Title :
Method of Optimal Deployment for Radar Netting Based on Detection Probability
Author :
Yang Longpo ; Xiong Jiajun ; Cui Jian
Author_Institution :
Dept. of Early Warning Surveillance Intell., AFRA, Wuhan, China
Abstract :
The optimal deployment for radar netting must treat of many factors that ristrict the capbility of radar network. Traditional decision-making model only considered the maximum detecting range of radar, the conditions used are simple. So, the optimal deployment schemes got by these models are not applicable to modern battle environment.Now, Electronic jamming, Anti-radiation missiles, Stealth targets and the Lowlevel attack of High Speed and High Maneuvering Target have become the "The four major threats" which Radar need be faced with. According to the four countering abilities, this paper establishes the decision-making model based on the detection probablity. And it gives the modeling method using the genetic algorithm. The result indicates that the modle is efficient.
Keywords :
genetic algorithms; radar detection; radar tracking; target tracking; anti-radiation missiles; decision-making model; detection probability; electronic jamming; high maneuvering target; high speed target; lowlevel attack; maximum detecting range; optimal deployment; radar netting; radar network; stealth targets; Buildings; Decision making; Face detection; Frequency; Genetic algorithms; Intelligent networks; Jamming; Missiles; Radar detection; Surveillance;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5364961