CAJ | 학술논문

首先提出了基于激波信号的超音速目标被动声定位模型,针对多超音速目标被动声定位研究存在的困难,提出了一种基于遗传算法的多目标定位技术,解决了多目标被动声定位时的虚假目标问题.通过采用多测量站信息融合的方法,解决了定位系统对某些方向的目标存在探测精度低的问题.系统仿真结果表明,该方法可以提高定位系统的精度和可靠性.
수선제출료기우격파신호적초음속목표피동성정위모형,침대다초음속목표피동성정위연구존재적곤난,제출료일충기우유전산법적다목표정위기술,해결료다목표피동성정위시적허가목표문제.통과채용다측량참신식융합적방법,해결료정위계통대모사방향적목표존재탐측정도저적문제.계통방진결과표명,해방법가이제고정위계통적정도화가고성.
A passive acoustic locating model of supersonic target is proposed in this paper.Considering difficulty of the research on multi-target locating,a method based on Genetic Algorithm(GA) is presented to remove influence of false targets.The technique of multi-station is employed to enhance locating accuracy by information fusion.Simulation results indicate that the method suggested in this work can achieve optimal locating accuracy and reliability.