Threat assessment in tactical airborne environments

Nguyen, X.T.

doi:10.1109/icif.2002.1020963

Cited by 33 publications

(17 citation statements)

References 12 publications

(15 reference statements)

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“…Unlike capability (which is rather straight forward to assess), intent is generally more difficult to assess, since deciding whether a target is exhibiting intent is often very subjective (residing in the cognitive domain) [81]. However, factors that may be considered when assessing the intent of a target include its velocity, heading (course and bearing) and altitude with respect to the DA, the detection of emissions from its Fire Control (FC) radar, the estimation of its possible courses of action (attack techniques) based on its pattern of movement and the events and activities in which it has participated, as well as recognition of its use of deception or tactics to evade being detected or tracked [75,78,81,91,88].…”

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confidence: 99%

Threat evaluation and weapon assignment decision support: A review of the state of the art

Roux

Vuuren

2007

ORiON

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In a military environment an operator is typically required to evaluate the tactical situation in real-time and protect defended assets against enemy threats by assigning available weapon systems to engage enemy craft. This environment requires rapid operational planning and decision making under severe stress conditions, and the associated responsibilities are usually divided between a number of operators and computerized decision support systems that aid these operators during the decision making processes. The aim in this paper is to review the state of the art of this kind of threat evaluation and weapon assignment decision support process as it stands within the context of a ground based air defence system (GBADS) at the turn of the twenty first century. However, much of the contents of the paper may be generalized to military environments other than a GBADS one.

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confidence: 99%

Threat evaluation and weapon assignment decision support: A review of the state of the art

Roux

Vuuren

2007

ORiON

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“…Assume a(u) = a(u) +jaQ(U) (13) and n(u) = nl(u) + jnQ(u) follows zero-mean complex Gaussian distribution with variance a2 for the I and Q subchannels.…”

Section: Maximum Likelihood Algorithm For Rcs Parametermentioning

confidence: 99%

“…In [5], an intelligent threat assessment processor using genetic algorithms and fuzzy logic was proposed. In [13], threat assessment was studied in tactical airborne environments. In [6], neural network was applied to threat assessment for automated visual surveillance.…”

Section: Introductionmentioning

confidence: 99%

KUPS: Knowledge-based Ubiquitous and Persistent Sensor networks for Threat Assessment

Liang

2006

Milcom 2006

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In this paper, we propose a Knowledge-based Ubiquitous and Persistent Sensor networks (KUPS) for threat assessment, of which "sensor" is a broad characterization concept. It means diverse data or information from ubiquitous and persistent sensor sources such as organic sensors and human intelligence sensors. Our KUPS for threat assessment consists of two major steps: threat detection using fuzzy logic systems and threat parameter estimation using radar sensor networks. Our fuzzy logic systems can combine the linguistic knowledge from different intelligent sensors. We propose a maximum-likelihood (ML) estimation algorithm for target RCS parameter estimation, and we show that our ML estimator is unbiased and the variance of parameter estimation matches the Cramer-Rao lower bound. Simulations further validate these theoretical results.

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“…The variety of parameters are proposed and used by researchers for threat evaluation [3], [4], [6], [22], [34], [28]- [33]. These parameters have varying degree of effect on the threat value.…”

Section: Parameters For Threat Assessmentmentioning

confidence: 99%

Target threat assessment using fuzzy sets theory

Azimirad

Haddadnia

2015

Int. J. Adv. Intell. Informatics

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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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Threat assessment in tactical airborne environments

Abstract: Abstract

Cited by 33 publications

References 12 publications

Threat evaluation and weapon assignment decision support: A review of the state of the art

Threat evaluation and weapon assignment decision support: A review of the state of the art

KUPS: Knowledge-based Ubiquitous and Persistent Sensor networks for Threat Assessment

Target threat assessment using fuzzy sets theory

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