Calculation of deception probability of netted radar based on non-central chi-square distribution
Yue Yuan,
Gang-yi Tu,
Ben Wang and
Ling-ling Wang
International Journal of Distributed Sensor Networks, 2021, vol. 17, issue 7, 15501477211033761
Abstract:
Aiming at the problems of complex factors affecting the rate of deception probability of networked of radar nets, the large amount of calculation by Monte Carlo simulation and the inability to quantitatively analyze the influence of various factors on the deception probability of networked, a calculation method of deception probability of networked is proposed. First, according to the homology measurement method based on the Mahalanobis distance, the probability density model of the deception probability of networked is calculated. Its probability density model obeys the non-central chi-square distribution. Then, a hypothesis test model is established to calculate the deception probability of networked mathematical expression. The simulation results show that the error between the calculation method of the deception probability of networked and the calculation result of 1000 times Monte Carlo is less than 2%. The method in this article can analyze the quantitative effect of false target position, interference distance interval, radar position, true target position, and other factors on the deception probability of networked, instead of Monte Carlo simulation, to provide a trade-off between the true target recognition rate and the deception probability of networked theoretical basis.
Keywords: Netted radar; deception false target; non-central chi-square distribution; deception probability of networked (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/15501477211033761 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:17:y:2021:i:7:p:15501477211033761
DOI: 10.1177/15501477211033761
Access Statistics for this article
More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().