Journal of System Simulation ›› 2017, Vol. 29 ›› Issue (12): 3100-3106.doi: 10.16182/j.issn1004731x.joss.201712022

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

Chen Bin, Tong Chuangming, Li Ximin   

  1. Air Force Engineering University, Xi'an 710051, China
  • Received:2015-11-13 Published:2020-06-06

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.

Key words: stealth target, detection probability, radar network, effectiveness' evaluation

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