Modeling and Simulation of Radar Networking Anti-stealth Based on the Detection Probability

Authors

Bin Chen, Air Force Engineering University, Xi'an 710051, China;
Chuangming Tong, Air Force Engineering University, Xi'an 710051, China;
Ximin Li, Air Force Engineering University, Xi'an 710051, China;

Abstract

Abstract: For the scene of stealth target penetration against radar network, an evaluation model of detection effectiveness is established by taking the detection probability of the netted radar as an evaluation index. Based on the target's Radar Cross Section (RCS) data, the relationships among the false alarm probability, detection probability and signal to noise ratio are analyzed. A method using signal detection probability of the radar network is proposed with the Rank “K” principle of the fusion center. The RCS of stealth target is analyzed utilizing physical optics and method of equivalent currents. The detection probability of radar network under equilateral triangle and square position is resolved respectively combined with the divided region. The optimal configuration and baseline distance are selected. Theoretical analysis and simulation results prove the applicability and feasibility of proposed configuration.

Recommended Citation

Chen, Bin; Tong, Chuangming; and Li, Ximin (2020) "Modeling and Simulation of Radar Networking Anti-stealth Based on the Detection Probability," Journal of System Simulation: Vol. 29: Iss. 12, Article 22.
DOI: 10.16182/j.issn1004731x.joss.201712022
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss12/22

First Page

3100

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201712022

Last Page

3106

CLC

TN953

Recommended Citation

Chen Bin, Tong Chuangming, Li Ximin. Modeling and Simulation of Radar Networking Anti-stealth Based on the Detection Probability[J]. Journal of System Simulation, 2017, 29(12): 3100-3106.

DOI

10.16182/j.issn1004731x.joss.201712022