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Air target potential threat degree prediction method and system based on SSA-BP

An air target and prediction method technology, applied in the field of target detection and recognition, can solve the problems of increased threat, imbalance, and target threat value cannot provide reference for situation assessment, etc., to achieve strong competitiveness, prevent underestimation of the enemy, and avoid local minima The effect of superior problems

Pending Publication Date: 2021-05-14
WUHAN UNIV OF SCI & TECH
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Problems solved by technology

Compared with the situation where the two sides have little disparity in strength, in the possible situation where the enemy is strong and we are weak, even if the state of the target remains unchanged, its threat to our side will increase significantly, that is, a "relative imbalance" will appear, resulting in The estimated target threat value cannot effectively provide a reference for situation assessment

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  • Air target potential threat degree prediction method and system based on SSA-BP
  • Air target potential threat degree prediction method and system based on SSA-BP
  • Air target potential threat degree prediction method and system based on SSA-BP

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Embodiment Construction

[0046] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0047] The present invention uses equipment such as radar detectors to collect target information within a period of time to obtain target and time state information of the target, and input the state information within this period of time to the ConvLSTM (Convolutional Long Short-Term Memory, ConvLSTM) neural network to obtain The spatio-temporal characteristics of the target and build a related prediction model to predict its future state information. Inside the cabin, the camera is used to shoot and record the facial expressions of our navigator, and the five categories of anger, sadness, calm, happiness, and excitement are preset, and the convolutional neural network (Convolutional Neural Networks, CNN) is used to extract features and build a classification model. Use the camera to track and analyze the navigator'...

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Abstract

The invention provides an air target potential threat degree prediction method and system based on SSA-BP, and the method comprises the steps: carrying out the information collection of a target, and obtaining the real-time feature data of the air target; predicting to obtain future state data of the air target; identifying emotional information of our pilot at the current moment; constructing a threat degree data set of the air target in two-level fusion of the emotion of the pilot and the features of the air target, and carrying out quantification and normalization processing to obtain a standard target feature-emotion data set; and optimizing a BP neural network structure through a sparrow search algorithm, carrying out fusion analysis on future state data of the target and emotion information of a commander, and obtaining the threat degree of the target at the future moment from the situation levels of the two parties. The efficient threat degree prediction method is constructed from the aspects of two parties, and the method is simple, high in tracking speed, high in interactivity, easy to implement and capable of effectively coping with interference of aerial targets.

Description

technical field [0001] The invention relates to the field of target detection and recognition, in particular to a prediction scheme for potential threat degree of air targets based on a sparrow search algorithm (SparrowSearch Algorithm, SSA) optimized BP (Back Propagation) neural network. Background technique [0002] Target potential threat prediction is the most basic link to realize situation assessment, and it is the potential damage capability of air targets relative to our aircraft. Aerial targets such as birds and drones may pose threats, and the threats to our side must be considered comprehensively based on speed, position, altitude, etc. To solve this problem, the main methods currently used include fuzzy analysis, evidence reasoning, support vector machine, component analysis, multi-attribute decision-making, neural network and other methods, and considerable research results have been obtained. Although there are many methods for assessing the threat level of a ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/30G06Q50/26G06N3/08G06K9/00G06N3/04
CPCG06Q10/04G06Q50/26G06N3/084G06N3/086G06V40/172G06V40/174G06V20/597G06N3/045G06Q50/40
Inventor 刘劲王勋潘超鲁爱国
Owner WUHAN UNIV OF SCI & TECH
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