CN109100691B - Anti-interference data source using method and system - Google Patents
Anti-interference data source using method and system Download PDFInfo
- Publication number
- CN109100691B CN109100691B CN201810950620.XA CN201810950620A CN109100691B CN 109100691 B CN109100691 B CN 109100691B CN 201810950620 A CN201810950620 A CN 201810950620A CN 109100691 B CN109100691 B CN 109100691B
- Authority
- CN
- China
- Prior art keywords
- data source
- data
- effective
- target information
- invalid
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/36—Means for anti-jamming, e.g. ECCM, i.e. electronic counter-counter measures
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Information Transfer Between Computers (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention provides an anti-interference data source using method and system, which can be applied to target information calculation of a system with multi-source data under an interfered condition and provide available target information for real-time aircraft emission. The method comprises three parts of data source validity judgment, real-time valid data switching and data extrapolation under invalid conditions, other models with multi-source data can directly use the method, the method is good in universality, development expenditure and human resource cost can be effectively saved, and the requirement of different land-based platforms on aircraft parameter calculation under the condition of interference can be met.
Description
Technical Field
The invention relates to the field of fire control systems, in particular to a method and a system for using an anti-interference data source.
Background
The electronic warfare mainly comprises electronic investigation, electronic countermeasure and electronic defense, along with the development of the modern electronic countermeasure technology, a single sensor is extremely easily influenced by the electronic interference of the other party when the object is investigated, and meanwhile, if the information from a plurality of information channels is not uniformly collected, the various information and characteristics of the specific object by each sensor can lead a combat commander to face the problem of data explosion. Therefore, a certain degree of data fusion of the data of each sensor is an urgent problem in modern electronic warfare systems.
The electronic warfare system needs to receive, sort, process, identify and alarm omni-directionally to enemy radar or communication signals through electronic support measures, and meanwhile, needs to complete threat alarm to enemy attacks through enemy target behaviors, enemy force deployment and the like obtained through own sensors and perform corresponding electronic anti-interference. The task is to protect the normal performance of the electronic equipment (system) of the other party as far as possible while weakening and destroying the electronic equipment (system) of the other party. To accomplish this task, the accuracy of the intelligence information and its integrity is important. Therefore, in the face of various and incomplete reports obtained by different platforms, how to perform effective data fusion processing is the modern electronic warfare system, the accuracy of the information is improved to the maximum extent, and meanwhile, the reduction of the information redundancy is more important, but the appearance and the development of a multi-sensor data fusion technology lay a foundation for the electronic warfare multi-source fusion system.
Compared with a single sensor, in a modern multi-sensor system, if several similar sensors are used, the measurement results are combined, and a more accurate target tracking result can be obtained. Also, tracking can be improved by using the relative positions of multiple sensors, for example, a single Electronic Support Means (ESM) cannot achieve the positioning of the target distance, but a two-station ESM can achieve the estimation of the target distance through a certain geometrical relationship. In addition, the multi-sensor system widens the physical observation means of our part, for example, when the local target is disguised, the disguised target cannot be well recognized through a single optical photograph, but if a Synthetic Aperture Radar (SAR) or an infrared imaging device is considered to be deployed on the reconnaissance machine at the same time, the recognition of the disguised target is greatly improved due to the influence of the radar reflection sectional area of the target and the external radiation heat source of the target. Most importantly, the multi-sensor system greatly improves the anti-interference capability of the radar of the other party, when the other party uses electromagnetic interference in the radar countermeasure process, the detection or tracking result of the radar of the other party on a target is greatly influenced, but if the radar is matched with passive monitoring equipment such as an infrared sensor, the electronic countermeasure effect of the other party is greatly reduced.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a method and a system for using an anti-interference data source.
The invention provides a data source use method aiming at interference resistance, which comprises the following steps:
a data source receiving step: receiving data source information;
a data source validity judging step: judging the validity of the data source;
a data source processing step: and further processing the judged data source.
Preferably, the data source validity judging step includes:
judging whether data source target information is received within set time;
if the judgment result is yes, judging whether the target information of the data source has a loss mark; if the judgment result is negative, the data source is considered invalid;
if the target information of the data source has the loss mark, the data source is considered invalid; and if the target information of the data source does not have the loss mark, the data source is considered to be effective.
Preferably, the data source processing step includes:
and (3) effective processing of a data source: when the data source is judged to be effective, the data source is subjected to priority sequencing and an optimal data source is selected;
data source invalidation processing step: and when the data source is judged to be invalid, carrying out extrapolation processing on the data source.
Preferably, the data source invalidation processing step further includes an invalid data source selecting step of:
and when all the data sources are invalid, selecting the set data source for extrapolation.
Preferably, the data source processing step further includes an effective data source information filtering step of: and when the data source is judged to be effective, filtering and storing target information of the effective data source for real-time switching of the data source.
The invention provides an anti-interference data source using system, which comprises the following modules:
the data source receiving module: for receiving data source information;
the data source validity judging module: the data source validity judgment is carried out;
the data source processing module: for further processing the judged data source.
Preferably, the data source validity judging module includes:
the system is used for judging whether data source target information is received within set time;
if the judgment result is yes, judging whether the target information of the data source has a loss mark; if the judgment result is negative, the data source is considered invalid;
if the target information of the data source has the loss mark, the data source is considered invalid; and if the target information of the data source does not have the loss mark, the data source is considered to be effective.
Preferably, the data source processing module includes:
the data source effective processing module: when the data source is judged to be effective, the data source priority ordering method is used for carrying out priority ordering on the data source and selecting the optimal data source;
a data source invalidation processing module: and when the data source is judged to be invalid, the method is used for carrying out extrapolation processing on the data source.
Preferably, the data source invalidation processing module further comprises an invalid data source selection module:
and when all the data sources are invalid, selecting the set data source for extrapolation.
Preferably, the data source processing module further comprises an effective data source information filtering module: and when the data source is judged to be effective, filtering and storing target information of the effective data source, and switching the data source in real time.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention aims to solve the technical problem of how to ensure the track continuity in the interference environment under the condition that a fire control system is simultaneously accessed with multi-channel information.
2. The switching mechanism of the invention can ensure the priority selection of the comprehensive data from a high-level data source to a low-level data source in each main processing period, and ensure that the whole data link can be switched back after the condition of the temporary fault of a certain data source occurs and recovers.
3. The method is simple and effective, has good universality, and can effectively save development expenditure and human resource cost.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a flow chart of steps of a method of use for a data source that is tamper resistant;
FIG. 2 is a system block diagram of a system for using a system for a data source that is tamper resistant.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
According to the anti-interference data source using method and the anti-interference data source using system, the using method comprises the following data source receiving steps: receiving data source information; a data source validity judging step: judging the validity of the data source; a data source processing step: further processing the judged data source; the using system comprises a data source receiving module: for receiving data source information; the data source validity judging module: the data source validity judgment is carried out; the data source processing module: for further processing the judged data source.
According to the preferred embodiment of the present invention, the information source mainly comprises: the target information sent by the vehicle C, the target information sent by the vehicle A and the target information sent by the vehicle B.
For each information source, there is an independent validity judgment logic, which is as follows:
a) c vehicle data source validity judgment
And the central machine receives the target indication message sent by the vehicle C, extrapolates the target indication data at a fixed x frequency by using the target speed in the message until the next beat of the target indication data arrives. If the target indication message is not received in the central machine T1s, the target is judged to be lost, and the data source is invalid.
When the target tracking state in the target indication message is track extrapolation, the target tracking is processed at the same time; and if the target tracking state in the target indication message is 'track loss', judging that the data source is invalid.
If the target finger is not lost, judging whether the timestamp of the latest extrapolated data is larger than the latest timestamp output by filtering, and if so, judging that the current data source is valid; if not, judging that the current data source is invalid.
b) Data source validity judgment of vehicle B
The central machine receives a 'B vehicle target information message' (xHz with a target speed) sent by a B vehicle, if the 'B vehicle target information message' does not arrive according to normal time, the central machine extrapolates target data at xHz frequency by using the target speed in the message, and if the central machine T2s does not receive the B vehicle target information message, the data source is judged to be lost and invalid.
The target tracking state in the vehicle B target information message is track extrapolation and is processed with target tracking; and if the target tracking state in the vehicle B target information message is 'track loss', judging that the data source is invalid.
If the data source of the vehicle B is not lost, judging whether the timestamp of the latest vehicle B data is larger than the latest timestamp output by the filter, if so, judging that the current data source is valid; if not, judging that the current data source is invalid.
c) Vehicle A data source validity judgment
If the central machine does not receive the target data tracked by the vehicle A in two continuous periods, a data extrapolation flag bit is given, a filter is called twice, and the filter performs extrapolation data processing. If the target data tracked by the vehicle A is not received continuously, the data extrapolation flag bit is given all the time, a filter is called and is used for carrying out extrapolation data processing, and when the target data tracked by the vehicle A is not received in the central unit T2s, the data source is judged to be lost and invalid;
when the target tracking state in the vehicle A target information message is track extrapolation, the vehicle A target information message is processed with target tracking; and if the target tracking state in the vehicle A target information message is 'track loss', judging that the data source is invalid.
If the data source of the vehicle A is not lost, judging whether the timestamp of the latest vehicle data of the vehicle A is larger than the latest timestamp output by the filter, if so, judging that the current data source is valid; if not, judging that the current data source is invalid.
The central machine respectively judges the effectiveness of three data sources of the vehicle A, the vehicle B and the vehicle C (in a main line flow of a fixed period), and if two or more data sources are effective, the data sources of the current input filter are selected according to the priority order from high accuracy to low accuracy. If a data source switch occurs, the filtering module is not executed even if valid data arrives in T3 s.
And if all the data sources are invalid, selecting the data source selected in the last processing period as the current data source or selecting pre-specified data. And meanwhile, the central machine always gives out a data extrapolation flag bit, and a filter is called to perform extrapolation data processing.
The invention filters the target information of each data source independently, and the filtering result can be stored in the respective database of each data source, thereby ensuring the continuity of the target data when the data sources are switched in real time.
The method can be applied to multi-information-source data calculation under the complex electromagnetic interference environment, provides available target information for real-time aircraft emission, and has a good reference meaning for the development of new models; for the filtering of multiple data sources, an independent processing mechanism is adopted, and the fact that the overall information processing of the whole system cannot be influenced when a certain data source is interfered and cannot be used is guaranteed. The switching mechanism of the invention can ensure the priority selection of the comprehensive data from a high-level data source to a low-level data source in each main processing period, and ensure that the whole data link can be switched back after the condition of the temporary fault of a certain data source occurs and recovers.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (2)
1. A method for using a data source for interference resistance, comprising: the method comprises the following steps:
a data source receiving step: receiving data source information;
a data source validity judging step: judging the validity of the data source;
a data source processing step: further processing the judged data source;
the data source validity judging step comprises the following steps:
judging whether data source target information is received within set time;
if the judgment result is yes, judging whether the target information of the data source has a loss mark; if the judgment result is negative, the data source is considered invalid;
if the target information of the data source has the loss mark, the data source is considered invalid; if the target information of the data source does not have the loss mark, the data source is considered to be effective;
the data source processing step includes:
and (3) effective processing of a data source: when the data source is judged to be effective, the data source is subjected to priority sequencing and an optimal data source is selected;
data source invalidation processing step: when the data source is judged to be invalid, carrying out extrapolation processing on the data source;
the data source processing step further comprises an effective data source information filtering step: when the data source is judged to be effective, filtering and storing target information of the effective data source for real-time switching of the data source;
the data source invalidation processing step further includes an invalid data source selecting step of:
and when all the data sources are invalid, selecting the set data source for extrapolation.
2. A system for use with a data source that is resistant to interference, comprising: the system comprises the following modules:
the data source receiving module: for receiving data source information;
the data source validity judging module: the data source validity judgment is carried out;
the data source processing module: the data source is used for further processing the judged data source;
the data source validity judging module comprises:
the system is used for judging whether data source target information is received within set time;
if the judgment result is yes, judging whether the target information of the data source has a loss mark; if the judgment result is negative, the data source is considered invalid;
if the target information of the data source has the loss mark, the data source is considered invalid; if the target information of the data source does not have the loss mark, the data source is considered to be effective;
the data source processing module comprises:
the data source effective processing module: when the data source is judged to be effective, the data source priority ordering method is used for carrying out priority ordering on the data source and selecting the optimal data source;
a data source invalidation processing module: when the data source is judged to be invalid, the method is used for carrying out extrapolation processing on the data source;
the data source processing module further comprises an effective data source information filtering module: when the data source is judged to be effective, the data source is used for filtering and storing target information of the effective data source and is used for switching the data source in real time;
the data source invalidation processing module further comprises an invalid data source selection module:
and when all the data sources are invalid, selecting the set data source for extrapolation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810950620.XA CN109100691B (en) | 2018-08-20 | 2018-08-20 | Anti-interference data source using method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810950620.XA CN109100691B (en) | 2018-08-20 | 2018-08-20 | Anti-interference data source using method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109100691A CN109100691A (en) | 2018-12-28 |
| CN109100691B true CN109100691B (en) | 2021-03-23 |
Family
ID=64850342
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810950620.XA Active CN109100691B (en) | 2018-08-20 | 2018-08-20 | Anti-interference data source using method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109100691B (en) |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102868718A (en) * | 2011-07-07 | 2013-01-09 | 香港中文大学 | Method for dynamic multi-information-source integration in marine environment |
| CN103559379A (en) * | 2013-09-24 | 2014-02-05 | 许继集团有限公司 | Data source validity judging method and double-data-source selecting method |
| CN104808197B (en) * | 2015-05-06 | 2017-04-05 | 四川九洲空管科技有限责任公司 | A kind of many monitoring source airbound target Parallel Tracking processing methods |
| US9743253B2 (en) * | 2015-08-27 | 2017-08-22 | Glopos Fzc | Method and arrangement for locating a mobile device |
| CN107452207B (en) * | 2016-06-01 | 2020-04-10 | 高德软件有限公司 | Floating car data source evaluation method, device and system |
-
2018
- 2018-08-20 CN CN201810950620.XA patent/CN109100691B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN109100691A (en) | 2018-12-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112068111A (en) | Unmanned aerial vehicle target detection method based on multi-sensor information fusion | |
| CN110968941A (en) | Unmanned aerial vehicle control platform and control method based on airspace safety assessment | |
| CN108566536A (en) | Collection apparatus analysis system based on wearable device | |
| US5341435A (en) | System for detection and recognition of an object by video imaging means | |
| CN108037545A (en) | A kind of directional type optical interference system for unmanned plane | |
| CN106774422A (en) | A kind of unmanned plane recognition methods and system | |
| US5461571A (en) | Complementary thread display method and apparatus | |
| CN105676170A (en) | False point removal method for multi-target passive location and tracking | |
| CN110533921A (en) | The triggering grasp shoot method and system of vehicle | |
| CN109100691B (en) | Anti-interference data source using method and system | |
| KR102479959B1 (en) | Artificial intelligence based integrated alert method and object monitoring device | |
| WO2023007479A1 (en) | Technique for detecting cyber attacks on radars | |
| CN202512237U (en) | Infrared maneuvering target tracking system | |
| KR102386776B1 (en) | Apparatus and method for analyzing gnss jamming based on ai using unmanned aerial vehicle | |
| Raichur et al. | Machine Learning-assisted GNSS Interference Monitoring through Crowdsourcing | |
| WO2021161502A1 (en) | Learning device, learning method, recording medium, and radar device | |
| CN105116908A (en) | Communication method for unmanned aerial vehicle visual formation coordination | |
| Bavu et al. | Deeplomatics: A deep-learning based multimodal approach for aerial drone detection and localization | |
| CN114326795A (en) | Aircraft active evasion method based on star network information | |
| Popescu | The existing technologies on anti-drone systems | |
| JPH09318726A (en) | Tracking device | |
| Mahmoud et al. | Radar parameter generation to identify the target | |
| Giompapa et al. | Maritime border control computer simulation | |
| Liu et al. | Investigation of Effectiveness of Anti-UAV Active Defense System in Essential Electricity Infrastructures | |
| Shahbazian | Multisensor data fusion implementation within a distributed command and control system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |