

[0188] The third aspect of the present invention discloses an electronic device. The electronic device includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the steps in the multifunctional radar adaptive resource management and task scheduling method described in the first aspect of the present disclosure are implemented.

[0189] Figure 6 is a structural diagram of an electronic device according to an embodiment of the present invention, such as Figure 6 As shown, the electronic device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the electronic device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, near field communication (NFC) or other technologies. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic device can be a touch layer covered on the display screen, or a button, a trackball or a touch pad set on the housing of the electronic device, or an external keyboard, touch pad or mouse, etc.

[0190] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a structural diagram of the part related to the technical solution of the present disclosure, and does not constitute a limitation on the electronic device to which the technical solution of the present application is applied. The specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0191] The fourth aspect of the present invention discloses a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the multi-functional radar adaptive resource management and task scheduling method described in the first aspect of the present disclosure are implemented.

[0192] In summary, the present invention designs a complete closed-loop radar resource management and task scheduling framework with five working modes from the perspective of actual needs. The radar obtains environmental information through echo signal processing and adaptively changes the working mode according to real-time information. At the same time, resource management is performed on the signal waveform parameters of each working state, and relatively better waveform parameters are obtained under the balance of time resources and energy resources. Under this method, the number of waveforms emitted by the radar is no longer limited to a fixed template combination.

[0193] Please note that the technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification. The above-mentioned embodiments only express several implementation methods of the present application, and their descriptions are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present application, several variations and improvements can be made, which all belong to the scope of protection of the present application. Therefore, the scope of protection of the patent in this application shall be based on the attached claims.

Claims

1. A multifunctional radar adaptive resource management and task scheduling method, characterized in that: The method comprises: Step S1, receiving and analyzing the echo signal to obtain parameter information; adaptively adjusting the radar working mode and the working state under the corresponding radar working mode according to the parameter information; Step S2, performing resource management on the waveform parameters of the radar transmission waveform in the corresponding working state to determine the optimized waveform parameters under the condition of balancing time resources and energy resources; Among them, the working modes include long-range search LRS, search-while-tracking TWS, search-and-tracking TAS, single-target tracking STT, and multi-target tracking MTT; the working status of the LRS mode includes search and confirmation, the working status of the TWS mode and TAS mode include search, confirmation, and tracking, and the working status of the STT mode and MTT mode includes confirmation and tracking.

2. A multifunctional radar adaptive resource management and task scheduling method according to claim 1, characterized in that: LRS mode is the working mode of the radar in the initial state. In LRS mode, the target airspace search is carried out according to the preset wave position arrangement. If the target is detected and confirmed to exist, it will switch to TWS mode or TAS mode according to the threat assessment result of the target, and add the target to the tracking sequence queue.

3. A multifunctional radar adaptive resource management and task scheduling method according to claim 2, characterized in that: In TWS mode, the radar does not emit a specific tracking beam, but only uses the search beam in the search state and the confirmation beam in the confirmation state to complete target tracking, and the frame period is independent of the number of targets in the airspace; After losing track of the target, the radar switches to tracking state, re-tracks the designated wave position and emits a tracking beam, and then switches to TAS mode to perform subsequent tasks.

4. A multifunctional radar adaptive resource management and task scheduling method according to claim 3, characterized in that: In TAS mode, the radar executes the tracking state while executing the search state, and the frame period is dynamic; when the radar starts to execute the search state, the targets in the tracking sequence queue whose time slices meet the requirements of executing the tracking state are added to the sequence to be executed, and the priority is determined. The task with the highest priority is executed, and the priority is assigned to the remaining tasks in the sequence to be executed; After the radar completes the tracking state, it performs track analysis and determines whether to perform re-tracking or directly perform resource management and threat assessment based on the analysis results. It also determines whether to switch to MTT mode based on the resource management results.

5. A multifunctional radar adaptive resource management and task scheduling method according to claim 4, characterized in that: In MTT mode, the tracking state is cyclically executed for the targets in the tracking sequence queue according to the priority. After each tracking state is executed, the track analysis is performed and the decision on whether to switch to the tracking state to transmit the re-tracking beam is made based on the analysis results. And based on the results of resource management, determine whether to continue the MTT mode, or switch to the STT mode, or conduct a threat assessment to choose to switch to the TWS mode or TAS mode.

6. A multifunctional radar adaptive resource management and task scheduling method according to claim 5, characterized in that: In STT mode, there is only one target in the tracking sequence queue, and all time resources are allocated to this target. Each time the tracking state is executed, track analysis is used to decide whether to launch a re-tracking beam; and a threat assessment is performed. Based on the assessment results, it is determined whether to continue the STT mode or switch to the TWS mode.

7. A multifunctional radar adaptive resource management and task scheduling system, characterized in that: The system comprises a processing unit configured to perform: Receive and analyze the echo signal to obtain parameter information; adaptively adjust the radar working mode and the working state under the corresponding radar working mode according to the parameter information; Perform resource management on the waveform parameters of the radar transmission waveform under the corresponding working state to determine the optimized waveform parameters under the condition of balancing time resources and energy resources; Among them, the working modes include long-range search LRS, search-while-tracking TWS, search-and-tracking TAS, single-target tracking STT, and multi-target tracking MTT; the working status of the LRS mode includes search and confirmation, the working status of the TWS mode and TAS mode include search, confirmation, and tracking, and the working status of the STT mode and MTT mode includes confirmation and tracking.

8. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the steps in the multi-functional radar adaptive resource management and task scheduling method described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the steps in the multi-functional radar adaptive resource management and task scheduling method described in any one of claims 1 to 6 are implemented.

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