Task scheduling of improved time shifting based on genetic algorithm for phased array radar

2016 ◽  
Author(s):  
Lu Hao ◽  
Xiaopeng Yang ◽  
Shangkun Hu
Keyword(s):  
Genetic Algorithm ◽  
Task Scheduling ◽  
Phased Array ◽  
Phased Array Radar

A hybrid adaptively genetic algorithm for task scheduling problem in the phased array radar

2019 ◽  
Vol 272 (3) ◽  
pp. 868-878 ◽  
Author(s):  
Haowei Zhang ◽  
Junwei Xie ◽  
Jiaang Ge ◽  
Zhaojian Zhang ◽  
Binfeng Zong
Keyword(s):  
Genetic Algorithm ◽  
Task Scheduling ◽  
Phased Array ◽  
Scheduling Problem ◽  
Phased Array Radar

scholarly journals Phased-Array Radar Task Scheduling Method for Hypersonic-Glide Vehicles

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 221288-221298
Author(s):  
Fanqing Meng ◽  
Kangsheng Tian
Keyword(s):  
Task Scheduling ◽  
Phased Array ◽  
Phased Array Radar ◽  
Scheduling Method

scholarly journals A Task Scheduling Algorithm for Phased-Array Radar Based on Dynamic Three-Way Decision

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 153
Author(s):  
Bo Li ◽  
Linyu Tian ◽  
Daqing Chen ◽  
Yue Han
Keyword(s):  
Task Scheduling ◽  
Phased Array ◽  
Scheduling Algorithm ◽  
Potential Threat ◽  
Phased Array Radar ◽  
Task Scheduling Algorithm ◽  
Threat Level ◽  
The Difference ◽  
High Threat ◽  
Time Resource

The time resource management of phased-array radars is the key to fulfilling their performance, such as how phased-array radar can efficiently and reasonably schedule tasks under limited resources. Therefore, this paper proposes a task scheduling algorithm for phased-array radar based on dynamic three-way decision. The algorithm introduces three-way decision into the scheduling algorithm and divides the target into three threat areas according to the threat degree (i.e., threat area, nonthreat area, and potential threat area). Different threat domains are assigned different weights and combine the working mode and the task deadline to carry out comprehensive priority planning, so that the radar can reasonably allocate time according to the difference of the target threat level and the threat area in the tracking stage. In addition, an improved adaptive threshold algorithm is proposed to obtain a dynamic three-way decision to achieve the adaptation of the algorithm. A set of performance indicators have been defined to evaluate the algorithm. The relevant experiments have demonstrated that the proposed algorithm can effectively improve the processing capability of phased-array radars when dealing with high-threat targets.

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