Track correlation method, apparatus and equipment based on multiple radiation sources

Abstract

The present disclosure provides a multi-radiation-source-based track association method, device and equipment, which can be applied to the technical field of target tracking. The method comprises: obtaining single-signal track information, wherein the single-signal track information represents information sent by a single radiation source; deploying multiple radiation sources on a target, wherein the target comprises multiple targets; performing target identification based on the single-signal track information to obtain a target identification result, wherein the target identification result comprises an identified target or an unidentified target; and performing target association on identified track information and unidentified track information to obtain an association result, wherein the identified track information represents single-signal track information corresponding to the identified target, and the unidentified track information represents single-signal track information corresponding to the unidentified target.

Description

Technical Field

[0001] This disclosure relates to the field of target tracking technology, and more specifically to a method, apparatus and device for track association based on multiple radiation sources. Background Technology

[0002] The demand for real-time monitoring and tracking of maritime targets is constantly increasing. Passive detection systems, because they do not require active electromagnetic wave radiation, naturally possess characteristics such as high concealment, strong anti-interference ability, and long operating range. As an important component of passive detection systems, spaceborne passive detection has advantages such as large detection range, abundant information acquisition, and immunity to weather conditions, and has become an important means of long-range target perception.

[0003] In the process of realizing this disclosure, the inventors discovered that in the related technologies, the electromagnetic parameters of the radiation source obtained by spaceborne passive detection are not fully utilized, and the target correlation tracking of current spaceborne passive detection mainly processes the identified targets. Since there are still a large number of unidentified targets, the track fragments exist and the continuity is poor, making it difficult to achieve accurate monitoring and tracking of maritime targets. Summary of the Invention

[0004] In view of the above problems, this disclosure provides a method, apparatus and equipment for track correlation based on multiple radiation sources.

[0005] According to a first aspect of this disclosure, a method for trajectory association based on multiple radiation sources is provided, comprising: acquiring single-signal trajectory information, wherein the single-signal trajectory information represents information transmitted by a single radiation source, and multiple radiation sources are deployed on a target, the target including multiple targets; identifying the target based on the single-signal trajectory information to obtain a target identification result, wherein the target identification result includes identified targets or unidentified targets; and associating the identified trajectory information and the unidentified trajectory information with the target to obtain an association result, wherein the identified trajectory information represents single-signal trajectory information corresponding to the identified target, and the unidentified trajectory information represents single-signal trajectory information corresponding to the unidentified target.

[0006] According to embodiments of this disclosure, target association is performed on identified and unidentified track information to obtain association results, including: associating identified track information with identified and unidentified targets respectively to obtain a first association result for identified track information, wherein the first association result for identified track information includes successful association between identified and identified targets, successful association between identified and unidentified targets, or unsuccessful association between identified and unidentified targets and identified targets; and associating unidentified track information with identified and unidentified targets respectively to obtain a second association result for unidentified track information, wherein the second association result for unidentified track information includes successful association between unidentified and identified targets, successful association between unidentified and unidentified targets, or unsuccessful association between unidentified and unidentified targets and identified targets.

[0007] According to embodiments of this disclosure, the identified track information is associated with identified targets and unidentified targets respectively to obtain a first association result of the identified track information, including: when the identified track information belongs to a preset identified target, associating the identified track information with the preset identified target to obtain a first intermediate association result of the identified track information, wherein the first intermediate association result indicates that the identified track information is successfully associated with the preset identified target; when the identified track information does not belong to the preset identified target, associating the identified track information with unidentified targets to obtain a second intermediate association result of the identified track information, wherein the second intermediate association result includes either the identified track information is successfully associated with the unidentified target or the identified track information fails to be associated with both the unidentified target and the identified target.

[0008] According to embodiments of this disclosure, unidentified track information is associated with identified targets and unidentified targets respectively to obtain a second association result of the unidentified track information, including: associating the unidentified track information with identified targets to obtain a third intermediate association result of the unidentified track information, wherein the third intermediate association result indicates that the unidentified track information is successfully associated with the identified targets; associating the unidentified track information with unidentified targets to obtain a fourth intermediate association result of the unidentified track information, wherein the fourth intermediate association result includes either the unidentified track information being successfully associated with the unidentified targets or the unidentified track information failing to be associated with both the unidentified targets and the identified targets.

[0009] According to embodiments of this disclosure, the above-mentioned multi-radiation source-based trajectory association method further includes: obtaining a comprehensive correlation degree based on single-signal trajectory information and identified trajectory information; and determining the association result based on the comprehensive correlation degree, preset identity attribute rules, and preset association relationship rules.

[0010] According to embodiments of this disclosure, determining the association result based on comprehensive correlation, preset identity attribute rules, and preset assignment relationship rules includes: determining an intermediate association result based on at least one of the preset identity attribute rules and preset assignment relationship rules, according to single signal track information and identified track information; and determining the association result based on comprehensive correlation and preset correlation when the intermediate association result indicates that the intermediate association result is uncertain.

[0011] According to embodiments of this disclosure, both the single-signal track information and the identified track information include spatiotemporal position information and electromagnetic parameter information. A comprehensive correlation degree is obtained based on the single-signal track information and the identified track information, including: calculating the correlation degree between the spatiotemporal position information in the single-signal track information and the spatiotemporal position information in the identified track information to obtain a first correlation degree related to the spatiotemporal position information; calculating the correlation degree between the electromagnetic parameter information in the single-signal track information and the electromagnetic parameter information in the identified track information to obtain a second correlation degree related to the electromagnetic parameter information; and determining the comprehensive correlation degree based on the first and second correlation degrees.

[0012] According to embodiments of this disclosure, the above-described multi-radiation-source-based trajectory association method further includes: when the association result indicates any one of a first intermediate association result, a third intermediate association result, and a fourth intermediate association result, updating the target's position information to obtain an updated first situation, wherein the first situation includes the target's identity identification information and the updated position information; when the association result indicates any one of a second intermediate association result and a fourth intermediate association result, updating both the target's identity identification information and position information to obtain an updated second situation, wherein the second situation includes the target's updated identity identification information and updated position information.

[0013] The second aspect of this disclosure provides a track association device based on multiple radiation sources, including: an acquisition module, an identity recognition module, and an association module.

[0014] The acquisition module is used to acquire single-signal track information, which represents the information transmitted by a single radiation source. Multiple radiation sources are deployed on a target, and the target includes multiple sources.

[0015] The identity identification module is used to identify targets based on single-signal track information and obtain target identification results, which include identified targets or unidentified targets.

[0016] The association module is used to associate identified and unidentified track information with targets to obtain association results. The identified track information represents the single-signal track information corresponding to the identified target, and the unidentified track information represents the single-signal track information corresponding to the unidentified target.

[0017] A third aspect of this disclosure provides an electronic device comprising: one or more processors; and a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the method described above.

[0018] A fourth aspect of this disclosure also provides a computer-readable storage medium having a computer program or instructions stored thereon, which, when executed by a processor, implement the steps of the above-described method.

[0019] The fifth aspect of this disclosure also provides a computer program product, including a computer program or instructions that, when executed by a processor, implement the steps of the above-described method.

[0020] According to the multi-radiation source-based trajectory association method provided in this disclosure, the target can be identified by acquiring multiple single-signal trajectory information to obtain the target identification result. Then, the identified trajectory information and the unidentified trajectory information can be associated to obtain the association result. Since not only the identified target is associated, but also the unidentified trajectory information is associated, the continuity difference of trajectory information caused by the existence of trajectory information fragments is avoided, thereby improving the target tracking accuracy and continuity in multi-target scenarios. Attached Figure Description

[0021] The foregoing contents, as well as other objects, features, and advantages of this disclosure, will become clearer from the following description of embodiments with reference to the accompanying drawings, in which:

[0022] Figure 1 This diagram illustrates an application scenario of the multi-radiation-source-based trajectory association method according to embodiments of the present disclosure.

[0023] Figure 2 A flowchart illustrating a multi-radiation-source-based trajectory association method according to an embodiment of the present disclosure is shown schematically.

[0024] Figure 3 A flowchart illustrating the determination of association results according to embodiments of the present disclosure is shown schematically;

[0025] Figure 4 A flowchart illustrating a multi-radiation-source-based track association method according to yet another embodiment of this disclosure is shown schematically;

[0026] Figure 5 A flowchart illustrating a multi-radiation-source-based trajectory association method according to another embodiment of the present disclosure is shown schematically.

[0027] Figure 6A schematic diagram illustrating a multi-radiation-source-based track correlation device according to an embodiment of the present disclosure is shown; and

[0028] Figure 7 A block diagram schematically illustrates an electronic device suitable for implementing a multi-radiation-source-based trajectory association method according to embodiments of the present disclosure. Detailed Implementation

[0029] The embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the present disclosure for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0030] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0031] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0032] When using expressions such as "at least one of A, B and C", they should generally be interpreted in accordance with the meaning that is commonly understood by those skilled in the art (e.g., "a system having at least one of A, B and C" should include, but is not limited to, a system having A alone, a system having B alone, a system having C alone, a system having A and B, a system having A and C, a system having B and C, and / or a system having A, B and C, etc.).

[0033] In the technical solution disclosed herein, the user information (including but not limited to user personal information, user image information, user device information, such as location information) and data (including but not limited to data used for analysis, stored data, and displayed data) involved are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, storage, use, processing, transmission, provision, disclosure, and application of related data all comply with relevant laws, regulations, and standards, necessary confidentiality measures have been taken, and they do not violate public order and good morals. Corresponding operation entry points are provided for users to choose to authorize or refuse.

[0034] In the process of developing this disclosure, it was discovered that spaceborne passive detection, due to its advantages such as large detection range, abundant information acquisition, and immunity to weather conditions, has become an important means of long-range target perception. Spaceborne passive detection systems receive radiation signals from radar, communication, and other sources associated with maritime targets. After data processing, they obtain attribute information such as the target's radiation source location, electromagnetic parameters, and radiation source type. Spaceborne passive detection systems directly acquire information about the radiation sources associated with the target. Since the same target may have multiple radiation sources, and these sources may be dynamically switching on and off, the trajectory of the same moving maritime target may present multiple single-signal segment trajectories with different time phases, inconsistent attributes, and varying accuracy. This poses a challenge to the correlated tracking of densely moving maritime targets. In related technologies, multi-target tracking methods are mainly applied in the field of radar target tracking, relying on the target's spatiotemporal position information. In the field of spaceborne passive detection, spatiotemporal position information has significant errors. In dense target scenarios, relying solely on spatiotemporal correlation easily leads to correlation ambiguity. Furthermore, spaceborne passive detection can acquire electromagnetic signals and parameter information from radiation sources, but this has not been fully utilized. Furthermore, existing spaceborne passive detection target association and tracking technologies mainly process identified targets, using target identification information to link fragmented tracks. However, a large number of unknown target tracks are not automatically processed, resulting in isolated fragments, poor track continuity, and difficulties in identifying unknown targets. Moreover, they do not support automatic situational updates, relying on prior information and post-event manual analysis, leading to poor processing timeliness.

[0035] In view of this, embodiments of the present disclosure provide a trajectory association method based on multiple radiation sources, comprising: acquiring single-signal trajectory information, wherein the single-signal trajectory information represents information transmitted by a single radiation source, and multiple radiation sources are deployed on a target, the target including multiple; identifying the target based on the single-signal trajectory information to obtain a target identification result, wherein the target identification result includes identified targets or unidentified targets; associating the identified trajectory information and the unidentified trajectory information with the target to obtain an association result, wherein the identified trajectory information represents single-signal trajectory information corresponding to the identified target, and the unidentified trajectory information represents single-signal trajectory information corresponding to the unidentified target.

[0036] Figure 1 The diagram illustrates an application scenario of the multi-radiation-source-based trajectory association method according to an embodiment of the present disclosure.

[0037] like Figure 1As shown, application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 serves as a medium for providing a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired or wireless communication links, or fiber optic cables, etc.

[0038] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 via the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social media platform software, etc. (for example only).

[0039] The first terminal device 101, the second terminal device 102, and the third terminal device 103 can be various electronic devices with displays and support web browsing, including but not limited to smartphones, tablets, laptops, and desktop computers.

[0040] Server 105 can be a server that provides various services, such as a backend management server that supports websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103 (this is just an example). The backend management server can analyze and process data such as received user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal devices.

[0041] It should be noted that the multi-radiation-source-based trajectory association method provided in this disclosure can generally be executed by server 105. Correspondingly, the multi-radiation-source-based trajectory association device provided in this disclosure can generally be located in server 105. The multi-radiation-source-based trajectory association method provided in this disclosure can also be executed by a server or server cluster that is different from server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or server 105. Correspondingly, the multi-radiation-source-based trajectory association device provided in this disclosure can also be located in a server or server cluster that is different from server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or server 105.

[0042] It should be understood that Figure 1The number of first terminal devices, second terminal devices, third terminal devices, networks, and servers shown in the diagram is merely illustrative. Depending on implementation needs, any number of first terminal devices, second terminal devices, third terminal devices, networks, and servers can be included.

[0043] Figure 2 A flowchart illustrating a multi-radiation-source-based track association method according to an embodiment of the present disclosure is shown schematically.

[0044] like Figure 2 As shown, the multi-radiation-source-based trajectory association method 200 of this embodiment includes operations S210 to S230.

[0045] During operation of S210, single-signal track information is acquired.

[0046] When operating the S220, the target is identified based on single-signal track information, and the target identification result is obtained.

[0047] In operation S230, target association is performed on the identified track information and the unidentified track information to obtain the association result.

[0048] According to embodiments of this disclosure, the target can be an object that needs to be detected, identified, and tracked in the marine environment, mainly including ships, unmanned surface vessels, submarines, buoys, etc. Therefore, the target can also be called a maritime target. Multiple targets can be included; for example, a target can be a fleet of 10 ships. A radiation source can characterize a device or natural phenomenon capable of emitting electromagnetic waves or ions. Multiple radiation sources, i.e., multiple radiation sources, refer to a single target carrying multiple different radiation sources such as radar, communication, IFF (Identification Friend or Foe) systems, and data links. Each radiation source emits electromagnetic wave signals according to its operational mission. After the signals are received by the onboard passive detection system, signal processing is performed to obtain the radiation source's location and parameter information. Processing at a certain pace yields the radiation source's trajectory information, based on which subsequent trajectory association and fusion are performed.

[0049] According to embodiments of this disclosure, single-signal track information can characterize information transmitted by a single radiation source, and multiple radiation sources can be deployed on a target. Single-signal track information may include the target's current location, the time the target is at its current location, the target's electromagnetic parameters, and radiation source attribute information. For example, the target's electromagnetic parameters may be information such as the carrier frequency and pulse width of the single-signal track information. Radiation source attribute information may include the target's identity information and the radiation source's identity information. For example, the target's identity information may be the target's identification number, and the radiation source's identity information may be the radiation source's model information. When the radiation source attribute information includes the target's identity information, the single-signal track information can be considered identified track information; when the radiation source attribute information does not include the target's identity information, the single-signal track information can be considered unidentified track information.

[0050] According to embodiments of this disclosure, an identified target can be characterized as a known target, that is, the target's identity information is known. For example, the target's identification number is known. An unidentified target can be characterized as an unknown target, that is, the target's identity information is unclear, for example, the target's identification number is unknown. The target identification result can include identified targets or unidentified targets.

[0051] According to embodiments of this disclosure, identified track information can characterize single-signal track information corresponding to an identified target; that is, identified track information can be the track information of an identified target. Unidentified track information can characterize single-signal track information corresponding to an unidentified target; that is, unidentified track information can be the track information of an unidentified target.

[0052] According to embodiments of this disclosure, the association result may include the association result between identified track information and the target, and the association result between unidentified track information and the target. The association result can be obtained by associating the identified track information and the unidentified track information with the target.

[0053] According to embodiments of this disclosure, for identified track information, it can first be associated with identified targets. If association with identified targets fails, it can be associated with unidentified targets. For unidentified track information, it must be associated with both identified and unidentified targets.

[0054] According to embodiments of this disclosure, by identifying the target based on multiple single-signal track information, a target identification result can be obtained. Then, the identified track information and the unidentified track information are associated to obtain an association result. Since not only the identified target is associated, but also the unidentified track information is associated, the continuity difference of track information caused by the existence of track information fragments is avoided, thereby improving the target tracking accuracy and continuity in multi-target scenarios.

[0055] According to embodiments of this disclosure, target association is performed on identified track information and unidentified track information to obtain association results, including: associating identified track information with identified targets and unidentified targets respectively to obtain a first association result of identified track information; and associating unidentified track information with identified targets and unidentified targets respectively to obtain a second association result of unidentified track information.

[0056] According to embodiments of this disclosure, the identified track information can be single-signal track information corresponding to a preset identified target, or it can be single-signal track information corresponding to other identified targets. For example, if the preset identified targets include target A, target B, target C, and target D, and the other identified targets include target F and target G, then the single-signal track information corresponding to target A, target B, target C, target D, target F, and target G are all identified track information.

[0057] According to embodiments of this disclosure, the first association result of the identified track information may include successful association between the identified track information and the identified target, successful association between the identified track information and the unidentified target, or failure to associate the identified track information with both the unidentified target and the identified target.

[0058] According to embodiments of this disclosure, successful association between identified track information and identified target indicates a match between the identified track information and the single-signal track information corresponding to the identified target. For example, the identity information of the target included in the identified track information is consistent with that of the identified target. Successful association between identified track information and unidentified target indicates a match between the identified track information and the single-signal track information corresponding to the unidentified target. For example, in the case of successful association between identified track information and unidentified target, the unidentified target can be determined based on the target identity information included in the identified track information, thereby converting the unidentified target into an identified target.

[0059] In one embodiment, if the preset identified targets include M identified targets and N unidentified targets, and the identified track information is successfully associated with the unidentified targets, the current identified targets can be M+1 and the unidentified targets can be N-1.

[0060] According to embodiments of this disclosure, the failure to associate identified track information with both unidentified and identified targets indicates that the identified track information fails to associate with both unidentified and identified targets. For example, if the identified track information includes the identity information of target F, the identified target is target C, and the unidentified target is not F, then the identified track information fails to associate with both the identified and unidentified targets.

[0061] In one embodiment, if the preset identified targets include M identified targets and N unidentified targets, and the identified track information fails to be associated with both the unidentified targets and the identified targets, the current identified targets can be M+1, and the unidentified targets can be N. The newly added identified target is target F corresponding to the identified track information.

[0062] According to embodiments of this disclosure, the second association result of unidentified track information may include unidentified track information being successfully associated with identified target, unidentified track information being successfully associated with unidentified target, or unidentified track information failing to be associated with both unidentified target and identified target.

[0063] According to embodiments of this disclosure, successful association between unidentified track information and identified target indicates a mismatch between the unidentified track information and the single-signal track information corresponding to the identified target. For example, the single-signal track information corresponding to the identified target and the unidentified track information are inconsistent. Successful association between unidentified track information and unidentified target indicates a match between the unidentified track information and the single-signal track information corresponding to the unidentified target. For example, in the case of successful association between unidentified track information and unidentified target, the unidentified target can be tracked.

[0064] According to embodiments of this disclosure, the failure to associate unidentified track information with both unidentified and identified targets indicates that the unidentified information not only fails to associate with the unidentified target but also fails to associate with the identified target. For example, if the identified target is target C, and the identity information included in the unidentified track information is inconsistent with target C and also inconsistent with the unidentified target, then the unidentified track information fails to associate with both the unidentified and identified targets.

[0065] In one embodiment, if the preset identified targets include M identified targets and N unidentified targets, and the unidentified track information fails to be associated with both the unidentified targets and the identified targets, the current identified targets can be M, and the unidentified targets can be N+1. The newly added unidentified target is the target corresponding to the unidentified track information.

[0066] According to embodiments of this disclosure, by associating identified track information and unidentified track information with unidentified targets and identified targets respectively, a first association result of identified track information and a second association result of unidentified track information can be determined, thereby updating the identity information of multiple targets and improving the real-time performance and accuracy of target identity information.

[0067] According to embodiments of this disclosure, the identified track information is associated with identified targets and unidentified targets respectively to obtain a first association result of the identified track information, including: when the identified track information belongs to a preset identified target, associating the identified track information with the preset identified target to obtain a first intermediate association result of the identified track information; when the identified track information does not belong to the preset identified target, associating the identified track information with the unidentified target to obtain a second intermediate association result of the identified track information.

[0068] According to embodiments of this disclosure, the first association result may include a first intermediate association result and a second intermediate association result.

[0069] According to embodiments of this disclosure, the preset identified targets may include multiple targets. A first intermediate association result indicates that the identified track information has been successfully associated with the preset identified targets. When the identified track information belongs to any one of the multiple preset identified targets, the identified track information can be associated with the preset identified targets to obtain the first intermediate association result of the identified track information. For example, if the preset identified targets include target A, target B, target C, and target D, and the identified track information includes target A as the target's identity information, the identified track information can be associated with target A to track target A.

[0070] According to the embodiments of this disclosure, since the first intermediate association result represents the successful association between the identified track information and the preset identified target, that is, the target corresponding to the identified track information can be tracked.

[0071] According to embodiments of this disclosure, the second intermediate association result may include successful association between identified track information and unidentified target, or failure to associate identified track information with both unidentified and identified targets. If the identified track information is successfully associated with an unidentified target, the identity information of the unidentified target can be confirmed. For example, if the identified track information includes target A as the target, and the identified track information is successfully associated with the unidentified target, the unidentified target can be considered target A. If the identified track information fails to associate with both unidentified and identified targets, a new unidentified target can be added. For example, if the identified track information includes target A as the target, the identified target is target C, and the unidentified target is not target A, a new unidentified target can be added, i.e., a new unidentified target is added.

[0072] According to embodiments of this disclosure, when it is determined whether the identified track information belongs to the identified target, the identified track information can be associated with preset identified targets and unidentified targets respectively, thereby determining the first intermediate association result and the second intermediate association result of the identified track information. In the process of determining the first intermediate association result and the second intermediate association result of the identified track information, the identity information of multiple targets is updated, further improving the real-time performance and accuracy of the target identity information.

[0073] According to embodiments of this disclosure, unidentified track information is associated with identified targets and unidentified targets respectively to obtain a second association result of unidentified track information, including: associating unidentified track information with identified targets to obtain a third intermediate association result of unidentified track information; and associating unidentified track information with unidentified targets to obtain a fourth intermediate association result of unidentified track information.

[0074] According to embodiments of this disclosure, the second association result may include a third intermediate association result and a fourth intermediate association result.

[0075] According to embodiments of this disclosure, the third intermediate association result can characterize the successful association between unidentified track information and identified target. When unidentified track information is successfully associated with an identified target, tracking of the identified target can be achieved. For example, if the identified target is target C, and the unidentified track information is successfully associated with it, the unidentified track information can be considered as single-signal track information corresponding to the identified target, thereby enabling tracking of the identified target.

[0076] According to embodiments of this disclosure, the fourth intermediate association result may include successful association between unidentified track information and unidentified target, or failure to associate unidentified track information with both unidentified and identified targets. If the unidentified track information is successfully associated with an unidentified target, tracking of the unidentified target can be achieved. If the unidentified track information fails to associate with both unidentified and identified targets, it can be considered that the unidentified track information has failed to associate with both unidentified and identified targets, thereby adding a new unidentified target corresponding to the unidentified track information.

[0077] According to embodiments of this disclosure, by associating unidentified track information with identified targets and unidentified targets respectively, a third intermediate association result and a fourth intermediate association result of the unidentified track information can be determined. In the process of determining the third intermediate association result and the fourth intermediate association result of the unidentified track information, the identity information of multiple targets is updated, further improving the real-time performance and accuracy of the target identity information.

[0078] According to embodiments of this disclosure, the above-mentioned multi-radiation source-based trajectory association method further includes: obtaining a comprehensive correlation degree based on single-signal trajectory information and identified trajectory information; and determining the association result based on the comprehensive correlation degree, preset identity attribute rules, and preset association relationship rules.

[0079] According to embodiments of this disclosure, a comprehensive correlation degree is obtained based on single-signal track information and identified track information, including: calculating the correlation degree between the spatiotemporal position information in the single-signal track information and the spatiotemporal position information in the identified track information to obtain a first correlation degree related to the spatiotemporal position information; calculating the correlation degree between the electromagnetic parameter information in the single-signal track information and the electromagnetic parameter information in the identified track information to obtain a second correlation degree related to the electromagnetic parameter information; and determining the comprehensive correlation degree based on the first correlation degree and the second correlation degree.

[0080] According to embodiments of this disclosure, during the track association process, a single signal track information is associated with an identified track information at a time, and this process is repeated, so that multiple single signal track information of multiple targets are polled by this association process, and the association of all single signal track information is completed.

[0081] According to embodiments of this disclosure, both single-signal track information and identified track information can include spatiotemporal position information and electromagnetic parameter information. Since temporal overlap is considered between single-signal track information and identified track information, automatic sequential correlation and fusion of multi-signal track information is performed in a temporal sequence. Whether the single-signal track information and identified track information have temporal overlap or not, a correlation degree related to spatiotemporal position can be calculated to obtain a first correlation degree related to spatiotemporal position information. This first correlation degree can include a first correlation degree with temporal overlap and a first correlation degree without temporal overlap. The first correlation degree with temporal overlap and the first correlation degree without temporal overlap can be different.

[0082] According to embodiments of this disclosure, when single-signal track information and identified track information overlap in time, the spatiotemporal position information in the single-signal track information and the spatiotemporal position information in the identified track information are correlated with each other to obtain a first correlation degree related to the spatiotemporal position information with temporal overlap. When single-signal track information and identified track information do not overlap in time, the spatiotemporal position information in the single-signal track information and the spatiotemporal position information in the identified track information are correlated with each other to obtain a first correlation degree related to the spatiotemporal position information without temporal overlap. When single-signal track information and identified track information do not overlap in time, extrapolation of single-signal track information and identified track information is also possible.

[0083] According to embodiments of this disclosure, whether the single-signal track information and the identified track information have temporal overlap or not, a correlation degree calculation related to the electromagnetic parameter information can be performed to obtain a second correlation degree related to the electromagnetic parameter information. This second correlation degree can include both a second correlation degree with temporal overlap and a second correlation degree without temporal overlap. The second correlation degree with temporal overlap and the second correlation degree without temporal overlap can be different.

[0084] According to embodiments of this disclosure, when single-signal track information and identified track information overlap in time and originate from the same radiation source, the electromagnetic parameter information of the single-signal track information and the electromagnetic parameter information of the identified track information are correlated with each other to obtain a first correlation degree related to the electromagnetic parameter information with temporal overlap. When single-signal track information and identified track information do not overlap in time but originate from the same radiation source, the electromagnetic parameter information of the single-signal track information and the electromagnetic parameter information of the identified track information are correlated with each other to obtain a first correlation degree related to the electromagnetic parameter information without temporal overlap. When single-signal track information and identified track information do not overlap in time, inference and prediction of the electromagnetic parameter information in both single-signal track information and identified track information are also possible.

[0085] According to the embodiments of this disclosure, except for single-signal track information and identified track information originating from the same radiation source and having or not having time overlap, all other cases belong to heterogeneous electromagnetic radiation sources. Heterogeneous electromagnetic radiation sources do not need to perform correlation calculations related to electromagnetic parameter information.

[0086] According to embodiments of this disclosure, a comprehensive correlation degree can be determined based on a first correlation degree, a second correlation degree, and a preset weighting coefficient, as shown in the following formula (1).

[0087] (1)

[0088] in, Indicates the overall correlation. Indicates the first degree of relevance. Indicates the second degree of relevance. This represents the first preset weighting coefficient. This represents the second preset weighting coefficient.

[0089] According to embodiments of this disclosure, the preset weighting coefficient may include a first preset weighting coefficient and a second preset weighting coefficient, which may be determined based on the application scenario and data conditions.

[0090] According to embodiments of this disclosure, determining the association result based on comprehensive correlation, preset identity attribute rules, and preset assignment relationship rules includes: determining an intermediate association result based on at least one of the preset identity attribute rules and preset assignment relationship rules, according to single signal track information and identified track information; and determining the association result based on comprehensive correlation and preset correlation when the intermediate association result indicates that the intermediate association result is uncertain.

[0091] According to embodiments of this disclosure, the preset identity attribute rules can be identity attribute rules set based on experience. For example, if single-signal track information and identified track information do not belong to the same target area, it can be considered that the single-signal track information and identified track information do not meet the preset identity attribute rules, that is, the association between the single-signal track information and identified track information fails. The preset assignment relationship rules can be assignment relationship rules set based on experience. For example, if the single-signal track information is information sent by radiation source 1, and the identified track information is information sent by radiation source 11, and radiation source 1 and radiation source 11 are not deployed on the same target, it can be considered that the single-signal track information and identified track information do not meet the preset assignment relationship rules, that is, the association between the single-signal track information and identified track information fails.

[0092] According to embodiments of this disclosure, an intermediate association result can be determined based on at least one of preset identity attribute rules and preset assignment relationship rules, using single-signal track information and identified track information. For example, the intermediate association result can be determined based on whether the single-signal track information and identified track information satisfy preset identity attribute rules. As another example, the intermediate association result can be determined based on whether the single-signal track information and identified track information satisfy preset assignment relationship rules.

[0093] According to embodiments of this disclosure, when the intermediate association result indicates uncertainty—that is, when single-signal track information and identified track information may or may not be associated—the association result can be determined based on the comprehensive association degree and a preset association degree. For example, if the single-signal track information is unidentified track information, then the single-signal track information and identified track information may or may not be associated, and the association result can be determined based on the comprehensive association degree and a preset association degree.

[0094] According to embodiments of this disclosure, the association result may include successful association or failed association. A preset association degree can be set according to needs or experience. For example, if the preset association degree is 85% and the overall association degree is greater than 85%, the single-signal track information can be considered successfully associated with the identified track information. Conversely, if the preset association degree is 85% and the overall association degree is less than or equal to 85%, the single-signal track information can be considered to have failed to associate with the identified track information.

[0095] According to embodiments of this disclosure, by calculating the correlation degree of spatiotemporal position information and electromagnetic parameter information in single-signal track information and identified track information, a first correlation degree related to spatiotemporal position information and a second correlation degree related to electromagnetic parameter information can be obtained. Then, based on the first correlation degree and the second correlation degree, a comprehensive correlation degree can be determined. By polling multiple single-signal track information with identified track information, the comprehensive correlation degree of each single-signal track information with other single-signal track information can be determined. The comprehensive correlation degree is then compared with a preset correlation degree to determine the correlation result, thereby improving the accuracy of the obtained correlation result.

[0096] Figure 3 A flowchart illustrating the determination of association results according to an embodiment of this disclosure is shown schematically.

[0097] like Figure 3 As shown, based on the spatiotemporal position information 301 of the single-signal track information and the identified track information, a first correlation degree 302 related to the spatiotemporal position information can be calculated. Based on the electromagnetic parameter information 303 of the single-signal track information and the identified track information, a second correlation degree 304 related to the electromagnetic parameter information can be calculated. By weighted summing of the first correlation degree 302 and the second correlation degree 304, a comprehensive correlation degree 305 can be obtained. The intermediate association result 310 can be obtained not only by combining the identity identification information 306 of the single signal track information and the identified track information with the preset identity attribute rule 307, but also by combining the preset assignment information 308 of the single signal track information and the identified track information with the preset assignment relationship rule 309. It is then determined whether the intermediate association result is certain 311. If the intermediate association result 311 indicates that the intermediate association result is uncertain, the comprehensive association degree 305 and the preset association degree are compared to determine the association result 312. If the intermediate association result 311 indicates that the intermediate association result is certain, the association result 312 is obtained directly.

[0098] According to embodiments of this disclosure, the above-mentioned multi-radiation-source-based trajectory association method further includes: when the association result indicates any one of a first intermediate association result, a third intermediate association result, and a fourth intermediate association result, updating the target's position information to obtain an updated first situation; when the association result indicates any one of a second intermediate association result and a fourth intermediate association result, updating both the target's identity identification information and position information to obtain an updated second situation.

[0099] According to embodiments of this disclosure, the first situational awareness may include target identification information and updated location information. When the association result indicates a first intermediate association result, that is, when the identified track information is successfully associated with a preset identified target, tracking of the identified target can be achieved. Therefore, the target's identification information remains unchanged, while the target's location information is updated, thereby obtaining the updated situational awareness. When the association result indicates a third intermediate association result, that is, when the unidentified track information is successfully associated with an identified target, tracking of the identified target can be achieved. Therefore, the target's identification information remains unchanged, while the target's location information is updated, thereby obtaining the updated situational awareness.

[0100] According to the embodiments of this disclosure, since the fourth intermediate association result may include two cases: the unidentified track information is successfully associated with the unidentified target or the unidentified track information fails to be associated with both the unidentified target and the identified target, when the fourth intermediate association result is that the unidentified track information is successfully associated with the unidentified target, the tracking of the unidentified target can be realized. Therefore, the target's identity identification information remains unchanged, and the target's position information is updated, thereby obtaining the updated situation.

[0101] According to embodiments of this disclosure, the second situational awareness may include updated target identification information and updated location information. Since the second intermediate association result includes two scenarios: successful association between identified track information and unidentified targets, or failure to associate identified track information with both unidentified and identified targets, the target's identification information and location information can be updated in both cases, thus obtaining an updated situational awareness. Even when the fourth intermediate association result is a failure to associate unidentified track information with both unidentified and identified targets, the target's identification information and location information can still be updated, resulting in an updated situational awareness.

[0102] According to embodiments of this disclosure, the situation of the target is updated differently depending on the association results, thereby realizing automatic iterative updates of the situation, continuously tracking identified and unidentified targets, avoiding the problem of poor processing time caused by relying on prior information or post-event manual analysis in related technologies, and making the situation of the target gradually more accurate and continuous through the complementary verification of multiple single-signal track information.

[0103] Figure 4 A flowchart illustrating a multi-radiation-source-based track association method according to yet another embodiment of this disclosure is shown.

[0104] like Figure 4As shown, multiple different radiation sources, such as radar 4011, communication 4012, and IFF 4013, are deployed on the same target. Each of these sources transmits single-signal track information 402. The system determines whether the single-signal track information contains target identification information 403. If it does, meaning the target corresponding to the single-signal track information is an identified target, it determines whether the identified target belongs to a preset identified target 404. If the identified target belongs to the preset identified target, it tracks the preset identified target 405. At this point, there are still M identified targets and N unidentified targets. If the identified target does not belong to the preset identified target, the single-signal track information is associated with the N unidentified targets 406. If the association between the identified track information and the unidentified targets is successful, the identity of the unidentified targets is determined 407, making the unidentified targets identified targets. At this point, there are M+1 identified targets and [the remaining unidentified targets are missing from the original text]. If the number of identified targets is N-1, and the association between an identified track information and an unidentified target fails, a new identified target is created (408), meaning a new identified target is added. At this point, there are M+1 identified targets and N unidentified targets. If there is no target identification information, meaning the target corresponding to the single signal track information is an unidentified target, it is associated with M preset identified targets and N unidentified targets (409). If the association with a preset identified target is successful... The system then tracks pre-defined identified targets (405), where there are still M identified targets and N unidentified targets. If a successful association with an unidentified target occurs, tracking of that unidentified target (410) continues, again with M identified targets and N unidentified targets. If association with both pre-defined identified targets and unidentified targets fails, a new batch of unidentified targets (411) is initiated, resulting in M ​​identified targets and N+1 unidentified targets. Each association result enables track information fusion (412), identity attribute information fusion (413), and comprehensive identity identification of unidentified targets (414), leading to iterative situation updates (415). This iterative polling process further refines and updates the target's track and identity information. The comprehensive identity identification of unidentified targets (414) is based on comprehensive correlation, pre-defined identity attribute rules, and pre-defined assignment relationship rules.

[0105] Figure 5 A flowchart illustrating a multi-radiation-source-based track association method according to another embodiment of the present disclosure is shown.

[0106] like Figure 5 As shown, the multi-radiation-source-based track association method of this embodiment includes operations S510 to S530.

[0107] When operating the S510, a sequential correlation and fusion processing flow is established based on single-signal track information from multiple radiation sources.

[0108] When operating the S520, a track association model based on multi-dimensional information is established based on single-signal track information and identified track information to obtain the association results.

[0109] When operating the S530, a situation update strategy is established based on the correlation results to automatically update the situation of single-signal track information and identified track information in real time.

[0110] According to embodiments of this disclosure, establishing a sequential correlation fusion processing flow includes constructing a current situation comprising M preset identified targets and N unidentified targets. Based on the single-signal trajectory information of a radiation source formed by real-time detection, correlation processing is performed with the identified and unidentified trajectory information in the current situation to obtain correlation results. Based on the correlation results, tracking of identified targets, tracking of unidentified targets, identification of unidentified targets, and new batching of identified and unidentified targets are realized.

[0111] According to embodiments of this disclosure, establishing a track association model based on multi-dimensional information includes comprehensively utilizing spatiotemporal location information, electromagnetic parameter information, identity identification information, and preset assignment information to comprehensively associate and decide on single-signal track information. Among them, identity identification information and preset assignment information are applied to track information association through decision-level association rules. The association calculation of spatiotemporal location information and electromagnetic parameter information can adopt various association algorithms depending on the association scenario, which will not be elaborated here.

[0112] According to embodiments of this disclosure, the situation update strategy can achieve continuous tracking of targets, identification of unidentified targets, and discovery of new identified targets based on the correlation results.

[0113] Based on the above-described multi-radiation-source-based trajectory association method, this disclosure also provides a multi-radiation-source-based trajectory association device. The following will be combined with... Figure 6 The device is described in detail.

[0114] Figure 6 A schematic block diagram of a multi-radiation-source-based track association device according to an embodiment of the present disclosure is shown.

[0115] like Figure 6 As shown, the multi-radiation-source-based trajectory association device 600 of this embodiment includes an acquisition module 610, an identity identification module 620, and an association module 630.

[0116] The acquisition module 610 is used to acquire single-signal track information, wherein the single-signal track information represents the information emitted by a single radiation source. Multiple radiation sources are deployed on a target, and the target includes multiple sources. In one embodiment, the acquisition module 610 can be used to perform the operation S210 described above, which will not be repeated here.

[0117] The identity identification module 620 is used to identify the target based on single-signal track information and obtain a target identification result, wherein the target identification result includes identified targets or unidentified targets. In one embodiment, the identity identification module 620 can be used to perform the operation S220 described above, which will not be repeated here.

[0118] The association module 630 is used to perform target association on the identified track information and the unidentified track information to obtain an association result. The identified track information represents the single-signal track information corresponding to the identified target, and the unidentified track information represents the single-signal track information corresponding to the unidentified target. In one embodiment, the association module 630 can be used to perform the operation S230 described above, which will not be repeated here.

[0119] According to an embodiment of this disclosure, the association module 630 includes: a first association submodule and a second association submodule.

[0120] The first association submodule is used to associate the identified track information with the identified target and the unidentified target respectively to obtain the first association result of the identified track information. The first association result of the identified track information includes the identified track information being successfully associated with the identified target, the identified track information being successfully associated with the unidentified target, or the identified track information failing to be associated with both the unidentified target and the identified target.

[0121] The second association submodule is used to associate the unidentified track information with the identified target and the unidentified target respectively to obtain the second association result of the unidentified track information. The second association result of the unidentified track information includes the unidentified track information being successfully associated with the identified target, the unidentified track information being successfully associated with the unidentified target, or the unidentified track information failing to be associated with both the unidentified target and the identified target.

[0122] According to embodiments of this disclosure, the first association submodule includes: a first association unit and a second association unit.

[0123] The first association unit is used to associate the identified track information with the preset identified target when the identified track information belongs to the preset identified target, and obtain the first intermediate association result of the identified track information, wherein the first intermediate association result indicates that the identified track information is successfully associated with the preset identified target.

[0124] The second association unit is used to associate the identified track information with the unidentified target when the identified track information does not belong to the preset identified target, and obtain the second intermediate association result of the identified track information. The second intermediate association result includes the identified track information being successfully associated with the unidentified target or the identified track information failing to be associated with both the unidentified target and the identified target.

[0125] According to embodiments of this disclosure, the second association submodule includes: a third association unit and a fourth association unit.

[0126] The third association unit is used to associate unidentified track information with identified targets to obtain a third intermediate association result of the unidentified track information, wherein the third intermediate association result indicates that the unidentified track information is successfully associated with the identified targets.

[0127] The fourth association unit is used to associate unidentified track information with unidentified targets to obtain a fourth intermediate association result of the unidentified track information. The fourth intermediate association result includes either the unidentified track information being successfully associated with the unidentified target or the unidentified track information failing to be associated with both the unidentified target and the identified target.

[0128] According to embodiments of this disclosure, the above-described multi-radiation-source-based trajectory correlation device 600 further includes: a first obtaining module and a determining module.

[0129] The first module is used to obtain the overall correlation degree based on single signal track information and identified track information.

[0130] The determination module is used to determine the association result based on the comprehensive correlation degree, preset identity attribute rules, and preset assignment relationship rules.

[0131] According to embodiments of this disclosure, the determining module includes: a first determining submodule, a second determining submodule, and a third determining submodule.

[0132] The first determination submodule is used to determine the intermediate association result based on at least one of the preset identity attribute rules and preset association relationship rules, according to the single signal track information and the identified track information.

[0133] The second determination submodule is used to determine the association result based on the comprehensive association degree and the preset association degree when the intermediate association result indicates that the intermediate association result is uncertain.

[0134] According to embodiments of this disclosure, both the single-signal track information and the identified track information include spatiotemporal position information and electromagnetic parameter information. The first obtaining module includes: a first obtaining submodule, a second obtaining submodule, and a third obtaining submodule.

[0135] The first submodule is used to calculate the correlation between the spatiotemporal position information in the single signal track information and the spatiotemporal position information in the identified track information, and obtain the first correlation degree related to the spatiotemporal position information.

[0136] The second submodule is used to calculate the correlation between the electromagnetic parameter information in the single signal track information and the electromagnetic parameter information in the identified track information, and obtain a second correlation degree related to the electromagnetic parameter information.

[0137] The third submodule is used to determine the comprehensive correlation degree based on the first correlation degree and the second correlation degree.

[0138] According to embodiments of this disclosure, the above-described multi-radiation-source-based trajectory correlation device 600 further includes: a second obtaining module and a third obtaining module.

[0139] The second obtaining module is used to update the target's location information when the association result indicates any one of the first intermediate association result, the third intermediate association result, and the fourth intermediate association result, to obtain the updated first situation, wherein the first situation includes the target's identity identification information and the updated location information.

[0140] The third module is used to update the target's identity information and location information when the association result indicates either the second intermediate association result or the fourth intermediate association result, so as to obtain the updated second situation, wherein the second situation includes the target's updated identity information and updated location information.

[0141] According to embodiments of this disclosure, any plurality of modules among the acquisition module 610, identity verification module 620, and association module 630 can be combined into one module, or any one of these modules can be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules can be combined with at least part of the functionality of other modules and implemented in one module. According to embodiments of this disclosure, at least one of the acquisition module 610, identity verification module 620, and association module 630 can be at least partially implemented as hardware circuitry, such as a field-programmable gate array (FPGA), a programmable logic array (PLA), a system-on-a-chip, a system-on-a-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or implemented in hardware or firmware by any other reasonable means of integrating or packaging circuitry, or implemented in any one of software, hardware, and firmware methods, or in a suitable combination of any of these. Alternatively, at least one of the acquisition module 610, identity verification module 620, and association module 630 can be at least partially implemented as a computer program module, which can perform corresponding functions when the computer program module is run.

[0142] Figure 7 A block diagram schematically illustrates an electronic device suitable for implementing a multi-radiation-source-based trajectory association method according to embodiments of the present disclosure.

[0143] like Figure 7 As shown, an electronic device 700 according to an embodiment of the present disclosure includes a processor 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage portion 708 into RAM (Random Access Memory). The processor 701 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 701 may also include onboard memory for caching purposes. The processor 701 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0144] RAM 703 stores various programs and data required for the operation of electronic device 700. Processor 701, ROM 702, and RAM 703 are interconnected via bus 704. Processor 701 performs various operations of the method flow according to embodiments of the present disclosure by executing programs in ROM 702 and / or RAM 703. It should be noted that the programs may also be stored in one or more memories other than ROM 702 and RAM 703. Processor 701 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in said one or more memories.

[0145] According to embodiments of this disclosure, the electronic device 700 may further include an input / output (I / O) interface 705, which is also connected to a bus 704. The electronic device 700 may also include one or more of the following components connected to the input / output (I / O) interface 705: an input section 706 including a keyboard, mouse, etc.; an output section 707 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 708 including a hard disk, etc.; and a communication section 709 including a network interface card such as a LAN card, modem, etc. The communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the input / output (I / O) interface 705 as needed. A removable medium 711, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 710 as needed so that computer programs read from it can be installed into the storage section 708 as needed.

[0146] This disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into the device / apparatus / system. The computer-readable storage medium carries one or more programs that, when executed, implement the method according to the embodiments of this disclosure.

[0147] According to embodiments of this disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, such as including, but not limited to: portable computer disks, hard disks, RAM (Random Access Memory), ROM (Read Only Memory), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this disclosure, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to embodiments of this disclosure, the computer-readable storage medium may include ROM 702 and / or RAM 703 and / or one or more memories other than ROM 702 and RAM 703 described above.

[0148] Embodiments of this disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowchart. When the computer program product is run on a computer system, the program code enables the computer system to implement the multi-radiation source-based track association method provided in the embodiments of this disclosure.

[0149] When the computer program is executed by the processor 701, it performs the functions defined in the system / apparatus of this disclosure embodiments. According to embodiments of this disclosure, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0150] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of signals over a network medium, and may be downloaded and installed via the communication section 709, and / or installed from a removable medium 711. The program code contained in the computer program can be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0151] In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 709, and / or installed from the removable medium 711. When the computer program is executed by the processor 701, it performs the functions defined in the system of this disclosure embodiment. According to embodiments of this disclosure, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0152] According to embodiments of this disclosure, program code for executing the computer programs provided in embodiments of this disclosure can be written in any combination of one or more programming languages. Specifically, these computational programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C", or similar programming languages. The program code can execute entirely on a user's computing device, partially on a user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0153] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0154] Those skilled in the art will understand that the features described in the various embodiments of this disclosure can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in this disclosure. In particular, the features described in the various embodiments of this disclosure can be combined and / or combined in various ways without departing from the spirit and teachings of this disclosure. All such combinations and / or combinations fall within the scope of this disclosure.

[0155] The embodiments of this disclosure have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of this disclosure. Although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of this disclosure, and all such substitutions and modifications should fall within the scope of this disclosure.

Claims

1. A multi-radar source based track association method, characterized in that, The method comprises: acquiring single-signal track information, wherein the single-signal track information represents information transmitted by a single radiation source, a plurality of the radiation sources are deployed on a target, and the target comprises a plurality of targets; performing target identification on the target based on the single-signal track information to obtain a target identification result, wherein the target identification result comprises an identified target or an unidentified target; performing target association on identified track information and unidentified track information to obtain an association result, comprising: associating the identified track information with the identified target and the unidentified target respectively to obtain a first association result of the identified track information, comprising: in a case where the identified track information belongs to a preset identified target, associating the identified track information with the preset identified target to obtain a first intermediate association result of the identified track information, wherein the first association result of the identified track information comprises successful association of the identified track information with the identified target, successful association of the identified track information with the unidentified target, or failure of the identified track information to associate with both the unidentified target and the identified target, and the first intermediate association result represents successful association of the identified track information with the preset identified target; in a case where the identified track information does not belong to a preset identified target, associating the identified track information with the unidentified target to obtain a second intermediate association result of the identified track information, wherein the second intermediate association result comprises successful association of the identified track information with the unidentified target or failure of the identified track information to associate with both the unidentified target and the identified target; associating the unidentified track information with the identified target and the unidentified target respectively to obtain a second association result of the unidentified track information, comprising: associating the unidentified track information with the identified target to obtain a third intermediate association result of the unidentified track information, wherein the second association result of the unidentified track information comprises successful association of the unidentified track information with the identified target, successful association of the unidentified track information with the unidentified target, or failure of the unidentified track information to associate with both the unidentified target and the identified target, and the third intermediate association result represents successful association of the unidentified track information with the identified target; associating the unidentified track information with the unidentified target to obtain a fourth intermediate association result of the unidentified track information, wherein the fourth intermediate association result comprises successful association of the unidentified track information with the unidentified target or failure of the unidentified track information to associate with both the unidentified target and the identified target; wherein the identified track information represents single-signal track information corresponding to the identified target, and the unidentified track information represents single-signal track information corresponding to the unidentified target.

2. The method of claim 1, wherein, The method further comprises: obtaining a comprehensive association degree according to the single-signal track information and the identified track information. According to the comprehensive correlation degree, the preset identity attribute rule and the preset association relationship rule, a correlation result is determined.

3. The method of claim 2, wherein, The determining of the correlation result according to the comprehensive correlation degree, the preset identity attribute rule and the preset association relationship rule comprises: According to the single-signal track information and the identified track information, an intermediate correlation result is determined based on at least one of the preset identity attribute rule and the preset association relationship rule; In a case where the intermediate correlation result indicates that the intermediate correlation result is uncertain, the correlation result is determined according to the comprehensive correlation degree and a preset correlation degree.

4. The method of claim 2, wherein, The single-signal track information and the identified track information both include space-time position information and electromagnetic parameter information, and the comprehensive correlation degree is obtained according to the single-signal track information and the identified track information, which comprises: The space-time position information in the single-signal track information is associated with the space-time position information in the identified track information to obtain a first correlation degree related to the space-time position information; The electromagnetic parameter information in the single-signal track information is associated with the electromagnetic parameter information in the identified track information to obtain a second correlation degree related to the electromagnetic parameter information; The comprehensive correlation degree is determined according to the first correlation degree and the second correlation degree.

5. The method of claim 1, wherein, The method further comprises: In a case where the correlation result indicates that the first intermediate correlation result, the third intermediate correlation result and the fourth intermediate correlation result are any one of successful association between un-identified track information and un-identified target, the position information of the target is updated to obtain an updated first situation, wherein the first situation comprises the identity identification information and the updated position information of the target; In a case where the correlation result indicates that the second intermediate correlation result and the fourth intermediate correlation result are any one of failed association between un-identified track information and un-identified target and identified target, the identity identification information and the position information of the target are both updated to obtain an updated second situation, wherein the second situation comprises the updated identity identification information and the updated position information of the target.

6. A multi-radiation source based track association device for implementing the method according to any one of claims 1 to 5, characterized in that, The device comprises: An acquisition module is configured to acquire single-signal track information, wherein the single-signal track information represents information transmitted by a single radiation source, a plurality of the radiation sources are deployed on a target, and the target comprises a plurality of targets. An identity identification module is configured to perform identity identification on the target based on the single-signal track information to obtain a target identification result, wherein the target identification result comprises an identified target or an un-identified target. An association module is configured to perform target association on identified track information and un-identified track information to obtain a correlation result, wherein the identified track information represents single-signal track information corresponding to the identified target, and the un-identified track information represents single-signal track information corresponding to the un-identified target.

7. An electronic device comprising: one or more processors; a memory for storing one or more computer programs, characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 5.

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