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.

Highlights

  • With the rapid development of modern electronic warfare, active deceptive jamming has great advantages in pertinence, cost-effectiveness, combat flexibility, and so on, so it is widely used

  • The emergence of Digital Radio Frequency Memory (DRFM) enables the active deceptive jamming system[1,2] to quickly copy the received radar signal, generating multiple false targets distributed around the real target, consuming radar system resources, cause the radar system to be overloaded, and even make the radar misjudge the interference as the real target,[3] so the identification of deceptive false targets is of great significance.[4,5,6,7,8]

  • In response to the above problems, this paper proposes a method for calculating the probability of being deceived by a deceptive networked radar based on a non-central chi-square distribution, and establishes a probability density model for the deception probability of a non-central chi-square distribution of a networked radar, and derives the deception probability

Read more

Summary

Introduction

With the rapid development of modern electronic warfare, active deceptive jamming has great advantages in pertinence, cost-effectiveness, combat flexibility, and so on, so it is widely used. Keywords Netted radar, deception false target, non-central chi-square distribution, deception probability of networked In section ‘‘Probability of being deceived by networked radar,’’ a method for calculating the spoofing probability of netted radar based on non-central chi-square distribution is proposed.

Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call