基于动态贝叶斯的反舰导弹弹型识别  

Bomb Recognition of Anti-Ship Missiles Based on Dynamic Bayesian

作　　者：彭军[1] 王庆江[1] 刘振[1] 

机构地区：[1]海军航空工程学院接改装训练大队,山东烟台264001

出　　处：《海军航空工程学院学报》2015年第1期43-47,共5页Journal of Naval Aeronautical and Astronautical University

摘　　要：使用反舰导弹对舰艇进行饱和攻击是当前对舰攻击的主要方式。首先,提出了动态贝叶斯网络(DBN)的理论及算法;其次,根据反舰导弹的高度、速度、过载、机动方式等弹道特性和RCS、雷达频率等导弹自身特性,建立了对反舰导弹进行弹型识别的DBN模型;最后,通过仿真算例验证了DBN模型的有效性,这为实际解决反舰导弹进行弹型识别的问题,提供了一种思路。Saturation attack using anti-ship missile is an important tactical method in high-tech war against warship and can increase missiles penetration probability. The basic idea and the inference algorithm of dynamic Bayesian network （DBN） were given in this paper firstly. After analyzing the height, velocity, overload, maneuver manner of the ballistic trajectory characteristic, the model of DBN was given in consider of the RCS, radar frequency of the missile itself. Simulation results proved the correctness of the proposed model, and the proposed method put forward a new way for the anti-ship recognition.

关 键 词：反舰导弹 弹型识别 动态贝叶斯网络 导弹弹道 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]