摘要
潜艇的水下运动轨迹对于反潜作战有着重要的意义。实际反潜作战时,潜艇的水下位置依靠预先感知信息进行判断,仅能得到其大致区域,无法获得详细的潜艇运动参数。本文立足于水下潜艇运动要素的分布规律,研究了要素间多维随机变量生成算法。结合此算法,产生了水下潜艇的常规运动航迹以及规避运动航迹。在已知潜艇部分先验信息的情况下,对水下潜艇的运动进行仿真,并验证了随机变量波动带来的虚拟航迹与真实航迹的偏差。
In anti-submarine, the movement of sumarine underwater is very important and the loca- tion of submarine underwater is rely on the priori information only. Actually, it＇ s difficult to get the accu- rate parameter of submarine underwater but only get the probable area. Based on the regularities of distri- bution for the underwater submarine, this article studies the multiple random variable generating algo- rithm. Combining this algorithm, the conventional and evade movement track under water are generated. In the part of known the prior information, the submarine movement is simulated, and the deviation be- tween virtual path and real path which caused by the fluctuation of random variable is verified.
出处
《航空兵器》
2013年第6期49-52,共4页
Aero Weaponry
关键词
潜艇
反潜作战
生成航迹
水下运动
submarines
anti-submarine
generate track
underwater
