Welcome to Acta Armamentarii ! Today is

Acta Armamentarii ›› 2017, Vol. 38 ›› Issue (9): 1761-1770.doi: 10.3969/j.issn.1000-1093.2017.09.013

• Paper • Previous Articles     Next Articles

Task Scheduling of Phased Array Radar Based on Hybrid Adaptive Genetic Algorithm

ZHANG Hao-wei1, XIE Jun-wei1, ZHANG Zhao-jian1, ZONG Bin-feng2, CHEN Tang-jun3   

  1. (1.Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, Shaanxi, China;2.Unit 94710 of PLA, Wuxi 214000, Jiangsu, China;3.Unit 94921 of PLA, Jinjiang 362200, Fujian, China)
  • Received:2017-01-03 Revised:2017-01-03 Online:2017-11-03

Abstract: A hybrid adaptive genetic algorithm is proposed for the task scheduling of phased array radar. An optimal scheduling model for phased array radar is established. The performance and efficiency of the algorithm are improved by optimizing the initial population by the chaos theory, adopting the selection strategy of elite reservation and mixed ranking, and designing the adaptive crossover and mutation operators. A heuristic pulse interleaving algorithm is presented based on the adaptive genetic algorithm. It could utilize the waiting period in a task to execute the transmitting period or receiving period of other task. The simulated results demonstrate that the proposed algorithm provides better results and search solutions more quickly than the genetic algorithm. Moreover, compared with the heuristic scheduling algorithm, the proposed algorithm improves the scheduling success ratio, time utilization ratio and high value ratio, and decreases the average time shift ratio efficiently. Key

Key words: ordnancescienceandtechnology, phasedarrayradar, scheduling, adaptivegeneticalgorithm, chaostheory, pulseinterleaving

CLC Number: