Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (3): 500-509.doi: 10.23919/JSEE.2020.000030

• Defence Electronics Technology • Previous Articles     Next Articles

An adaptive dwell time scheduling model for phased array radar based on three-way decision

Bo LI1,*(), Linyu TIAN1(), Daqing CHEN2(), Shiyang LIANG1()   

  1. 1 School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China
    2 School of Engineering, London South Bank University, London SE1 0AA, UK
  • Received:2019-04-17 Online:2020-06-30 Published:2020-06-30
  • Contact: Bo LI E-mail:libo803@nwpu.edu.cn;tly19960919@163.com;chend@lsbu.ac.uk;17802933853@163.com
  • About author:LI Bo was born in 1978. He received his B.S. degree in electronic information technology, M.S. and Ph.D. degrees in systems engineering from Northwestern Polytechnical University, Xi'an, China. He is currently an associate professor with the School of Electronics and Information, Northwestern Polytechnical University. His current research interests include intelligent command and control, deep rein-forcement learning and uncertain information pro-cessing. E-mail: libo803@nwpu.edu.cn|TIAN Linyu was born in 1996. She received her B.S. degree in detection guidance and control technology from Northwestern Polytechnical University, Xi'an, China. She is currently a postgraduate student with the School of Electronics and Information, Northwestern Polytechnical University. Her current research interest is intelligent command and control. E-mail: tly19960919@163.com|CHEN Daqing was born in 1959. He received his B.S. degree from Xidian University, Xi'an, China. He is currently a professor with the School of Engineering, London South Bank University, London, UK. His current research interest is data mining. E-mail: chend@lsbu.ac.uk|LIANG Shiyang was born in 1997. She received her B.S. degree in detection guidance and control technology from Northwestern Polytechnical University, Xi'an, China. She is currently a postgraduate student with the School of Electronics and Information, Northwestern Polytechnical University. Her current research interest is deep reinforcement learning. E-mail: 17802933853@163.com
  • Supported by:
    the Aeronautical Science Foundation of China(2017ZC53021);the Open Project Fund of CETC Key Laboratory of Data Link Technology(CLDL-20182101);This work was supported by the Aeronautical Science Foundation of China (2017ZC53021) and the Open Project Fund of CETC Key Laboratory of Data Link Technology (CLDL-20182101)

Abstract:

Real-time resource allocation is crucial for phased array radar to undertake multi-task with limited resources, such as the situation of multi-target tracking, in which targets need to be prioritized so that resources can be allocated accordingly and effectively. A three-way decision-based model is proposed for adaptive scheduling of phased radar dwell time. Using the model, the threat posed by a target is measured by an evaluation function, and therefore, a target is assigned to one of the three possible decision regions, i.e., positive region, negative region, and boundary region. A different region has a various priority in terms of resource demand, and as such, a different radar resource allocation decision is applied to each region to satisfy different tracking accuracies of multi-target. In addition, the dwell time scheduling model can be further optimized by implementing a strategy for determining a proper threshold of three-way decision making to optimize the thresholds adaptively in real-time. The advantages and the performance of the proposed model have been verified by experimental simulations with comparison to the traditional two-way decision model and the three-way decision model without threshold optimization. The experiential results demonstrate that the performance of the proposed model has a certain advantage in detecting high threat targets.

Key words: phased array radar resource scheduling, three-way decision, threat assessment