Threat assessment of air defense in important maritime areas with missing feature data

2021 ◽  
Author(s):  
Yan Wang ◽  
Mansi Li ◽  
Wenfei Zhao ◽  
Shan Xin ◽  
Zhou Lu
Keyword(s):  
Threat Assessment ◽  
Air Defense ◽  
Missing Feature

scholarly journals Comparative Analysis and Development Exploration of Threat Assessment Methods for Warship Air Defense

2019 ◽  
Vol 291 ◽  
pp. 01006
Author(s):  
Pingbo Yu ◽  
Gaofeng Liu ◽  
Li Gong
Keyword(s):  
Comparative Research ◽  
Research Method ◽  
Fuzzy Theory ◽  
Reference Value ◽  
Threat Assessment ◽  
Uncertainty Assessment ◽  
Assessment Method ◽  
Assessment Methods ◽  
Paper Briefly ◽  
Air Defense

Warship’s air defense target threat assessment is an uncertainty issue. This paper briefly states the basic process and types of threat assessment methods for warship air defense, using comparative research method, the mechanism and characteristics of the certainty/uncertainty assessment method for target threat assessment are compared. It also analyzes the application of fuzzy theory, neural network and genetic fuzzy tree in target threat assessment, which has certain reference value for the research of warship air defense target threat assessment.

scholarly journals The improvement of uncertainty measurements accuracy in sensor networks based on fuzzy dempster-shafer theory

2020 ◽  
Vol 6 (2) ◽  
pp. 149
Author(s):  
Ehsan Azimirad ◽  
Seyyed Reza Movahhed Ghodsinya
Keyword(s):  
Sensor Networks ◽  
Threat Assessment ◽  
Defense System ◽  
Computational Accuracy ◽  
Total Uncertainty ◽  
Air Defense ◽  
Fuzzy Membership Functions ◽  
Dempster Shafer Theory ◽  
Basic Probability ◽  
Shafer Theory

Threat Assessment is one of the most important components in combat management systems. However, uncertainty is one of the problems that occur in the input data of these systems that have been provided using several sensors in sensor networks. In literature, there are some theories that state and model uncertainty in the information. One of the new methods is the Fuzzy Dempster-Shafer Theory. In this paper, a model-based uncertainty is presented in the air defense system based on the Fuzzy Dempster-Shafer Theory to measure uncertainty and its accuracy. This model uses the two concepts naming of the Fuzzy Sets Theory, and the Dempster-Shafer Theory. The input parameters to sensors are fuzzy membership functions, and the basic probability assignment values are earned from the Dempster-Shafer Theory. Therefore, in this paper, the combination of two methods has been used to calculate uncertainty in the air defense system. By using these methods and the output of the Dempster-Shafer theory are calculated and presented the uncertainty diagrams. The advantage of the combination of two theories is the better modeling of uncertainties. This makes that the output of the air defense system is more reliable and accurate. In this method, the air defense system’s total uncertainty is measured using the best uncertainty measure based on the Fuzzy Dempster-Shafer Theory. The simulation results show that this new method has increased the accuracy to 97% that is more computational toward other theories. This matter significantly increases the computational accuracy of the air defense system in targets threat assessment.

scholarly journals Air Target Threat Assessment Based on Improved Moth Flame Optimization-Gray Neural Network Model

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Longfei Yue ◽  
Rennong Yang ◽  
Jialiang Zuo ◽  
Hao Luo ◽  
Qiuliang Li
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Threat Assessment ◽  
Learning Performance ◽  
Air Defense ◽  
Powerful Learning ◽  
Proposed Model ◽  
Time Requirements ◽  
Simulation Results

Air target threat assessment is a key issue in air defense operations. Aiming at the shortcomings of traditional threat assessment methods, such as one-sided, subjective, and low-accuracy, a new method of air target threat assessment based on gray neural network model (GNNM) optimized by improved moth flame optimization (IMFO) algorithm is proposed. The model fully combines with excellent optimization performance of IMFO with powerful learning performance of GNNM. Finally, the model is trained and evaluated using the target threat database data. The simulation results show that compared with the GNNM model and the MFO-GNNM model, the proposed model has a mean square error of only 0.0012 when conducting threat assessment, which has higher accuracy and evaluates 25 groups of targets in 10 milliseconds, which meets real-time requirements. Therefore, the model can be effectively used for air target threat assessment.

scholarly journals Threat Assessment Method of Low Altitude Slow Small (LSS) Targets Based on Information Entropy and AHP

Entropy ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. 1292
Author(s):  
Ruining Luo ◽  
Shucai Huang ◽  
Yan Zhao ◽  
Yafei Song
Keyword(s):  
Information Entropy ◽  
Threat Assessment ◽  
Assessment Method ◽  
Mission Planning ◽  
Experimental Simulation ◽  
Detection Capability ◽  
Analytic Hierarchy ◽  
Air Defense ◽  
Low Altitude ◽  
Hierarchy Process

In order to deal with the new threat of low altitude slow small (LSS) targets in air defense operations and provide support for LSS target interception decision, we propose a simple and reliable LSS target threat assessment method. Based on the detection capability of LSS targets and their threat characteristics, this paper proposes a threat evaluation factor and threat degree quantization function in line with the characteristics of LSS targets. LSS targets not only have the same threat characteristics as traditional air targets but also have the unique characteristics of flexible mobility and dynamic mission planning. Therefore, we use analytic hierarchy process (AHP) and information entropy to determine the subjective and objective threat factor weights of LSS targets and use the optimization model to combine them to obtain more reliable evaluation weights. Finally, the effectiveness and credibility of the proposed method are verified by experimental simulation.

scholarly journals Target threat assessment using fuzzy sets theory

2015 ◽  
Vol 1 (2) ◽  
pp. 57 ◽  
Author(s):  
Ehsan Azimirad ◽  
Javad Haddadnia
Keyword(s):  
Fuzzy Sets ◽  
Evaluation System ◽  
Threat Assessment ◽  
Fuzzy Sets Theory ◽  
Target Classification ◽  
Time Dynamic ◽  
Air Defense ◽  
Military Applications ◽  
Sets Theory ◽  
Threat Evaluation

The threat evaluation is significant component in target classification process and is significant in military and non military applications. Small errors or mistakes in threat evaluation and target classification especial in military applications can result in huge damage of life and property. Threat evaluation helps in case of weapon assignment, and intelligence sensor support system. It is very important factor to analyze the behavior of enemy tactics as well as our surveillance. This paper represented a precise description of the threat evaluation process using fuzzy sets theory. A review has been carried out regarding which parameters that have been suggested for threat value calculation. For the first time in this paper, eleven parameters are introduced for threat evaluation so that this parameters increase the accuracy in designed system. The implemented threat evaluation system has been applied to a synthetic air defense scenario and four real time dynamic air defense scenarios. The simulation results show the correctness, accuracy, reliability and minimum errors in designing of threat evaluation system

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