CN115993596B - Characteristic parameter measurement radar resource allocation method and device and computer storage medium - Google Patents

Characteristic parameter measurement radar resource allocation method and device and computer storage medium Download PDF

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CN115993596B
CN115993596B CN202310300130.6A CN202310300130A CN115993596B CN 115993596 B CN115993596 B CN 115993596B CN 202310300130 A CN202310300130 A CN 202310300130A CN 115993596 B CN115993596 B CN 115993596B
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target
target set
characteristic acquisition
tracking
radar
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CN115993596A (en
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滕明
苑刚
李朋远
朱天林
黄剑
马艳琴
张兵
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63921 Troops of PLA
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Abstract

The invention provides a characteristic parameter measurement radar resource allocation method, which comprises the steps of determining a target set according to a plurality of targets transmitted by a search tracking radar, determining the recognition confidence coefficient of each target in the target set, selecting M targets needing to be tracked from the target set according to the recognition confidence coefficient of each target in the target set to form a tracking target set, and selecting Q targets needing characteristic measurement from the tracking target set according to the recognition confidence coefficient of each target in the tracking target set to form a measurement target set, wherein M and Q are as follows: under the condition that the cost of the radar characteristic acquisition resources meets a first preset condition, the value of the characteristic acquisition benefit function is a global optimal value, so that the guiding efficiency of the search tracking radar is effectively utilized, the number of tracking targets and broadband enabling objects can be dynamically adjusted according to the target importance level, and global optimal characteristic parameter measurement radar resource allocation is realized.

Description

Characteristic parameter measurement radar resource allocation method and device and computer storage medium
Technical Field
The invention relates to the technical field of radar systems, in particular to a characteristic parameter measurement radar resource allocation method, a characteristic parameter measurement radar resource allocation device and a computer storage medium.
Background
Multi-radar sensor systems typically are configured with a search tracking radar that focuses on target interception and a characteristic parameter measurement radar that focuses on target characteristic measurement. Target interception is achieved through the search tracking radar, and characteristic parameter measurement radar tracks key targets and acquires characteristic information such as movement characteristics and electromagnetic characteristics of the key targets.
In general, after target interception is completed by the search tracking radar, an operator sets a search screen of the characteristic parameter measurement radar according to a target interception result and experience of the search tracking radar so as to intercept an important target, tracks the important target after intercepting the important target, automatically adjusts a tracking database and enables a broadband according to search resources, tracking resources and broadband resource limit values with preset values, fails to effectively utilize the guiding efficiency of the search tracking radar, and also fails to dynamically adjust the number of the tracked targets and broadband enabled objects according to the importance level of the target.
Disclosure of Invention
Based on the technical problems, the invention provides a characteristic parameter measurement radar resource allocation method, and the method can realize global optimal characteristic parameter measurement radar resource allocation under the preliminary guiding condition.
According to a first aspect, in one embodiment, a method for allocating characteristic parameter measurement radar resources is provided, including: receiving a plurality of targets transmitted by a search tracking radar in real time; determining a set of targets from the plurality of targets transmitted by the search tracking radar; establishing a recognition confidence coefficient set of the target set according to the target set, wherein the recognition confidence coefficient set comprises a recognition confidence coefficient corresponding to each target in the target set; calculating the characteristic acquisition priority of each target in the target set according to the identification confidence coefficient set; selecting M targets to be tracked from the target set according to the identification confidence of each target in the target set to form a tracked target set, and selecting Q targets to be measured with characteristics from the tracked target set according to the identification confidence of each target in the tracked target set to form a measured target set, wherein M and Q are as follows: under the condition that the expense of the radar characteristic acquisition resources meets a first preset condition, the value of the characteristic acquisition benefit function is a global optimal value; the radar characteristic acquisition resource overhead is calculated based on the target number M of the tracking target set and the target number Q of the measuring target set; the characteristic acquisition benefit function is calculated based on the characteristic acquisition priority of each target of the tracking target set and the characteristic acquisition priority of each target of the measurement target set; and allocating characteristic parameters to each target in the tracking target set and the measuring target set to measure the resources of the radar.
In some embodiments, the set of recognition confidence is expressed as:
Figure SMS_1
, wherein ,
Figure SMS_2
s is the number of targets in the target set,
Figure SMS_3
the identification confidence of each target in the target set is the probability that the target is focused on the target, and +.>
Figure SMS_4
。
In some embodiments, the characteristic acquisition priority of each object in the set of objects is calculated by:
Figure SMS_5
, wherein ,/>
Figure SMS_6
For the purpose of->
Figure SMS_7
Acquisition priority of->
Figure SMS_8
For the target +.>
Figure SMS_9
Is a confidence of the identification of (a).
In some embodiments, the radar characteristic acquisition resource overhead is calculated by:
Figure SMS_12
, wherein ,/>
Figure SMS_15
Resource overhead is acquired for radar characteristics, and the target number of the tracking target set is M +.>
Figure SMS_18
To meet the data rate requirement of high-precision target tracking, the unit is +.>
Figure SMS_11
，/>
Figure SMS_14
For tracking the time resource overhead of the waveform, its unit ∈>
Figure SMS_17
Q the number of targets of the set of measurement targets, < >>
Figure SMS_19
Is a wideband data rate requirement in units of +.>
Figure SMS_10
，/>
Figure SMS_13
Time resource overhead for wideband measurement in +.>
Figure SMS_16
。
In some embodiments, the characteristic acquisition benefit function is calculated by:
Figure SMS_22
wherein F characteristic acquisition benefits function, +.>
Figure SMS_27
For the preset weight parameters, the two weight parameters need to satisfy
Figure SMS_30
，/>
Figure SMS_21
Benefit function for movement characteristics->
Figure SMS_25
A benefit function for electromagnetic properties; the motion profile benefit function is calculated by: />
Figure SMS_29
Wherein M is the target number of the tracking target set,
Figure SMS_33
for the purpose of->
Figure SMS_20
Characteristic acquisition priority, ++>
Figure SMS_24
The targets with the confidence degrees being arranged in the ith position from high to low in the target set are identified, namely the ith target in the tracking target set; the electromagnetic property benefit function is calculated by: />
Figure SMS_28
Wherein Q is the target number of the measurement target set, < >>
Figure SMS_32
，/>
Figure SMS_23
For the purpose of->
Figure SMS_26
Characteristic acquisition priority, ++>
Figure SMS_31
And (3) identifying the target with the confidence level being ranked in the j-th position from high to low in the tracking target set, namely the j-th target in the measuring target set.
In some embodiments, the global optimum of the characteristic acquisition benefit function is calculated by:
Figure SMS_34
, wherein ,/>
Figure SMS_35
The maximum value of the benefit function is acquired for the characteristic.
In some embodiments, the first preset condition of the radar characteristic acquisition resource overhead is that
Figure SMS_36
。
According to a second aspect, in one embodiment, there is provided a characteristic parameter measurement radar resource allocation apparatus, including: the target receiving module is used for receiving a plurality of targets transmitted by the search tracking radar in real time; the target set determining module is used for determining a target set according to the plurality of targets transmitted by the search tracking radar; the recognition confidence coefficient set establishing module is used for establishing a recognition confidence coefficient set of the target set according to the target set, wherein the recognition confidence coefficient set comprises a recognition confidence coefficient corresponding to each target in the target set; the characteristic acquisition priority calculating module is used for calculating the characteristic acquisition priority of each target in the target set according to the identification confidence coefficient set; the target determining module is used for selecting M targets to be tracked from the target set according to the identification confidence of each target in the target set to form a tracked target set, and selecting Q targets to be measured in characteristics from the tracked target set according to the identification confidence of each target in the tracked target set to form a measured target set, wherein the M and the Q are as follows: under the condition that the expense of the radar characteristic acquisition resources meets a first preset condition, the value of the characteristic acquisition benefit function is a global optimal value; the radar characteristic acquisition resource overhead is calculated based on the target number M of the tracking target set and the target number Q of the measuring target set; the characteristic acquisition benefit function is calculated based on the characteristic acquisition priority of each target of the tracking target set and the characteristic acquisition priority of each target of the measurement target set; and the resource allocation module is used for allocating characteristic parameters to each target in the tracking target set and the measuring target set to measure the resources of the radar.
In some embodiments, the target determining module includes a tracking target set selecting module, a measuring target set selecting module, a characteristic acquisition benefit function calculating module, and a global optimal value determining module; the tracking target set selection module is used for selecting M targets to be tracked from the target set according to the identification confidence of each target in the target set so as to form a tracking target set; the measuring target set selecting module is used for selecting Q targets needing characteristic measurement from the tracking target set according to the identification confidence of each target in the tracking target set so as to form a measuring target set; the characteristic acquisition benefiting function calculation module is used for calculating a characteristic acquisition benefiting function based on the characteristic acquisition priority of each target of the tracking target set and the characteristic acquisition priority of each target of the measuring target set; the global optimal value determining module is used for determining the value of the characteristic acquisition benefit function as a global optimal value under the condition that the cost of the radar characteristic acquisition resources meets a first preset condition.
According to a third aspect, an embodiment provides a computer storage medium having a program stored thereon, the program being executable by a processor to implement the foregoing method.
The method provided by the invention comprises the steps of determining a target set according to a plurality of targets transmitted by a search tracking radar, determining the recognition confidence of each target in the target set, selecting M targets to be tracked from the target set according to the recognition confidence of each target in the target set to form a tracking target set, and selecting Q targets to be measured according to the recognition confidence of each target in the tracking target set to form a measurement target set, wherein M and Q are as follows: under the condition that the cost of the radar characteristic acquisition resources meets a first preset condition, the value of the characteristic acquisition benefit function is a global optimal value, so that the guiding efficiency of the search tracking radar is effectively utilized, the number of tracking targets and broadband enabling objects can be dynamically adjusted according to the target importance level, and global optimal characteristic parameter measurement radar resource allocation is realized.
Drawings
FIG. 1 is a flow chart of a method for allocating characteristic parameter measurement radar resources;
FIG. 2 is a schematic diagram of a characteristic parameter measurement radar resource allocation device;
fig. 3 is a schematic diagram of the structure of the targeting module.
Detailed Description
The invention will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, some operations associated with the present application have not been shown or described in the specification to avoid obscuring the core portions of the present application, and may not be necessary for a person skilled in the art to describe in detail the relevant operations based on the description herein and the general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
When the target tracking and characteristic measurement tasks are executed, the equipment resources are usually set by setting the characteristic parameter measurement radar search screen to realize resource allocation, the method is suitable for working under the conditions of less target quantity and more abundant radar resources, the characteristic information such as the motion characteristics and electromagnetic characteristics of key targets cannot be acquired to the greatest extent under the dense multi-target scene, the quantity of tracked targets and broadband enabling objects cannot be dynamically adjusted according to the target importance level, and the guiding efficiency of the search tracking radar cannot be effectively utilized.
Based on the problems, the invention provides a characteristic parameter measurement radar resource allocation method by considering the requirements of target precision data rate and characteristic acquisition data rate from the viewpoint of target identification confidence, and the method can realize global optimal characteristic parameter measurement radar resource allocation under the preliminary guiding condition.
The method for allocating the characteristic parameter measurement radar resources provided by an embodiment of the present invention, as shown in fig. 1, includes:
s10: a plurality of targets transmitted by the search tracking radar are received in real time.
S20: a set of targets is determined from the plurality of targets transmitted by the search tracking radar.
In some embodiments, a target set is determined according to a plurality of targets transmitted by the search tracking radar in real time, and characteristic parameter measurement radar resource allocation is performed based on the target set, so that the guiding efficiency of the search tracking radar is effectively utilized.
S30: and establishing a recognition confidence coefficient set of the target set according to the target set, wherein the recognition confidence coefficient set comprises a recognition confidence coefficient corresponding to each target in the target set.
In some embodiments, the set of recognition confidence is expressed as:
Figure SMS_37
, wherein ,
Figure SMS_38
for the targets in the target set, s is the number of targets in the target set,/for the target set>
Figure SMS_39
For the recognition confidence of the corresponding targets in the target set, the recognition confidence of each target in the target set is the probability that the target is the target of major attention, and +.>
Figure SMS_40
The probability that the target is the focus target is a preset value.
S40: and calculating the characteristic acquisition priority of each target in the target set according to the identification confidence coefficient set.
In some embodiments, the characteristic acquisition priority of each object in the set of objects is calculated by:
Figure SMS_41
, wherein ,/>
Figure SMS_42
For the purpose of->
Figure SMS_43
Is used for the acquisition priority of (1),
Figure SMS_44
for the target +.>
Figure SMS_45
Is a confidence of the identification of (a).
S50: selecting M targets to be tracked from the target set according to the identification confidence of each target in the target set to form a tracked target set, and selecting Q targets to be measured with characteristics from the tracked target set according to the identification confidence of each target in the tracked target set to form a measured target set, wherein M and Q are as follows: under the condition that the expense of the radar characteristic acquisition resources meets a first preset condition, the value of the characteristic acquisition benefit function is a global optimal value; the radar characteristic acquisition resource cost is calculated based on the target number M of the tracking target set and the target number Q of the measuring target set; the property acquisition benefit function is calculated based on the property acquisition priority of each object of the set of tracked objects and the property acquisition priority of each object of the set of measured objects.
In some embodiments, the radar characteristic acquisition resource overhead is calculated by:
Figure SMS_47
, wherein ,/>
Figure SMS_52
Resource overhead is acquired for radar characteristics, M is the target number of a tracking target set, and +.>
Figure SMS_55
To meet the data rate requirement of high-precision target tracking, the unit is +.>
Figure SMS_49
，/>
Figure SMS_53
The time resource overhead for tracking waveforms is in units of +.>
Figure SMS_56
Q is the target number of the measurement target set, < +.>
Figure SMS_59
Is a wideband data rate requirement in units of
Figure SMS_46
，/>
Figure SMS_50
Time resource overhead for wideband measurement in +.>
Figure SMS_54
，/>
Figure SMS_58
and />
Figure SMS_48
Can be obtained by consulting radar waveform parameters, +.>
Figure SMS_51
and />
Figure SMS_57
Is required by the characteristic parameter userThe calculation is well determined before the task is executed.
In some embodiments, the characteristic acquisition benefit function is calculated by:
Figure SMS_60
wherein F characteristic acquisition benefits function, +.>
Figure SMS_61
For the preset weight parameters, two weight parameters have to be satisfied +.>
Figure SMS_62
，/>
Figure SMS_63
Benefit function for movement characteristics->
Figure SMS_64
For the electromagnetic properties to benefit from a function,
Figure SMS_65
determined by expert scoring.
The motion profile benefit function is calculated by:
Figure SMS_66
wherein M is the target number of the tracking target set, < ->
Figure SMS_67
For the purpose of->
Figure SMS_68
Characteristic acquisition priority, ++>
Figure SMS_69
The targets with the confidence level being ranked in the ith position from high to low in the target set are identified, namely the ith target in the target set is tracked.
The electromagnetic property benefit function is calculated by:
Figure SMS_70
wherein Q is the target number of the measurement target set, < ->
Figure SMS_71
，/>
Figure SMS_72
For the purpose of->
Figure SMS_73
Characteristic acquisition priority, ++>
Figure SMS_74
The jth target in the target set is measured in order to track the target with the confidence level being ranked from high to low in the jth target set.
In some embodiments, the global optimum of the property acquisition benefit function is calculated by:
Figure SMS_75
, wherein ,/>
Figure SMS_76
The maximum value of the benefit function is collected for the characteristic.
In some embodiments, the first preset condition for radar characteristic acquisition resource overhead is
Figure SMS_77
That is, 20% of the resources are reserved for the overhead of guiding search tracking, and 80% of the resources are used for radar deployment for characteristic parameter measurement.
S60: and allocating characteristic parameters to each target in the tracking target set and the measuring target set to measure the resources of the radar.
Is satisfied that
Figure SMS_78
Under the constraint condition of (1), characteristic parameter measurement is carried out on each target in a tracking target set and a measuring target set when the characteristic acquisition benefits the maximum value of the functionThe radar resource comprises M targets before the recognition confidence sequencing in the target set, and the measurement target set comprises M targets before the recognition confidence sequencing in the target set.
The method provided by the invention is characterized in that from the viewpoint of target recognition confidence, M targets to be tracked are selected from a target set according to the recognition confidence of each target in the target set to form a tracking target set, and Q targets to be measured with characteristics are selected from the tracking target set according to the recognition confidence of each target in the tracking target set to form a measuring target set, wherein M and Q are as follows: under the condition that the cost of radar characteristic acquisition resources meets a first preset condition, the value of a characteristic acquisition benefit function is a global optimal value, the number of tracked targets and broadband enabling objects can be dynamically adjusted according to the target importance level, and global optimal characteristic parameter measurement radar resource allocation is achieved.
In another embodiment of the present invention, a radar resource allocation device for measuring characteristic parameters is provided, as shown in fig. 2, including: a target receiving module 10 for receiving a plurality of targets transmitted by the search tracking radar in real time; a target set determining module 20 for determining a target set from the plurality of targets transmitted by the search tracking radar; an identification confidence set creation module 30 for creating an identification confidence set of the target set from the target set, wherein the identification confidence set includes an identification confidence corresponding to each target in the target set; a characteristic acquisition priority calculation module 40, configured to calculate a characteristic acquisition priority of each target in the target set according to the recognition confidence set; the target determining module 50 is configured to select M targets to be tracked from the target set according to the recognition confidence of each target in the target set to form a tracked target set, and select Q targets to be measured for characteristics from the tracked target set according to the recognition confidence of each target in the tracked target set to form a measured target set, where M and Q are such that: under the condition that the expense of the radar characteristic acquisition resources meets a first preset condition, the value of the characteristic acquisition benefit function is a global optimal value; the radar characteristic acquisition resource cost is calculated based on the target number M of the tracking target set and the target number Q of the measuring target set; the characteristic acquisition benefit function is calculated based on the characteristic acquisition priority of each target of the tracking target set and the characteristic acquisition priority of each target of the measuring target set; the resource allocation module 60 is configured to allocate characteristic parameters to each target in the tracking target set and the measurement target set to measure resources of the radar.
In some embodiments, the recognition confidence set-up module 30 represents the recognition confidence set as:
Figure SMS_79
, wherein ,/>
Figure SMS_80
For the targets in the target set, s is the number of targets in the target set,/for the target set>
Figure SMS_81
For the recognition confidence of the corresponding targets in the target set, the recognition confidence of each target in the target set is the probability that the target is the target of major attention, and +.>
Figure SMS_82
The probability that the target is the focus target is a preset value.
In some embodiments, the characteristic acquisition priority calculation module 40 calculates the characteristic acquisition priority of each object in the set of objects by:
Figure SMS_83
, wherein ,/>
Figure SMS_84
For the purpose of->
Figure SMS_85
Acquisition priority of->
Figure SMS_86
For the target +.>
Figure SMS_87
Is a confidence of the identification of (a).
In some embodiments, as shown in fig. 3, the target determining module 50 includes a tracking target set selecting module 51, a measurement target set selecting module 52, a characteristic acquisition benefit function calculating module 53, a radar characteristic acquisition resource overhead calculating module 54, and a global optimum determining module 55; the tracking target set selecting module 51 is configured to select M targets to be tracked from the target set according to recognition confidence of each target in the target set to form a tracking target set; the measurement target set selection module 52 is configured to select Q targets requiring characteristic measurement from the tracking target set according to recognition confidence of each target in the tracking target set to form a measurement target set; a characteristic acquisition benefit function calculation module 53 for calculating a characteristic acquisition benefit function based on the characteristic acquisition priority of each target of the tracking target set and the characteristic acquisition priority of each target of the measurement target set; a radar characteristic acquisition resource overhead calculation module 54 for acquiring a resource overhead based on the radar characteristic calculated by the target number M of the tracking target set and the target number Q of the measurement target set; the global optimal value determining module 55 is configured to determine a value of the characteristic acquisition benefit function as a global optimal value when the radar characteristic acquisition resource overhead meets a first preset condition.
In some embodiments, radar characteristic acquisition resource overhead calculation module 54 calculates radar characteristic acquisition resource overhead by:
Figure SMS_89
, wherein ,/>
Figure SMS_93
Resource overhead is acquired for radar characteristics, and the target number of the tracking target set is M +.>
Figure SMS_97
To meet the data rate requirement of high-precision target tracking, the unit is +.>
Figure SMS_91
，/>
Figure SMS_94
For tracking the time resource overhead of the waveform, its unit ∈>
Figure SMS_98
Q is the target number of the measurement target set, < >>
Figure SMS_101
Is a wideband data rate requirement in units of +.>
Figure SMS_88
，/>
Figure SMS_92
Time resource overhead for wideband measurement in +.>
Figure SMS_96
，/>
Figure SMS_100
and />
Figure SMS_90
Can be obtained by consulting radar waveform parameters, +.>
Figure SMS_95
and />
Figure SMS_99
The requirements are put forward by the characteristic parameter user, and the requirements are well determined before the task is executed.
In some embodiments, the property acquisition benefit function calculation module 53 calculates the property acquisition benefit function by:
Figure SMS_102
wherein F is a characteristic acquisition benefit function, < ->
Figure SMS_103
For the preset weight parameters, two weightsParameters are required to meet->
Figure SMS_104
，/>
Figure SMS_105
Benefit function for movement characteristics->
Figure SMS_106
Benefit from the function for electromagnetic properties->
Figure SMS_107
Determined by expert scoring.
The motion profile benefit function is calculated by:
Figure SMS_108
wherein M tracks the number of targets of the target set, < >>
Figure SMS_109
For the purpose of->
Figure SMS_110
Characteristic acquisition priority, ++>
Figure SMS_111
The targets with the confidence level being ranked in the ith position from high to low in the target set are identified, namely the ith target in the target set is tracked.
The electromagnetic property benefit function is calculated by:
Figure SMS_112
wherein Q is the target number of the measurement target set, < ->
Figure SMS_113
，/>
Figure SMS_114
For the purpose of->
Figure SMS_115
Characteristic acquisition priority, ++>
Figure SMS_116
The jth target in the target set is measured in order to track the target with the confidence level being ranked from high to low in the jth target set.
In some embodiments, the global optimum determination module 55 calculates the global optimum of the property acquisition benefit function by:
Figure SMS_117
, wherein ,/>
Figure SMS_118
The maximum value of the benefit function is acquired for the characteristic.
In another embodiment of the present invention, a computer storage medium is provided, on which a program is stored, the program being executable by a processor to implement the aforementioned method.
The foregoing description of the invention has been presented for purposes of illustration and description, and is not intended to be limiting. Several simple deductions, modifications or substitutions may also be made by a person skilled in the art to which the invention pertains, based on the idea of the invention.

Claims (6)

1. A characteristic parameter measurement radar resource allocation method is characterized by comprising the following steps:
receiving a plurality of targets transmitted by a search tracking radar in real time;
determining a set of targets from the plurality of targets transmitted by the search tracking radar;
establishing a recognition confidence coefficient set of the target set according to the target set, wherein the recognition confidence coefficient set comprises a recognition confidence coefficient corresponding to each target in the target set;
calculating the characteristic acquisition priority of each target in the target set according to the identification confidence coefficient set;
selecting M targets to be tracked from the target set according to the identification confidence of each target in the target set to form a tracked target set, and selecting Q targets to be measured with characteristics from the tracked target set according to the identification confidence of each target in the tracked target set to form a measured target set, wherein M and Q are as follows: under the condition that the expense of the radar characteristic acquisition resources meets a first preset condition, the value of the characteristic acquisition benefit function is a global optimal value; the radar characteristic acquisition resource overhead is calculated based on the target number M of the tracking target set and the target number Q of the measuring target set; the characteristic acquisition benefit function is calculated based on the characteristic acquisition priority of each target of the tracking target set and the characteristic acquisition priority of each target of the measurement target set;
allocating characteristic parameters to each target in the tracking target set and the measuring target set to measure the resources of the radar; wherein:
the set of recognition confidence levels is expressed as:
Figure QLYQS_1
，
wherein ,
Figure QLYQS_2
s is the number of targets in the target set,
Figure QLYQS_3
the identification confidence of each target in the target set is the probability that the target is focused on the target, and +.>
Figure QLYQS_4
；
The characteristic acquisition priority of each object in the set of objects is calculated by:
Figure QLYQS_5
，
wherein ,
Figure QLYQS_6
for the purpose of->
Figure QLYQS_7
Acquisition priority of->
Figure QLYQS_8
For the target +.>
Figure QLYQS_9
Is the identification confidence of (a);
the radar characteristic acquisition resource overhead is calculated by the following way:
Figure QLYQS_10
，
wherein ,
Figure QLYQS_12
resource overhead is acquired for radar characteristics, M is the target number of the tracking target set, +.>
Figure QLYQS_14
To meet the data rate requirement of high-precision target tracking, the unit is +.>
Figure QLYQS_17
，/>
Figure QLYQS_13
The time resource overhead for tracking waveforms is in units of +.>
Figure QLYQS_16
Q is the target number of the measurement target set, < >>
Figure QLYQS_18
Is a wideband data rate requirement in units of +.>
Figure QLYQS_19
，/>
Figure QLYQS_11
Time resource overhead for wideband measurement in +.>
Figure QLYQS_15
；
The characteristic acquisition benefit function is calculated by:
Figure QLYQS_20
，
wherein F is a characteristic acquisition benefit function,
Figure QLYQS_21
for the preset weight parameters, the two weight parameters need to satisfy
Figure QLYQS_22
，/>
Figure QLYQS_23
Benefit function for movement characteristics->
Figure QLYQS_24
A benefit function for electromagnetic properties;
the motion profile benefit function is calculated by:
Figure QLYQS_25
，
wherein M is the target number of the tracking target set,
Figure QLYQS_26
for the purpose of->
Figure QLYQS_27
Characteristic acquisition priority, ++>
Figure QLYQS_28
The targets with the confidence degrees being arranged in the ith position from high to low in the target set are identified, namely the ith target in the tracking target set;
the electromagnetic property benefit function is calculated by:
Figure QLYQS_29
，
wherein Q is the target number of the measurement target set,
Figure QLYQS_30
，/>
Figure QLYQS_31
for the purpose of->
Figure QLYQS_32
Characteristic acquisition priority, ++>
Figure QLYQS_33
And (3) identifying the target with the confidence level being ranked in the j-th position from high to low in the tracking target set, namely the j-th target in the measuring target set.
2. The method of claim 1, wherein the global optimum of the characteristic acquisition benefit function is calculated by:
Figure QLYQS_34
，
wherein ,
Figure QLYQS_35
the maximum value of the benefit function is acquired for the characteristic.
3. The method of claim 2, wherein the first preset condition for radar characteristic acquisition resource overhead is
Figure QLYQS_36
。
4. A characteristic parameter measurement radar resource allocation device, characterized by comprising:
the target receiving module is used for receiving a plurality of targets transmitted by the search tracking radar in real time;
the target set determining module is used for determining a target set according to the plurality of targets transmitted by the search tracking radar;
the recognition confidence coefficient set establishing module is used for establishing a recognition confidence coefficient set of the target set according to the target set, wherein the recognition confidence coefficient set comprises a recognition confidence coefficient corresponding to each target in the target set;
the characteristic acquisition priority calculating module is used for calculating the characteristic acquisition priority of each target in the target set according to the identification confidence coefficient set;
the target determining module is used for selecting M targets to be tracked from the target set according to the identification confidence of each target in the target set to form a tracked target set, and selecting Q targets to be measured in characteristics from the tracked target set according to the identification confidence of each target in the tracked target set to form a measured target set, wherein the M and the Q are as follows: under the condition that the expense of the radar characteristic acquisition resources meets a first preset condition, the value of the characteristic acquisition benefit function is a global optimal value; the radar characteristic acquisition resource overhead is calculated based on the target number M of the tracking target set and the target number Q of the measuring target set; the characteristic acquisition benefit function is calculated based on the characteristic acquisition priority of each target of the tracking target set and the characteristic acquisition priority of each target of the measurement target set;
the resource allocation module is used for allocating characteristic parameters to each target in the tracking target set and the measuring target set to measure the resources of the radar; wherein:
the set of recognition confidence levels is expressed as:
Figure QLYQS_37
，
wherein ,
Figure QLYQS_38
s is the number of targets in the target set,
Figure QLYQS_39
the identification confidence of each target in the target set is the probability that the target is focused on the target, and +.>
Figure QLYQS_40
；
The characteristic acquisition priority of each object in the set of objects is calculated by:
Figure QLYQS_41
，
wherein ,
Figure QLYQS_42
for the purpose of->
Figure QLYQS_43
Acquisition priority of->
Figure QLYQS_44
For the object->
Figure QLYQS_45
Mesh of collectionA target recognition confidence;
the radar characteristic acquisition resource overhead is calculated by the following way:
Figure QLYQS_46
，
wherein ,
Figure QLYQS_48
resource overhead is acquired for radar characteristics, and the target number of the tracking target set is M +.>
Figure QLYQS_52
To meet the data rate requirement of high-precision target tracking, the unit is +.>
Figure QLYQS_54
，/>
Figure QLYQS_49
The time resource overhead for tracking waveforms is in units of +.>
Figure QLYQS_51
Q the number of targets of the set of measurement targets, < >>
Figure QLYQS_53
Is a wideband data rate requirement in units of +.>
Figure QLYQS_55
，/>
Figure QLYQS_47
Time resource overhead for wideband measurement in +.>
Figure QLYQS_50
；
The characteristic acquisition benefit function is calculated by:
Figure QLYQS_56
，
wherein F is a characteristic acquisition benefit function,
Figure QLYQS_57
for the preset weight parameters, the two weight parameters need to satisfy
Figure QLYQS_58
，/>
Figure QLYQS_59
Benefit function for movement characteristics->
Figure QLYQS_60
A benefit function for electromagnetic properties;
the motion profile benefit function is calculated by:
Figure QLYQS_61
，
wherein M is the target number of the tracking target set,
Figure QLYQS_62
for the purpose of->
Figure QLYQS_63
Characteristic acquisition priority, ++>
Figure QLYQS_64
The targets with the confidence degrees being arranged in the ith position from high to low in the target set are identified, namely the ith target in the tracking target set;
the electromagnetic property benefit function is calculated by:
Figure QLYQS_65
，
wherein Q is the target number of the measurement target set,
Figure QLYQS_66
,/>
Figure QLYQS_67
target->
Figure QLYQS_68
Characteristic acquisition priority, ++>
Figure QLYQS_69
And (3) identifying the target with the confidence level being ranked in the j-th position from high to low in the tracking target set, namely the j-th target in the measuring target set.
5. The apparatus of claim 4, wherein the target determination module comprises a tracking target set selection module, a measurement target set selection module, a characteristic acquisition benefit function calculation module, a radar characteristic acquisition resource overhead calculation module, and a global optimum determination module; the tracking target set selection module is used for selecting M targets to be tracked from the target set according to the identification confidence of each target in the target set so as to form a tracking target set; the measuring target set selecting module is used for selecting Q targets needing characteristic measurement from the tracking target set according to the identification confidence of each target in the tracking target set so as to form a measuring target set; the characteristic acquisition benefiting function calculation module is used for calculating a characteristic acquisition benefiting function based on the characteristic acquisition priority of each target of the tracking target set and the characteristic acquisition priority of each target of the measuring target set; the radar characteristic acquisition resource overhead calculation module is used for acquiring resource overhead based on radar characteristics calculated by the target number M of the tracking target set and the target number Q of the measuring target set; the global optimal value determining module is used for determining the value of the characteristic acquisition benefit function as a global optimal value under the condition that the cost of the radar characteristic acquisition resources meets a first preset condition.
6. A computer storage medium, characterized in that the medium has stored thereon a program, which is executable by a processor to implement the method of any of claims 1-3.
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