Power Allocation Algorithm for Target Tracking in Unmodulated Continuous Wave Radar Network

2015 ◽  
Vol 15 (2) ◽  
pp. 1098-1108 ◽  
Author(s):  
Junkun Yan ◽  
Hongwei Liu ◽  
Bo Jiu ◽  
Zheng Bao
Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5944
Author(s):  
Chenyan Xue ◽  
Ling Wang ◽  
Daiyin Zhu

To solve the problem of dwell time management for multiple target tracking in Low Probability of Intercept (LPI) radar network, a Nash bargaining solution (NBS) dwell time allocation algorithm based on cooperative game theory is proposed. This algorithm can achieve the desired low interception performance by optimizing the allocation of the dwell time of each radar under the constraints of the given target detection performance, minimizing the total dwell time of radar network. By introducing two variables, dwell time and target allocation indicators, we decompose the dwell time and target allocation into two subproblems. Firstly, combining the Lagrange relaxation algorithm with the Newton iteration method, we derive the iterative formula for the dwell time of each radar. The dwell time allocation of the radars corresponding to each target is obtained. Secondly, we use the fixed Hungarian algorithm to determine the target allocation scheme based on the dwell time allocation results. Simulation results show that the proposed algorithm can effectively reduce the total dwell time of the radar network, and hence, improve the LPI performance.


2017 ◽  
Vol 65 (12) ◽  
pp. 3094-3106 ◽  
Author(s):  
Junkun Yan ◽  
Hongwei Liu ◽  
Wenqiang Pu ◽  
Hongliang Liu ◽  
Zheng Liu ◽  
...  

2020 ◽  
Vol 69 (8) ◽  
pp. 5385-5394
Author(s):  
Yipeng Ding ◽  
Guowei Huang ◽  
Junbo Hu ◽  
Zhengmin Li ◽  
Juan Zhang ◽  
...  

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