摘要
研究了二维空间有限区域目标探测的最大概率探测点的计算问题。任意分布密度条件下目标的空间发现概率是空间面积上的积分,推导了发现概率对探测点梯度的一元积分的表达式,用于最大发现概率探测点的寻优计算,能够缩短计算时间,提高计算精度。
This dissertation researched calculation problem about the maximum probability of detection points of limited detection area in a two dimensional space. Under the condition of arbitrary distribution density, the discovering probability in space equals to integral on the space area. This thesis deduced one dimension integral expression of discovering probability to detection point of the gradient, which was used to the optimizing calculation of the maximum probability of detection point. It can reduce calculation time and improve calculation accuracy.
出处
《兵器装备工程学报》
CAS
2016年第4期118-122,共5页
Journal of Ordnance Equipment Engineering
关键词
最优搜索
梯度
直升机
吊放声纳
optimal search
gradient
helicopter
dipping sonar