CN110209993A - A kind of information extraction method and system detecting target - Google Patents

A kind of information extraction method and system detecting target Download PDF

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CN110209993A
CN110209993A CN201910520375.3A CN201910520375A CN110209993A CN 110209993 A CN110209993 A CN 110209993A CN 201910520375 A CN201910520375 A CN 201910520375A CN 110209993 A CN110209993 A CN 110209993A
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information
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CN110209993B (en
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李春霞
葛建军
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CETC Information Science Research Institute
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Abstract

The invention discloses a kind of information extraction method and system for detecting target, which comprises determining that detection target target information and aiming field to be extracted;The descriptive model of the target information is established, the descriptive model is that the relational expression of the detection target is described using the target information in the aiming field;According to the descriptive model, the objective function and constraint condition of information extraction are established;According to the objective function and the constraint condition, the target information is extracted in the aiming field.A kind of information extraction method detecting target provided by the present application, the information of complete, irredundant detection target can be extracted from multiple dimensions, so as to realize under conditions of the information of extraction has non-correlation constraint, the information of the optimization detection target reconstructed, and then guidance can be provided for the design of subsequent detection mission and detection system.

Description

A kind of information extraction method and system detecting target
Technical field
The present invention relates to target acquisition technical field more particularly to a kind of information extraction methods and system for detecting target.
Background technique
In target acquisition technology, detection target usually has various dimensions information, for example, the various dimensions information of target can be with It include: position, speed, size and shape etc..Detection system can detect the discrete message of the information of target by extracting, according to The discrete message of the information of extraction, the information of reconstruct detection target, is realized to detection target detection, positioning, tracking and identification etc..
When extracting to the information of detection target, detection target single dimension information is only extracted, is not enough to be formed preferable Detectivity, so the various dimensions information to detection target is needed to extract, still, in practical extraction process, the dimension of extraction Spend will cause information redundancy more, the excessively few information for being then not enough to accurately reconstruct detection target of the dimension of extraction.Also, mesh Before, the information extraction method only for the information of time domain, and for the information extraction in other domains such as airspace, lack rationally effectively Information extraction method.So how accurately to detection target various dimensions information carry out extract be those skilled in the art urgently Problem to be solved.
Summary of the invention
The present invention provides a kind of information extraction methods and system for detecting target, how to solve accurately to detection target Various dimensions information the problem of being extracted.
In a first aspect, the information extraction method includes: true the present invention provides a kind of information extraction method for detecting target Surely detection target target information and aiming field to be extracted;The descriptive model of the target information is established, the descriptive model is In the aiming field, the relational expression of the detection target is described using the target information;According to the descriptive model, establish The objective function and constraint condition of information extraction;It is right in the aiming field according to the objective function and the constraint condition The target information is extracted.
Further, the process for establishing the descriptive model of the target information, specifically includes: using following relational expressions, establishes The descriptive model of the target information;
Wherein, χ indicates the target information,Indicate the aiming field.
Further, according to the descriptive model, the objective function of information extraction and the process of constraint condition are established, it is specific to wrap It includes: using following relational expressions, establish the objective function;
Wherein, Z={ Z1,Z2,Z3L } indicate the letter obtained after extracting in the aiming field to the target information Breath, Z1,Z2,Z3L is the discrete message for the target information for including in set Z;Indicate reconfiguration information, i.e., according to Z The information of the detection target of reconstruct;Indicate the descriptive model;Indicate described heavy Structure informationWith the descriptive modelBetween mutual information;
Using following relational expressions, the constraint condition is established;
I(Zi,Zj) < D0, i, j=1,2,3, K i ≠ j;
Wherein, ZiAnd ZjIndicate the discrete message for the target information for including in the set Z;I(Zi,Zj) indicate Discrete message ZiWith discrete message ZjBetween mutual information;D0Indicate discrete message ZiWith discrete message ZjBetween mutual information threshold Value.
Further, according to the objective function and the constraint condition, in the aiming field to the target information into The process that row extracts, specifically includes: solving the optimization problem being made of the objective function and the constraint condition, obtains in institute State the information after extracting in aiming field to the target information.
Further, information extraction method further include: the target information is extracted according in the aiming field The information of target is detected described in the signal reconstruct obtained afterwards.
Second aspect, the present invention provides a kind of information extraction systems for detecting target, which includes: true Cover half block, for determining detection target target information and aiming field to be extracted;First establishes module, for establishing the target The descriptive model of information, the descriptive model are to describe the detection target using the target information in the aiming field Relational expression;Second establishes module, for establishing the objective function and constraint condition of information extraction according to the descriptive model; Information extraction module is used for according to the objective function and the constraint condition, to the target information in the aiming field It is extracted.
Further, it described first establishes module and is specifically used for: using following relational expressions, establish the description of the target information Model;
Wherein, χ indicates the target information,Indicate the aiming field.
Further, it described second establishes module and is specifically used for: using following relational expressions, establish the objective function;
Wherein, Z={ Z1,Z2,Z3L } indicate the letter obtained after extracting in the aiming field to the target information Breath, Z1,Z2,Z3L is the discrete message for the target information for including in set Z;Indicate reconfiguration information, i.e., according to Z The information of the detection target of reconstruct;Indicate the descriptive model;Indicate described heavy Structure informationWith the descriptive modelBetween mutual information;
Using following relational expressions, the constraint condition is established;
I(Zi,Zj) < D0, i, j=1,2,3, K i ≠ j;
Wherein, ZiAnd ZjIndicate the discrete message for the target information for including in the set Z;I(Zi,Zj) indicate Discrete message ZiWith discrete message ZjBetween mutual information;D0Indicate discrete message ZiWith discrete message ZjBetween mutual information threshold Value.
Further, the information extraction module is specifically used for: solution is made of the objective function and the constraint condition Optimization problem, obtain the information after extracting in the aiming field to the target information.
Further, the information extraction system further include: signal reconstruct module, for basis to described in the aiming field The information of target is detected described in the signal reconstruct that target information obtains after being extracted.
The technical solution that the embodiment of the present invention provides can include the following benefits: the present invention provides a kind of detections The information extraction method and system of target.In the information extraction method, it is according to the detection mission of detection target and detection first The composition of system determines the target information and aiming field of the detection pending extraction of target, then establishes in the aiming field, uses The descriptive model of target information description detection target, later, according to descriptive model, establish information extraction objective function and Constraint condition;Finally, the optimization problem being made of the objective function of information extraction and constraint condition is solved, in the aiming field The target information is extracted, the discrete message of target information is obtained, to realize to detection target in the target The information extraction of multiple dimensions in domain.It follows that a kind of information extraction method for detecting target provided by the present application, it can be with The information of complete, irredundant detection target is extracted, from multiple dimensions so as to realize that the information in extraction has non-phase Under conditions of the constraint of closing property, the information of the optimization detection target reconstructed, and then can be subsequent detection mission and spy The design of examining system provides guidance.
Detailed description of the invention
In order to illustrate more clearly of technical solution of the present invention, letter will be made to attached drawing needed in the embodiment below Singly introduce, it should be apparent that, for those of ordinary skills, without any creative labor, It is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow diagram of information extraction method for detecting target provided in an embodiment of the present invention;
Fig. 2 is a kind of structural block diagram of information extraction system for detecting target provided in an embodiment of the present invention.
Specific embodiment
In conjunction with background technique it is found that in the prior art, be only directed to the abstracting method of time-domain information, for airspace etc. other The information extraction in domain lacks reasonable effective information extraction method, so, at present for the not same area of being suitable for of detection target Multidimensional information extracts, without more unified suitable solution.In order to solve this problem, the embodiment of the invention provides A kind of information extraction method and system detecting target.A kind of information extraction method detecting target provided by the present application, can be with The information of complete, irredundant detection target is extracted from multiple dimensions, and may be implemented that there is non-phase in the information of extraction Under conditions of the constraint of closing property, the information of the optimization detection target reconstructed, and then can be subsequent detection mission and spy The design of examining system provides guidance.
With reference to the accompanying drawing, a kind of information extraction method for detecting target provided in an embodiment of the present invention is discussed in detail and is System.
Referring to Fig. 1, Fig. 1 is a kind of process signal of information extraction method for detecting target provided in an embodiment of the present invention Figure.In conjunction with Fig. 1 it is found that the information extraction method includes:
Step 101 determines detection target target information and aiming field to be extracted.
When it is implemented, can determine detection target target information to be extracted according to the detection mission of detection target.Example Such as, if detection mission is detection detection target, corresponding target information is the energy for detecting target, utilizes different moments Energy judgement detection target whether there is;If detection mission is tracking detection target, corresponding target information is detection mesh Target position vector tracks detection target using the position vector of different moments;If detection mission is to detection mesh Target positioning or identification etc., then corresponding target information is the information of detection target needed for the detection missions such as positioning or identification, It will not enumerate herein.
Furthermore, it is possible to according to detection target the corresponding detection system of detection mission composition, determine detection target wait for into The aiming field that row information extracts.For example, if detection system is single dress system, it usually needs extract and detect from time domain (time-domain) The information of target, then corresponding aiming field is time domain;If detection system is made of multiple nodes that wide area is distributed, it usually needs The information of detection target is extracted from airspace (spatial domain), then corresponding aiming field is airspace;If electromagnetism needed for detection system Signal is made of multiple frequencies, it usually needs the information of detection target is extracted from frequency domain (frequency domain), then corresponding aiming field is Frequency domain;In addition, if detection system needs to extract the information of detection target from time domain and airspace joint, then corresponding aiming field is Time domain-airspace composition joint domain;And so on, if detection system is other types of system, can be according to detection The demand of system determines aiming field, and details are not described herein again.
Step 102 establishes the descriptive model for detecting the target information of target.
Wherein, the descriptive model is to describe the detection target using the target information in the aiming field Relational expression.
When it is implemented, following relational expressions (1) can be used, the descriptive model of the target information is established:
In relational expression (1), χ indicates the target information,Indicate the aiming field.Relational expression (1) is descriptive model General expression can be according to corresponding target information for the current detection mission of any one specific detection target And aiming field, it establishes in the aiming field, the relational expression of detection target is described using the target information, using the relational expression as this Detect the descriptive model of the corresponding target information of current detection mission of target.
Step 103, according to the descriptive model, establish the objective function and constraint condition of information extraction.
When it is implemented, following relational expressions (2) can be used, the objective function of information extraction is established:
In relational expression (2), Z={ Z1,Z2,Z3L } it indicates to obtain after extracting the target information in the aiming field The information arrived, Z1,Z2,Z3L is the discrete message for the target information for including in set Z, that is to say, that uses the application The information extraction method of offer, finally extracting information of the obtained detection target in the aiming field is by multiple discrete messages Z1,Z2,Z3The set Z that L is constituted, if aiming field is time domain, Z is the information that different moments sampling obtains, if aiming field is Airspace, then Z indicates the information that the different perspectives down-sampling in airspace obtains, if aiming field is frequency domain, Z is indicated using different The information that frequency sampling obtains, and so on, if aiming field is other domains, Z indicates to extract target information in other domains The information obtained afterwards, will not enumerate herein;It indicates to be attached most importance to according to the information of the Z detection target reconstructed, definition Structure information;Indicate the descriptive model;Indicate the reconfiguration informationWith it is described Descriptive modelBetween mutual information, the numerical value of the mutual information is bigger, indicateIn containLetter Breath is more, available to arrive by the maximization of the mutual information numerical valueCorresponding best reconfiguration information
It should be noted that relational expression (2) is similarly the general expression of the objective function of information extraction, it can be according to tool Relational expression (2) is set corresponding concrete form by the detection target and detection mission of body and the composition of detection system.
According to the theory of information theory it is found that the mutual information between two variables is smaller, show the phase between the two variables Guan Xingyue is few, is based on this, following relational expressions (3) can be used, establish the constraint condition of information extraction:
I(Zi,Zj) < D0, i, j=1,2,3, K i ≠ j (3)
In relational expression (3), ZiAnd ZjIndicate the discrete message for the target information for including in the set Z;I(Zi, Zj) indicate discrete message ZiWith discrete message ZjBetween mutual information;D0Indicate discrete message ZiWith discrete message ZjBetween it is mutual The threshold value of information.
Explanation is also needed, relational expression (3) is the general expression of the constraint condition of information extraction, can be according to tool Relational expression (3) are carried out corresponding specific setting by the detection target and detection mission of body and the composition of detection system.
Step 104, according to the objective function and the constraint condition, in the aiming field to the target information into Row extracts.
It establishes after objective function and the constraint condition of information extraction, solves by the objective function and the constraint condition The optimization problem of composition can obtain the information after extracting in the aiming field to the target information.
Specifically, optimization algorithm can be used, such as particle filter algorithm or genetic algorithm etc., solve by the target letter The optimization problem that the several and constraint condition is constituted, the result of optimization algorithm output are in the aiming field to the target The information that information obtains after being extracted.
Further, in some alternative embodiments, which can also include: according in the aiming field In the target information is extracted after the information of target is detected described in obtained signal reconstruct.According in the aiming field After the information for detecting target described in the signal reconstruct obtained after extracting to the target information, the information in extraction is realized Between there is non-correlation constraint in the case where, information of the optimal reconfiguration detection target in the aiming field, thus The information of irredundant optimization detection target is obtained.
It is provided by the present application it is a kind of detect target information extraction method in, first according to detection target detection mission and The composition of detection system determines the target information and aiming field of the detection pending extraction of target, then establishes in the aiming field In, according to descriptive model, the mesh of information extraction is established later using the descriptive model that the target information describes detection target Scalar functions and constraint condition;Finally, the optimization problem being made of the objective function of information extraction and constraint condition is solved, described The target information is extracted in aiming field, to realize multiple dimensions to detection target in the aiming field Information extraction.It follows that a kind of information extraction method for detecting target provided by the present application, can extract from multiple dimensions The information of complete, irredundant detection target, so as to realize under conditions of the information of extraction has non-correlation constraint, The information of the optimization detection target reconstructed, and then finger can be provided for the design of subsequent detection mission and detection system It leads.
Corresponding with a kind of above-mentioned detection information extraction method of target, the embodiment of the invention also discloses a kind of detection mesh Target information extraction system.
Referring to fig. 2, Fig. 2 is a kind of structural block diagram of information extraction system for detecting target provided in an embodiment of the present invention. In conjunction with Fig. 2 it is found that the information extraction system 200 includes:
Determining module 201, for determining detection target target information and aiming field to be extracted;First establishes module 202, For establishing the descriptive model of the target information, the descriptive model is to use the target information in the aiming field The relational expression of the detection target is described;Second establishes module 203, for establishing information extraction according to the descriptive model Objective function and constraint condition;Information extraction module 204 is used for according to the objective function and the constraint condition, described The target information is extracted in aiming field.
Further, it described first establishes module 202 and is specifically used for: using following relational expressions, establish the target information Descriptive model;
Wherein, χ indicates the target information,Indicate the aiming field.
Further, it described second establishes module 203 and is specifically used for: using following relational expressions, establish the objective function;
Wherein, Z={ Z1,Z2,Z3L } indicate the letter obtained after extracting in the aiming field to the target information Breath, Z1,Z2,Z3L is the discrete message for the target information for including in set Z;Indicate reconfiguration information, i.e., according to Z The information of the detection target of reconstruct;Indicate the descriptive model;Indicate described heavy Structure informationWith the descriptive modelBetween mutual information;
Using following relational expressions, the constraint condition is established;
I(Zi,Zj) < D0, i, j=1,2,3, K i ≠ j;
Wherein, ZiAnd ZjIndicate the discrete message for the target information for including in the set Z;I(Zi,Zj) indicate Discrete message ZiWith discrete message ZjBetween mutual information;D0Indicate discrete message ZiWith discrete message ZjBetween mutual information threshold Value.
Further, the information extraction module 204 is specifically used for: solving by the objective function and the constraint condition structure At optimization problem, obtain the information after extracting in the aiming field to the target information.
Further, which can also include: signal reconstruct module, for according in the aiming field In the target information is extracted after the information of target is detected described in obtained signal reconstruct.
Using a kind of information extraction system for detecting target provided in an embodiment of the present invention, it is possible to implement a kind of above-mentioned detection Each step in the information extraction method of target, and obtain identical beneficial effect.A kind of detection provided in an embodiment of the present invention The information extraction system of target determines that detection target waits for first according to the composition of the detection mission of detection target and detection system The target information and aiming field extracted, is then established in the aiming field, describes detection mesh using the target information Target descriptive model according to descriptive model, establishes the objective function and constraint condition of information extraction later;Finally, solving by believing The optimization problem for ceasing the objective function extracted and constraint condition composition, takes out the target information in the aiming field It takes, to realize the information extraction of multiple dimensions to detection target.It follows that a kind of detection target provided by the present application Information extraction system, the information of complete, irredundant detection target can be extracted, from multiple dimensions so as to realize Under conditions of the information of extraction has non-correlation constraint, the information of the optimization detection target reconstructed, and then can be The design of subsequent detection mission and detection system provides guidance, and applicability is more preferable.
In the specific implementation, the application also provides a kind of computer storage medium, wherein the computer storage medium can store There is program, described program includes instruction, which may include a kind of information extraction for detecting target provided by the present application when executing Step some or all of in each embodiment of method.The storage medium can be magnetic disk, CD, read-only memory (read-only memory, ROM) or random access memory (random access memory, RAM) etc..
It is required that those skilled in the art can be understood that the technology in the embodiment of the present application can add by software The mode of general hardware platform realize.Based on this understanding, the technical solution in the embodiment of the present application substantially or Say that the part that contributes to existing technology can be embodied in the form of software products, which can deposit Storage is in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that computer equipment (can be with It is personal computer, server or wireless telecom equipment etc.) execute certain portions of each embodiment of the application or embodiment Method described in point.
Same and similar part may refer to each other between each embodiment in this specification.Especially for a kind of detection For the embodiment of the information extraction system of target, since it is substantially similar to the method embodiment, so be described relatively simple, Related place is referring to the explanation in embodiment of the method.
In addition, unless otherwise indicated, " multiple " refer to two or more in the description of the present application.In addition, in order to Convenient for clearly describing the technical solution of the embodiment of the present application, in embodiments herein, the words such as " first ", " second " are used Sample distinguishes function and the essentially identical identical entry of effect or similar item.It will be appreciated by those skilled in the art that " first ", Printed words such as " second " are not defined quantity and execution order, and the printed words such as " first ", " second " also do not limit one Fixed difference.
Above-described the application embodiment does not constitute the restriction to the application protection scope.

Claims (10)

1. a kind of information extraction method for detecting target characterized by comprising
Determine detection target target information and aiming field to be extracted;
The descriptive model of the target information is established, the descriptive model is to use the target information in the aiming field The relational expression of the detection target is described;
According to the descriptive model, the objective function and constraint condition of information extraction are established;
According to the objective function and the constraint condition, the target information is extracted in the aiming field.
2. information extraction method according to claim 1, which is characterized in that establish the descriptive model of the target information Process specifically includes:
Using following relational expressions, the descriptive model of the target information is established;
Wherein, χ indicates the target information,Indicate the aiming field.
3. information extraction method according to claim 2, which is characterized in that according to the descriptive model, establish information pumping The process of the objective function and constraint condition that take, specifically includes:
Using following relational expressions, the objective function is established;
Wherein, Z={ Z1,Z2,Z3L } indicate the information obtained after extracting in the aiming field to the target information, Z1, Z2,Z3L is the discrete message for the target information for including in set Z;Indicate reconfiguration information, i.e., according to Z reconstruct The information of the detection target;Indicate the descriptive model;Indicate the reconfiguration informationWith the descriptive modelBetween mutual information;
Using following relational expressions, the constraint condition is established;
I(Zi,Zj) < D0, i, j=1,2,3, K i ≠ j;
Wherein, ZiAnd ZjIndicate the discrete message for the target information for including in the set Z;I(Zi,Zj) indicate discrete letter Cease ZiWith discrete message ZjBetween mutual information;D0Indicate discrete message ZiWith discrete message ZjBetween mutual information threshold value.
4. information extraction method according to claim 1, which is characterized in that according to the objective function and the constraint item Part, the process extracted in the aiming field to the target information, specifically includes:
The optimization problem being made of the objective function and the constraint condition is solved, is obtained in the aiming field to the mesh Mark the information after information is extracted.
5. information extraction method according to claim 1, which is characterized in that the information extraction method further include: according to The information of target is detected described in the signal reconstruct obtained after extracting in the aiming field to the target information.
6. a kind of information extraction system for detecting target characterized by comprising
Determining module, for determining detection target target information and aiming field to be extracted;
First establishes module, for establishing the descriptive model of the target information, the descriptive model be in the aiming field, The relational expression of the detection target is described using the target information;
Second establishes module, for establishing the objective function and constraint condition of information extraction according to the descriptive model;
Information extraction module is used for according to the objective function and the constraint condition, to the target in the aiming field Information is extracted.
7. information extraction system according to claim 6, which is characterized in that described first, which establishes module, is specifically used for:
Using following relational expressions, the descriptive model of the target information is established;
Wherein, χ indicates the target information,Indicate the aiming field.
8. information extraction system according to claim 7, which is characterized in that described second, which establishes module, is specifically used for:
Using following relational expressions, the objective function is established;
Wherein, Z={ Z1,Z2,Z3L } indicate the information obtained after extracting in the aiming field to the target information, Z1, Z2,Z3L is the discrete message for the target information for including in set Z;Indicate reconfiguration information, i.e., according to Z reconstruct The information of the detection target;Indicate the descriptive model;Indicate the reconfiguration informationWith the descriptive modelBetween mutual information;
Using following relational expressions, the constraint condition is established;
I(Zi,Zj) < D0, i, j=1,2,3, K i ≠ j;
Wherein, ZiAnd ZjIndicate the discrete message for the target information for including in the set Z;I(Zi,Zj) indicate discrete letter Cease ZiWith discrete message ZjBetween mutual information;D0Indicate discrete message ZiWith discrete message ZjBetween mutual information threshold value.
9. information extraction system according to claim 6, which is characterized in that the information extraction module is specifically used for:
The optimization problem being made of the objective function and the constraint condition is solved, is obtained in the aiming field to the mesh Mark the information after information is extracted.
10. information extraction system according to claim 6, which is characterized in that the information extraction system further include: information weight Structure module, for detecting mesh according to the signal reconstruct obtained after extracting in the aiming field to the target information Target information.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112819622A (en) * 2021-01-26 2021-05-18 深圳价值在线信息科技股份有限公司 Information entity relationship joint extraction method and device and terminal equipment

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101751385A (en) * 2008-12-19 2010-06-23 华建机器翻译有限公司 Multilingual information extraction method adopting hierarchical pipeline filter system structure
CN105137498A (en) * 2015-09-17 2015-12-09 鲁东大学 Underground target detection and recognition system and method based on feature fusion
CN105550636A (en) * 2015-12-04 2016-05-04 中国电子科技集团公司第三研究所 Method and device for identifying target types
CN107728124A (en) * 2017-09-08 2018-02-23 中国电子科技集团公司信息科学研究院 A kind of more radar dynamic regulating methods and device based on comentropy
US20180248592A1 (en) * 2016-07-21 2018-08-30 Nxgen Partners Ip, Llc System and method for reducing pilot signal contamination using orthogonal pilot signals
CN108764141A (en) * 2018-05-25 2018-11-06 广州虎牙信息科技有限公司 A kind of scene of game describes method, apparatus, equipment and its storage medium
CN109118064A (en) * 2018-07-25 2019-01-01 中国电子科技集团公司第二十八研究所 A kind of optimal resource allocation method for detection mission planning
CN109307862A (en) * 2018-07-05 2019-02-05 西安电子科技大学 A kind of target radiation source individual discrimination method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101751385A (en) * 2008-12-19 2010-06-23 华建机器翻译有限公司 Multilingual information extraction method adopting hierarchical pipeline filter system structure
CN105137498A (en) * 2015-09-17 2015-12-09 鲁东大学 Underground target detection and recognition system and method based on feature fusion
CN105550636A (en) * 2015-12-04 2016-05-04 中国电子科技集团公司第三研究所 Method and device for identifying target types
US20180248592A1 (en) * 2016-07-21 2018-08-30 Nxgen Partners Ip, Llc System and method for reducing pilot signal contamination using orthogonal pilot signals
CN107728124A (en) * 2017-09-08 2018-02-23 中国电子科技集团公司信息科学研究院 A kind of more radar dynamic regulating methods and device based on comentropy
CN108764141A (en) * 2018-05-25 2018-11-06 广州虎牙信息科技有限公司 A kind of scene of game describes method, apparatus, equipment and its storage medium
CN109307862A (en) * 2018-07-05 2019-02-05 西安电子科技大学 A kind of target radiation source individual discrimination method
CN109118064A (en) * 2018-07-25 2019-01-01 中国电子科技集团公司第二十八研究所 A kind of optimal resource allocation method for detection mission planning

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
张春菊: "中文文本中事件时空与属性信息解析方法研究", 《中国博士学位论文全文数据库 基础科学辑》 *
杨文芳: "基于信息论的雷达波形设计研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
葛建军 等: "探测体系能力生成理论及方法", 《雷达科学与技术》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112819622A (en) * 2021-01-26 2021-05-18 深圳价值在线信息科技股份有限公司 Information entity relationship joint extraction method and device and terminal equipment
CN112819622B (en) * 2021-01-26 2023-10-17 深圳价值在线信息科技股份有限公司 Information entity relationship joint extraction method and device and terminal equipment

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