CN117041250B - Wireless communication link quality assessment method for intelligent command control - Google Patents
Wireless communication link quality assessment method for intelligent command control Download PDFInfo
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Abstract
The invention belongs to the field of wireless communication link control, and particularly relates to a communication link quality evaluation method. After a task bid inviting unit issues a bid inviting invitation, an intelligent twin call communication quality perception unit evaluates the communication quality of an uplink wireless communication link between fight units required to be called by the intelligent twin; when evaluating, firstly selecting link quality parameters, then blurring attribute values and obtaining weights of all evaluation attributes, and comprehensively considering a plurality of attributes of the links to complete link quality evaluation; the evaluation result is integrated in the intelligent twin body, and quantized input is provided for the command control system to realize command control based on communication perception. The command control system dynamically builds command control relation based on the quantitative evaluation result, inverts the causal relation of communication command control, changes communication guarantee command control into command control link building based on communication, and reduces the restriction of communication capacity on combat capability to a certain extent.
Description
Technical Field
The invention belongs to the field of wireless communication link control, and particularly relates to a communication link quality evaluation method.
Background
The construction of the intelligent fight system is based on the perception of resources such as cloud, network, communication, fight service, guarantee service and the like, and the unified construction of various heterogeneous resources with fight tasks as traction is realized. In terms of communication, the perception and quantitative evaluation of the communication quality of a wireless communication link are realized, the causal relationship of communication command control is inverted, and communication guarantee command control is changed into command control link construction based on communication, namely, the traditional command control relationship is that firstly, a combat task is distributed to a combat platform according to combat task decomposition and distribution, and the wireless communication link needs to realize the communication bandwidth and the communication distance required by command control; the method is changed into the method, based on the perception of communication quality, the global view of wireless communication quality in tactical scenes is obtained, the comprehensive programming of combat platform service and communication quality taking combat tasks as guarantees is realized by combining with the service encapsulation of combat platforms, and the combat tasks are completed by selecting platforms with communication capability and combat capability, so that a foundation is provided for the construction of an intelligent combat system.
The Chinese patent 202310217931.6 discloses a bid distribution method for an intelligent combat task, which is based on a collaborative command control system, utilizes a set bid unit to realize task signing with an intelligent twin body, the intelligent twin body further issues tasks to a specific combat unit according to rules, the intelligent twin body and the combat unit are communicated in a wireless mode, a wireless communication link generally adopts a wireless channel as a physical transmission medium, and the wireless communication link has the characteristic of instability and is more easily influenced by a physical environment and a same-frequency-band wireless network. On the other hand, a radio channel as a transmission carrier has a time-varying property that the quality of a transmission medium is gradually changed with the lapse of time, and the channel quality may be completely different at different times. Specifically, when information is transmitted, the packet loss rate, the frame error rate and the retransmission times are greatly different according to different time periods, so that high-quality transmission of the information is affected. Meanwhile, the propagation characteristics of the wireless channel are limited by the complex and diverse environments around, and the topography, vegetation, architecture, scatterers and the like may cause the radio waves to undergo reflection, diffraction and scattering propagation, thereby causing multipath effects. In the high-speed moving scene, the relative position of the receiving end and the surrounding scatterers moves, and the Doppler effect is caused, so that the propagation environment of a wireless channel is more complex and variable, and the instability of a wireless communication link network is aggravated. Therefore, efficient assessment and analysis of the quality of the communication link is particularly important.
Disclosure of Invention
The purpose of the invention is that: the wireless communication link quality assessment method for intelligent command control is provided for guaranteeing the wireless communication link quality of the intelligent command control system in the combat mission distribution process.
The technical scheme of the invention is as follows: a wireless communication link quality assessment method of intelligent command control is provided, wherein a communication quality perception unit is arranged in an intelligent twin body; the evaluation method comprises the following steps:
after a task bid inviting unit issues bid inviting invitations, an intelligent twin body invokes a communication quality perception unit to evaluate the communication quality of an uplink wireless communication link between the fight units required to be invoked by the intelligent twin body; when evaluating, firstly selecting link quality parameters, then blurring attribute values and obtaining weights of all evaluation attributes, and comprehensively considering a plurality of attributes of the links to complete link quality evaluation;
If the communication quality of the communication link can not meet the wireless communication link requirement required by normal command, feeding back refusal information to the task bidding unit, and attaching the quantitative evaluation result of the required wireless communication link to the refusal bidding feedback information; and if the communication quality of the communication link can meet the wireless communication link requirement required by normal command, continuing to execute the bidding procedure.
In the above scheme, the communication quality sensing unit adopts the following method to evaluate the communication quality of the wireless communication link:
A. In the probing period k, the communication quality sensing unit sends data probing packets to the combat units to obtain quality parameters LQPs of n communication links { s 1,s2,...,sn }, and a jth Link Quality Parameter (LQPs) ij of an ith link includes: { PRR ij,RSSIij,SNRij }, wherein:
PRR is the successful receiving rate of the data packet, RSSI is the signal receiving intensity, and SNR is the signal-to-noise ratio; according to the link quality parameters in the k detection periods, evaluating the link communication quality;
B. Using the successful receiving rate PRR of the data packet in one detection period, the mean square error SNR Dv of the signal-to-noise ratio SNR and the mean value Rs of the signal receiving intensity RSSI in the period as an attribute set { PRR, SNR Dv, rs }; the attribute values of each attribute in the attribute set { PRR, SNR Dv, rs } are respectively represented by alpha, beta and gamma; respectively establishing a data packet receiving rate matrix, a signal-to-noise ratio mean square error matrix and a receiving signal intensity matrix:
C. blurring processing is carried out on the attribute values of the communication links;
the number of intervals obtained is expressed as: [ mu (a ij)-σ(aij),μ(aij)+σ(aij) ], wherein mu (a ij) and sigma (a ij) are respectively:
And marking the interval multi-attribute decision matrix after the blurring processing as:
Simplifying the formula (4) and transposing to obtain:
D. Normalizing the attribute values of different dimensions;
Continuing to normalize the benefit-type attribute of the transmission efficiency and the received signal strength by adopting a formula (6); the fluctuation degree of the link belongs to the cost type attribute and is standardized by adopting a formula (7);
The normalized results are expressed as:
E. determining each attribute weight by using an entropy method;
The ideal target and worst target of the link transmission efficiency attribute are expressed as:
for the entropy method, the construction of the dissimilarity matrix Δ is expressed as:
In the formula (12) of the present invention, In calculating the dissimilarity matrix, entropy of all paths with respect to each attribute:
Calculating the deviation degree of each attribute:
calculating the weight of each attribute:
And finally obtaining an attribute weight matrix: [ w α,wβ,wγ ];
F. Comprehensive treatment;
calculating a weighted standardized decision matrix:
Determining an ideal target v + and a worst target v -:
calculating the dissimilarity distance between each link and the ideal scheme and the worst scheme respectively:
Calculating the closeness degree of each link and an ideal scheme:
The communication quality of each link is quantitatively evaluated by using the magnitude of the proximity value between the link and the ideal scheme.
The beneficial effects are that: (1) According to the invention, the communication quality perception unit is arranged in the intelligent twin body, the quality assessment method is utilized to provide quantitative assessment for the wireless communication quality between the intelligent twin body and the combat unit, the command control system dynamically constructs command control relation based on the quantitative assessment result, the causal relation of communication command control is inverted, the communication guarantee command control is changed into a command control link constructed based on communication, and the limitation of communication capacity on combat capacity is reduced to a certain extent.
(2) The invention provides an evaluation method of communication quality of a physical wireless communication link, which can evaluate the communication quality through network layer delay and packet loss rate in practical application, and compared with the evaluation of the communication quality of a network layer, the evaluation of physical layer information such as RSSI signal receiving intensity, SNR signal to noise ratio and the like based on the physical layer is higher in timeliness and evaluation precision, and can more effectively support command control based on communication.
Drawings
FIG. 1 is a schematic diagram of a system architecture according to the present invention;
FIG. 2 is a flowchart of a method for determining weights of various attributes by entropy method in embodiment 3 of the present invention;
Fig. 3 is a flowchart of a method for comprehensively processing each attribute in embodiment 3 of the present invention.
Detailed Description
Example 1: referring to fig. 1, a wireless communication link quality evaluation method for intelligent command control is based on an intelligent command control system, which comprises: the system comprises a decision support unit, a task bidding unit and an intelligent twin body; and a task bidding unit and a communication quality perception unit are arranged in the intelligent twin body.
The decision support unit translates the combat intention of the commander into a top-level combat scheme, and combines the battlefield situation with the monitoring resources and the communication state of the combat elements to form combat tasks.
The task bidding unit decomposes the fight task into fight subtasks, interacts with the task bidding unit in the intelligent twin body through a task distribution protocol, and automatically realizes the distribution of the fight task.
The intelligent twin virtualizes the resources and the capacities of the corresponding fight units, and realizes the abstraction, management and extraction and analysis of the running states of the resources of the fight units; the task bidding unit interacts with the task bidding unit based on the resources and capabilities of the intelligent twins, and signs part of the combat task with the task bidding unit according to the evaluation of the resource state, the health state and the communication state of the corresponding combat unit.
In the process of signing a task, the intelligent twin body firstly evaluates the communication quality of an uplink wireless communication link between the combat units to be called, and the wireless communication link quality evaluation method comprises the following steps:
After a task bid inviting unit issues bid inviting invitations, an intelligent twin body invokes a communication quality perception unit to evaluate the communication quality of an uplink wireless communication link between the fight units required to be invoked by the intelligent twin body; when the method is used for evaluating, firstly, the link quality parameters are selected, then the attribute values are blurred, the weight of each evaluation attribute is obtained, the link quality evaluation is completed by comprehensively considering a plurality of attributes of the link, the evaluation result is integrated in the intelligent twin body, and quantized input is provided for the command control system to realize command control based on communication perception.
If the communication quality of the communication link can not meet the wireless communication link requirement required by normal command, feeding back refusal information to the task bidding unit, and attaching the quantitative evaluation result of the required wireless communication link to the refusal bidding feedback information; and if the communication quality of the communication link can meet the wireless communication link requirement required by normal command, continuing to execute the bidding procedure.
Example 2: on the basis of embodiment 1, further, after the quality evaluation of the wireless communication link, the intelligent twin body further checks whether the fight unit is in a usable state, if the fight unit to be called is not usable, refuses the subtask, feeds back refusal information to the task bidding unit, attaches reasons for refusal in the refusal information, the usable state comprises the health state, the oil (or electric quantity) state, the in-use state and the like of the fight unit, and exits the program after the refusal information is fed back, otherwise, the next step is continuously executed.
When the intelligent twin receives bidding information or bidding invitation and the two steps of evaluation are passed, whether the basic capacity of the intelligent twin meets the task requirement is evaluated, if so, the task income and the cost are calculated, and when the net income reaches the expected constant value, a bidding book is manufactured according to the requirement to bid; and refusing bidding if the bidding requirements are not met or the net income is smaller than the fixed value.
When the intelligent twin body evaluation unit passes the evaluation, the task signing is successful, a combat scheme is formed through the intelligent twin body, and the task of the promoter is executed.
Example 3: based on embodiment 1, further, the implementation process of the communication quality sensing unit mainly comprises two parts, namely selecting link quality parameters and evaluating link quality by using uncertain multi-attribute decision, and the implementation process comprises the following steps: firstly, selecting link quality parameters, wherein the parameters can reflect the link state to a certain extent, and selecting parameters required by link quality evaluation in order to fully utilize link quality information; and secondly, utilizing the link quality assessment of uncertain multi-attribute decision, considering that the standards on the link quality are not uniform, the contribution of each assessment attribute to the link quality is different, blurring the attribute value, acquiring the weight of each assessment attribute, and comprehensively considering the multiple attributes of the link to finish the link quality assessment.
The communication quality of the wireless communication link is evaluated by the following method:
A. In the probing period, the communication quality sensing unit sends data probing packets to the combat units to obtain quality parameters LQPs, (Link Quality Parameters) of n communication links { s 1,s2,...,sn }, and a j-th Link Quality Parameter (LQPs) ij of an i-th link includes: { PRR ij,RSSIij,SNRij }, wherein: PRR is the successful receiving rate of the data packet, RSSI is the signal receiving intensity, and SNR is the signal-to-noise ratio; according to the link quality parameters in the k detection periods, evaluating the link communication quality;
B. Using the successful receiving rate PRR of the data packet in one detection period, the mean square error SNR Dv of the signal-to-noise ratio SNR and the mean value Rs of the signal receiving intensity RSSI in the period as an attribute set { PRR, SNR Dv, rs }; the attribute values of each attribute in the attribute set { PRR, SNR Dv, rs } are respectively represented by alpha, beta and gamma; respectively establishing a data packet receiving rate matrix, a signal-to-noise ratio mean square error matrix and a receiving signal intensity matrix:
C. blurring processing is carried out on the attribute values of the communication links;
And the interval ambiguity number is used for representing attribute values of a plurality of detection periods of each link so as to consider that different decision makers have different quantization standards on communication quality. Blurring processing is performed on the communication link attribute value, and the obtained interval number is expressed as: [ mu (a ij)-σ(aij),μ(aij)+σ(aij) ], wherein mu (a ij) and sigma (a ij) are respectively:
And marking the interval multi-attribute decision matrix after the blurring processing as:
Simplifying the formula (4) and transposing to obtain:
D. Normalizing the attribute values of different dimensions;
For different attributes, the dimensions are different, and in order to improve the accuracy of evaluation, standardized processing operation is required to be carried out on attribute values of different dimensions; continuing to normalize the benefit-type attribute of the transmission efficiency and the received signal strength by adopting a formula (6); the fluctuation degree of the link belongs to the cost type attribute and is standardized by adopting a formula (7);
The normalized results are expressed as:
E. determining each attribute weight by using an entropy method;
In a communication link, the contribution of packet reception, signal-to-noise ratio, and received signal strength to the link quality is different. In general, packet efficiency is more significant for link characterization; the signal-to-noise ratio reflects the reliability of the packet receiving rate and can indirectly reflect the link quality; the received signal strength reflects the degree of attenuation of the signal. The above normalized results are typically used to determine the individual attribute weights by entropy methods. For the operational flow of the entropy method, as shown in fig. 2:
The ideal target and worst target of the link transmission efficiency attribute are expressed as:
for the entropy method, the construction of the dissimilarity matrix Δ is expressed as:
In the formula (12) of the present invention,
In calculating the dissimilarity matrix, entropy of all paths with respect to each attribute:
Calculating the deviation degree of each attribute:
calculating the weight of each attribute:
And finally obtaining an attribute weight matrix: [ w α,wβ,wγ ];
F. Comprehensive treatment;
Carrying out comprehensive treatment on each attribute, wherein each attribute comprehensive treatment step is a flow chart, as shown in fig. 3;
calculating a weighted standardized decision matrix:
Determining an ideal target v + and a worst target v -:
calculating the dissimilarity distance between each link and the ideal scheme and the worst scheme respectively:
Calculating the closeness degree of each link and an ideal scheme:
The communication quality of each link is quantitatively evaluated by using the magnitude of the proximity value between the link and the ideal scheme.
Claims (1)
1. A wireless communication link quality assessment method of intelligent command control is characterized in that a communication quality perception unit is arranged in an intelligent twin body; the evaluation method comprises the following steps:
after a task bid inviting unit issues bid inviting invitations, an intelligent twin body invokes a communication quality perception unit to evaluate the communication quality of an uplink wireless communication link between the fight units required to be invoked by the intelligent twin body; when evaluating, firstly selecting link quality parameters, then blurring attribute values and obtaining weights of all evaluation attributes, and comprehensively considering a plurality of attributes of the links to complete link quality evaluation;
If the communication quality of the communication link can not meet the wireless communication link requirement required by normal command, feeding back refusal information to the task bidding unit, and attaching the quantitative evaluation result of the required wireless communication link to the refusal bidding feedback information; if the communication quality of the communication link can meet the wireless communication link requirement required by normal command, continuing to execute the bidding process;
the communication quality perception unit adopts the following method to evaluate the communication quality of the wireless communication link:
A. In the detection period In, the communication quality sensing unit sends data detection packets to the combat units to obtain/>Strip communication link/>Quality parameter LQPs, no./>H/th of the strip linkSecondary link quality parameter/>Comprising: { PRR ij,RSSIij, SNRij }, wherein:
for successful packet reception,/> For signal reception intensity,/>Is the signal to noise ratio; according to/>The link quality parameter in the secondary detection period is used for evaluating the link communication quality;
B. Successful reception rate of data packets using one probing period Signal to noise ratio/>Mean square error/>And signal reception intensity in period/>Mean/>Attribute set as communication link quality assessment; Attribute set/>The attribute values of the various attributes are respectively used/>AndA representation; respectively establishing a data packet receiving rate matrix, a signal-to-noise ratio mean square error matrix and a receiving signal intensity matrix:
（1）
C. Blurring processing is carried out on the attribute values of the communication links;
The number of intervals obtained is expressed as: Wherein/> AndThe method comprises the following steps of:
(2)
(3)
And marking the interval multi-attribute decision matrix after the blurring processing as:
(4)
Simplifying the formula (4) and transposing to obtain:
(5)
D. normalizing the attribute values of different dimensions;
Continuing to normalize the benefit-type attribute of the transmission efficiency and the received signal strength by adopting a formula (6); the fluctuation degree of the link belongs to the cost type attribute and is standardized by adopting a formula (7);
(6)
(7)
The normalized results are expressed as:
(8)
E. Determining each attribute weight by using an entropy method;
The ideal target and worst target of the link transmission efficiency attribute are expressed as:
(9)
(10)
(11)
For entropy method, dissimilarity matrix The construction of (2) is expressed as follows:
(12)
In the formula (12) of the present invention, ；
In calculating the dissimilarity matrix, entropy of all paths with respect to each attribute:
(13)
Calculating the deviation degree of each attribute:
(14)
calculating the weight of each attribute:
(15)
And finally obtaining an attribute weight matrix: ；
F. comprehensive treatment;
calculating a weighted standardized decision matrix:
(16)
Determination of ideal targets And worst target/>：
(17)
(18)
Calculating the dissimilarity distance between each link and the ideal scheme and the worst scheme respectively:
(19)
(20)
Calculating the closeness degree of each link and an ideal scheme:
(21)
The communication quality of each link is quantitatively evaluated by using the magnitude of the proximity value between the link and the ideal scheme.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103581974A (en) * | 2012-12-26 | 2014-02-12 | 华平信息技术股份有限公司 | Link quality assessment method and system |
| CN112423334A (en) * | 2020-11-19 | 2021-02-26 | 江苏恒宝智能系统技术有限公司 | Emergency command communication link testing method and device |
| CN114565268A (en) * | 2022-02-25 | 2022-05-31 | 军事科学院系统工程研究院网络信息研究所 | Situation awareness-based scene self-adaptive cooperative command control system and method |
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| US20220247652A1 (en) * | 2021-01-29 | 2022-08-04 | Marvell Asia Pte Ltd | Link-quality estimation and anomaly detection in high-speed wireline receivers |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103581974A (en) * | 2012-12-26 | 2014-02-12 | 华平信息技术股份有限公司 | Link quality assessment method and system |
| CN112423334A (en) * | 2020-11-19 | 2021-02-26 | 江苏恒宝智能系统技术有限公司 | Emergency command communication link testing method and device |
| CN114565268A (en) * | 2022-02-25 | 2022-05-31 | 军事科学院系统工程研究院网络信息研究所 | Situation awareness-based scene self-adaptive cooperative command control system and method |
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