Online combat intention identification method and device based on incomplete information

A recognition method and intent technology, applied in the field of target intent recognition, can solve massive incomplete, untimely, wrong intelligence information and other problems, achieve the effects of saving computing resources and time, enhancing applicability, and avoiding result errors

Pending Publication Date: 2021-12-03
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is how to realize efficient online intent recognition in the face of a large amount of incomplete, untimely, inaccurate, or even wrong or deceptive intelligence information, and proposes an incomplete information Online Combat Intent Recognition Method and Device

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  • Online combat intention identification method and device based on incomplete information
  • Online combat intention identification method and device based on incomplete information
  • Online combat intention identification method and device based on incomplete information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] Embodiment 1. The situation where the target position is unclear

[0089] In the multi-party battle scenario, it is often impossible to determine the position of the newly detected target, and it is difficult to distinguish whether it is an enemy or a friend, which brings certain challenges to the intention recognition task. Therefore, this embodiment explores this problem to verify the applicability of the model of the present invention on this problem. First, in order to assign appropriate training attention, intent recognition is performed based on the model weight parameters defined in Table 1, and the obtained results find that AB3 is the best training attention assignment among the five configurations. Secondly, based on the incomplete intelligence information with unclear target position, the online intent recognition effect of the proposed model W-CPCLSTM in the present invention is verified by comparing with the traditional LSTM model, as shown in image 3 (a)...

Embodiment 2

[0090] Example 2: The target location is unknown

[0091] On the battlefield of confrontation, the concealment of each party, mutual deception, limitations of detection equipment, and time delay make it difficult to track the exact position of the target in real time, and many tactical intentions are closely related to its coordinate position . In the absence of this important information, how to reasonably allocate training attention so that the model maintains a stable output? In the face of situational information with unknown target position detection, can the model of the present invention continue to maintain its advantage in the task of identifying combat intentions? If the location intelligence brought by the detection equipment is obtained, what kind of feedback will the intent model have?

[0092] The present invention uses AB3, the best training attention distribution among the five configurations. from Figure 5 (a) and Figure 5 (b) It can be seen that compar...

Embodiment 3

[0093] Embodiment 3, unknown target type

[0094] During the battle, the detected enemy target is often initially accompanied by a suspected trajectory, and the specific target type needs to be tracked for a period of time to be confirmed. How to efficiently identify the unknown target detected online is Important content to be explored in modern information warfare. In this example, the intention recognition effect of the proposed algorithm in the face of situational information of unknown target types is verified by comparing with the traditional LSTM model. Finally, the contribution of target type intelligence to intent recognition by the two models is explored.

[0095] In the face of incomplete situational information of unknown target types, this example uses AB5 with the best recognition efficiency as its optimal training parameter configuration to compare with the LSTM network with the same effect. Figure 7 The experimental results of (a) and 7(b) show that it is ob...

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Abstract

The invention provides an online combat intention recognition method and device based on incomplete information, and the method comprises the steps: obtaining information data through various types of detection and sensing equipment, and obtaining historical time-varying situation information formed by a continuous tracking signal of each target unit in a time period delta T; performing coding completion compression processing on the historical time-varying situation information to obtain effective input data; inputting into a deep learning model for training to obtain a trained deep learning model; and inputting the current intelligence data into the trained deep learning model to obtain a target intention recognition result. A learner is used for mining a global structure, learning representation of potential shared information, mining more global structures from limited battlefield information and discarding low-level information and more local noise, time characteristics of target intelligence information are considered, and a variable-length time sequence processing model is designed for intention classification learning. And an online intention identification effect under incomplete information is realized.

Description

technical field [0001] The invention belongs to the technical field of target intention recognition, and in particular relates to a method and device for online combat intention recognition with incomplete information. Background technique [0002] Situational understanding is the process of interpreting the current situation and identifying the enemy's intentions and combat plans based on the situational feature vector generated by situational awareness, combined with the military knowledge of domain experts. The combat intent recognition of battlefield targets has always been the focus of commanders at all levels, a hot issue in the field of situation assessment, and an important basis for commanders to decide on the next combat action. [0003] With the continuous development of information technology, a large number of reconnaissance detection and sensing equipment are applied to the battlefield, which greatly improves the ability of intelligence reconnaissance and battl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/049G06N3/08G06N3/044G06F18/2414
Inventor 冯旸赫陈丽张驭龙刘忠黄金才程光权杨静
Owner NAT UNIV OF DEFENSE TECH
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