CN112148452A - Task resource minimum entropy criterion distribution method for single-platform radar comprehensive detection system - Google Patents
Task resource minimum entropy criterion distribution method for single-platform radar comprehensive detection system Download PDFInfo
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Abstract
The invention provides a task optimization allocation method for a task resource minimum entropy criterion of a single-platform radar comprehensive detection system. The minimum entropy criterion is the product of the capability values of the radar that pursues the task consuming resources and executing the task and PNThe minimum criterion. For n executed tasks, thenIn the formula PNProduct of N task consumption resources and radar capability values, TjFor consuming resources of the jth task, EjThe capability value of the radar is executed for the jth task. Product of capability values of task consumption resources and task execution radars and P in the inventionNAnd the method can ensure that high-quality detection resources are allocated to the radar with high quality requirement, ensure that the task with high capability requirement is better executed, improve the resource utilization efficiency and have important application value for the resource scheduling of the comprehensive detection system.
Description
Technical Field
The invention belongs to the field of radar detection, and particularly relates to a task allocation method for a single-platform radar comprehensive detection system.
Background
As the radar detection target environment becomes more complex, due to the limitation of resources and capabilities, the detection requirements for targets, especially saturated targets, cannot be met by the detection efficiency of a single radar, and the multi-radar comprehensive detection becomes an important trend for future development. The method organically organizes the radars on the platform with multiple radars, performs task allocation and resource organization among the radars according to the radar capability and technical characteristics, and comprehensively processes the detection data of each radar, thereby being an effective means for improving the comprehensive detection efficiency of the single-platform radar. The reasonable task allocation and resource organization among different radars are the key for playing the comprehensive detection efficiency of the radars and directly influence the use efficiency of the detection resources and the detection efficiency of the whole system. When a saturated task is faced, especially when detection tasks executable by various radars overlap, reasonable task management and task allocation strategies are adopted, so that the optimal overall execution effect of the saturated task and the optimization of the overall detection efficiency can be ensured.
In the current research results, resource scheduling strategies and methods of a single phased array radar are researched more, a task planning method of a multi-radar networking is also researched, and particularly, a task allocation strategy required by a task period at any time is researched; when a single-platform radar comprehensive detection system faces a full or even saturated task, due to the fact that tasks are simply distributed among radar detection devices, the problem that detection efficiency is reduced is caused because partial radar devices cannot be fully exerted due to the restriction of capacity, the execution amount of the overall task is reduced, or partial tasks with higher priority levels cannot be executed due to the restriction of the capacity and resources of the radar devices.
Disclosure of Invention
Aiming at the problem of how to plan and distribute tasks to ensure that a single-platform radar comprehensive detection system efficiently finishes a saturation detection task when facing the saturation task, the invention provides a task resource minimum entropy criterion distribution method for the single-platform radar comprehensive detection system, which quantifies the capacity value of a radar, preferentially distributes the task with high task priority to the radar with low capacity value on the premise of meeting the task distribution suitability, pursues the capacity value product of the task consumption resource and the radar executing the task and PNThe minimum criterion. For n executed tasks, thenIn the formula PNProduct of N task consumption resources and radar capability values, TjFor consuming resources of the jth task, EjThe capability value of the radar is executed for the jth task. The method specifically comprises the following steps: firstly, calculating the capability values of all radars to obtain the sequencing of the capability values of the radars from small to large; secondly, taking out tasks to be distributed according to the priority sequence of the tasks; thirdly, judging the suitability, and taking out the radar with the suitability of 1 for the task to be distributed; fourthly, distributing the tasks to the radar with the lowest current capability value according to the lowest capability value priority criterion; fifthly, according to the resource constraint criterion, stopping task allocation when the resources of all radars are used up.
The invention relates to a task resource minimum entropy criterion distribution method for a single-platform radar comprehensive detection system, which mainly comprises the following steps:
s1, calculating the capability value of each device;
s2, determining available time resources of each radar;
s3, calculating the priority of the tasks to be distributed, and sorting according to the priority;
s4, calculating time resources required by each detection task;
s5, taking out the tasks with the highest priority one by one according to the priority criterion, and calculating the suitability of the tasks corresponding to each radar;
s6, selecting equipment with the suitability degree of 1 according to the suitability degree matching criterion; the suitability matching criterion is as follows: judging parameters comprise distance, angle, precision and resolution, and what resources are; when the five aspects of more than one radar are matched with the execution requirement of the task, the suitability of the radar for executing the task is considered to be 1; when the number of radars with the suitability degree of 1 corresponding to one task is 0, the task cannot be distributed; when 1 device with the suitability degree of 1 exists, the device is directly distributed; when a plurality of radars with the suitability degree of 1 exist, screening out related equipment, and sequencing the equipment with the suitability degree of 1 according to the capacity value determined in S1;
s7, according to the priority assignment task criterion of the lowest radar capability, assigning the task to the radar with the minimum capability value determined in the step S6;
s8, calculating the time resources occupied by the tasks carried by the radars one by one according to the radars;
and S9, judging whether each radar resource is used up, if not, returning to S5, and if so, stopping task allocation according to the resource constraint criterion.
Further, in S1, each radar capability value is quantized by EjIndicating the capability value of the jth radar, ErjDenotes the jth radar range capability value, EsjIndicates the jth radar accuracy capability value, EdjThe jth radar resolution capability value is indicated. Wherein,m is the sum of the number of system radars, KrFor the order of the best to the worst (corresponding to the lowest to the highest) power of the radar, KsFor the order of the radar accuracy from good to bad (corresponding to low to high), KdThe order number of the radar resolution from good to bad (corresponding to low to high); the jth radar overall capability value is expressed as: ej=a·Erj+b·Esj+c·EdjIn the formula, a, b and c are three weight coefficients, and the values of a, b and c are 0.6, 0.3 and 0.1 in sequence according to the characteristics of radar equipment.
Further, in S7, according to the task assignment rule with the lowest radar capability and priority, the radar with the lowest capability value determined in S6 is taken out, and task assignment is preferentially performed on the radar with the lowest capability value, and then task assignment is performed on the radar with the suboptimal capability value.
The invention confirms the quantification of the detection capability of each radar by quantifying the detection capability of the radar, preferentially distributes the task with high priority to the radar which can meet the detection capability value required by the radar in the task distribution process, ensures that the high-priority task is executed, simultaneously ensures that the radar with low detection capability is reasonably used, reserves the radar resource with high detection capability as the task with high detection requirement, improves the integral resource utilization efficiency of the radar, and has important application value for the resource scheduling of the comprehensive detection system.
Drawings
FIG. 1 is a flow chart of a task allocation method based on minimum entropy criterion;
FIG. 2 is a graph comparing scheduling success rates;
FIG. 3 is a graph of time utilization versus time.
Detailed Description
The invention is further explained below with reference to the drawings.
The invention provides a method for allocating task resources of a single-platform radar comprehensive detection system according to a minimum entropy criterion, the implementation process is as shown in the attached figure 1, and the preferred implementation process can be described as follows:
s1, calculating each radar capability value Ej,EjIs the capability value of the jth radar. Quantitative calculation of each radar equipment capability value Ej,EjIs the capability value of the jth radar, ErjDenotes the jth radar range capability value, EsjIndicates the jth radar accuracy capability value, EdjThe jth radar resolution capability value is indicated.M is the sum of the number of system radars, KrOrdering of the power of the radar from good to bad, KsOrdering of bits from good to bad radar accuracy, KdSequencing the order number of the radar resolution from good to bad; the jth radar total physical ability value is: ej=a·Erj+b·Esj+c·EdjIn the formula, a, b and c are three weight coefficients, and the values of a, b and c are 0.6, 0.3 and 0.1 in sequence according to the characteristics of radar equipment.
S2, calculating the available time resource of each radar in the time allocation unit corresponding to the task to be allocated. The time unit corresponding to the task allocation can be determined according to the technical characteristics of each radar, generally corresponding to the minimum scheduling interval, generally 100ms or 200ms, that is, the task is to be allocated to the time resource of 100ms or 200ms of different radars.
S3, calculating the priority of the tasks to be distributed, and sorting the tasks from high to low according to the priority to obtain a sorting queue ListT。
S4, calculating time resources required by executing each task; the time resources required to perform the respective tasks are found in S2.
S5, according to the priority highest priority criterion, taking out the task queue ListTTask with highest medium priorityHAnd from the queue ListTThe task is deleted. Computing TaskHThe suitability calculation is estimated in accordance with the following method in accordance with the suitability of each radar.
Distance suitability degree F1:
The range suitability should take into account the satisfaction of both the maximum and minimum detection range. Besides the inherent distance detection capability of the radar, the distance suitability also needs to consider visibility influence caused by meteorological reasons, power influence under interference or clutter conditions, and over-sight detection capability and low-altitude distance reduction influence on sea surface targets caused by atmospheric waveguide phenomena.
Angle suitability F2:
③ precision is suitablePreferred degree F3:
The accuracy suitability degree should consider the precision parameter item that the task required, generally choose in the following items: distance, azimuth/bulwark angle, pitch/altitude, velocity, heading, radial velocity/doppler frequency accuracy, etc.
(iv) resolution suitability F4:
The resolution suitability should be considered in terms of the resolution parameter required by the task, and is generally selected from the following items: distance, azimuth/bulwark angle, pitch angle, etc.
Resource suitability F5:
The resource suitability is the judgment of whether the currently-callable resource of the radar meets the task resource requirement.
Comprehensive suitability degree F:
F=F1F2F3F4F5。
s6, selecting the radar with the suitability degree of 1 according to the suitability degree matching criterion: when the suitability degree F of one radar is matched with the execution requirement of the task, the suitability degree of the radar for executing the task is considered to be 1; when the number of radars with the suitability degree of 1 corresponding to one task is 0, the task cannot be distributed; when 1 device with the suitability degree of 1 exists, the device is directly distributed; when there are a plurality of radars with the suitability degree of 1, screening out related devices, and sorting the devices with the suitability degree of 1 according to the capacity value determined in S1 to obtain a radar queue ListR;
S7, according to the lowest priority rule of the ability, TaskHList assigned to Radar queueRRadar with minimal medium power; when only a single radar is matched with one task, directly distributing the task to corresponding equipment; when a plurality of radars are matched with the radars, screening out relevant equipment, and sequencing the equipment with the suitability degree of 1 according to the capacity value determined in the step S1;
s8, according to the priority assignment task criterion of the lowest radar capability, assigning the task to the radar with the minimum capability value determined in the step S6;
s9, calculating the time resources occupied by the tasks carried by the radars one by one according to the radars;
and S10, judging whether each radar resource is used up, if not, returning to S5, and if so, stopping task allocation according to the resource constraint criterion.
According to the method, the distribution algorithm design is carried out according to the steps and the method, the three-type radar is designed according to the algorithm verification requirement, indexes such as power range, precision and resolution are overlapped to different degrees, a detection task capable of covering the index requirement of the three-type radar is generated in a simulation mode, and a saturated task detection effect is formed. According to the invention, task allocation is carried out based on the minimum entropy, task allocation is carried out according to a random allocation principle, and the capability difference between two allocation algorithms is compared.
After task allocation is completed according to the method, time resources occupied by each radar executing task are estimated, the relationship between the scheduling success rate allocated according to the minimum entropy criterion and the total number of tasks is shown in FIG. 2, and the task allocation according to the minimum entropy criterion obviously improves the scheduling success rate under the multi-task condition; the relationship between the time resource utilization rate and the total number of tasks is shown in fig. 3, and the time resource utilization rate can be improved by task allocation according to the minimum entropy criterion compared with a random allocation method. As can be seen from fig. 2 and fig. 3, task allocation according to the minimum entropy criterion can significantly improve the scheduling success rate and the time resource utilization rate, verifies the effectiveness of the invention, and can be used as an effective reference for task allocation of a single-platform radar comprehensive detection system.
Claims (3)
1. The method for allocating the minimum entropy criterion of the task resources of the single-platform radar comprehensive detection system is characterized by comprising the following steps of:
s1, calculating the capability value of each device;
s2, determining available time resources of each radar;
s3, calculating the priority of the tasks to be distributed, and sorting according to the priority;
s4, calculating time resources required by each detection task;
s5, taking out the tasks with the highest priority one by one according to the priority criterion, and calculating the suitability of the tasks corresponding to each radar;
s6, selecting equipment with the suitability degree of 1 according to the suitability degree matching criterion;
the suitability matching criterion is as follows: the evaluation parameters comprise distance, angle, precision, resolution and available resources; when the five aspects of more than one radar are matched with the execution requirement of the task, the suitability of the radar for executing the task is considered to be 1; when the number of radars with the suitability degree of 1 corresponding to one task is 0, the task cannot be distributed; when 1 device with the suitability degree of 1 exists, the device is directly distributed; when a plurality of radars with the suitability degree of 1 exist, screening out related equipment, and sequencing the equipment with the suitability degree of 1 according to the capacity value determined in S1;
s7, according to the priority assignment task criterion of the lowest radar capability, assigning the task to the radar with the minimum capability value determined in the step S6;
s8, calculating the time resources occupied by the tasks carried by the radars one by one according to the radars;
and S9, judging whether each radar resource is used up, if not, returning to S5, and if so, stopping task allocation according to the resource constraint criterion.
2. The method for allocating task resources of the single-platform radar integrated detection system according to the claim 1, wherein the method comprises the following steps: in the step S1, the capability value E of each radar device is quantitatively calculatedj,EjIs the capability value of the jth radar, ErjDenotes the jth radar range capability value, EsjIndicating jth radar accuracy capabilityValue, EdjRepresenting the jth radar resolution capability value; whereinM is the sum of the radar numbers, KrOrdering of the power of the radar from good to bad, KsOrdering of bits from good to bad radar accuracy, KdSequencing the order number of the radar resolution from good to bad; the jth radar total physical ability value is: ej=a·Erj+b·Esj+c·EdjIn the formula, a, b and c are three weight coefficients, and values are 0.6, 0.3 and 0.1 in sequence.
3. The method for allocating task resources minimum entropy criteria of a single platform radar integrated detection system according to claim 1 or claim 2, wherein: and in the step S7, according to the task allocation rule of lowest priority of the radar capability, taking out the radar with the lowest capability value determined in the step S6, preferentially allocating tasks to the radar, and then allocating tasks to the radar with suboptimal capability value.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114488131A (en) * | 2022-01-27 | 2022-05-13 | 中国人民解放军空军预警学院雷达士官学校 | Radar formation cooperative detection method of multitask ordered traction strategy |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103617359A (en) * | 2013-12-04 | 2014-03-05 | 中国船舶重工集团公司第七二四研究所 | Multi-array-surface rotation phased array radar task scheduling method |
CN107067145A (en) * | 2017-01-03 | 2017-08-18 | 中国船舶重工集团公司第七二四研究所 | A kind of radar cooperative detection system task scheduling effectiveness synthesis evaluation method |
CN110456333A (en) * | 2019-07-20 | 2019-11-15 | 中国船舶重工集团公司第七二四研究所 | A kind of multisensor method for allocating tasks based on overload task amount |
-
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103617359A (en) * | 2013-12-04 | 2014-03-05 | 中国船舶重工集团公司第七二四研究所 | Multi-array-surface rotation phased array radar task scheduling method |
CN107067145A (en) * | 2017-01-03 | 2017-08-18 | 中国船舶重工集团公司第七二四研究所 | A kind of radar cooperative detection system task scheduling effectiveness synthesis evaluation method |
CN110456333A (en) * | 2019-07-20 | 2019-11-15 | 中国船舶重工集团公司第七二四研究所 | A kind of multisensor method for allocating tasks based on overload task amount |
Non-Patent Citations (2)
Title |
---|
侯泽欣等: "基于综合优先级的改进执行时间分配算法", 《雷达与对抗》 * |
吴青松等: "雷达网多任务分配方法研究", 《信息化研究》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114488131A (en) * | 2022-01-27 | 2022-05-13 | 中国人民解放军空军预警学院雷达士官学校 | Radar formation cooperative detection method of multitask ordered traction strategy |
CN114488131B (en) * | 2022-01-27 | 2023-08-04 | 中国人民解放军空军预警学院雷达士官学校 | Cooperative detection method for radar formation of multi-task ordered traction strategy |
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