A novel resource scheduling method of netted radars based on Markov decision process during target tracking in clutter

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• 作者：Zhenkai Zhang ; Yubo Tian
• 关键词：Power control ; Radio frequency stealth ; Target tracking ; Sampling interval ; Waveform selection
• 刊名：EURASIP Journal on Advances in Signal Processing
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：2016
• 期：1
• 全文大小：1,021 KB
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• 作者单位：Zhenkai Zhang (1) (2)
  Yubo Tian (1)
  
  1. College of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang, People’s Republic of China
  2. Centre for Communication Systems, Durham University, Durham, UK
  
• 刊物主题：Signal, Image and Speech Processing;
• 出版者：Springer International Publishing
• ISSN：1687-6180

文摘

In order to improve the radio frequency stealth ability of phased array radars, a novel resource scheduling method of the radar network for target tracking in clutter is presented. Firstly, the relationship model between radar resource and tracking accuracy is built, and the sampling interval, power, and waveform will influence predicted error covariance matrix through transition matrix and measurement noise. Then, radar resource scheduling algorithm based on Markov decision process which is converted to be a binary optimization problem is proposed, and an improved binary wind-driven optimization method is presented to solve that problem. The radar and its radiation parameters will be selected for better radio frequency stealth performance and tracking accuracy. Simulation results show that the proposed algorithm not only has excellent tracking accuracy in clutter but also has better radio frequency stealth ability comparing with other methods. Keywords Power control Radio frequency stealth Target tracking Sampling interval Waveform selection