现代雷达防空体系对低空/超低空飞行目标的探测仍然是其弱点之一。被动声传感器网络数据融合理论和技术的快速发展,给这类目标的探测、识别和定位跟踪提供了新的方法。在对被动声传感器工作原理、目标运动模型和方位角检测模型分析的基础上,给出了一种被动声传感器网络模拟器的设计思路,同时给出了其软件平台的实现方法。模拟器考虑了大气环境因素的影响和传感器对目标探测的实时处理能力的要求,产生的仿真数据能够较好地逼近真实数据,为被动声传感器数据融合算法的研究提供了强有力的数据支持。
Low altitude/super low altitude is the weak of modern radar air defense. The development of data fusion theory and technology for passive acoustic sensor (PAS) network, bring the advance method for detecting, identification and location of the targets like that. A method of design and implementation of PAS network simulator is presented after analyzing the PAS principle, target model and bearing-only model. The simulator can provide nearly real simulation data with considering the influence of atmosphere and the capability of sensor real-time computing. So the simulation data can strongly support the research of PAS data fusion algorithm.