摘要
在海上动目标精确打击决策中,针对从发现、识别目标到摧毁目标的延迟时间长,缺乏最佳打击点决策依据的问题,在分析海上动目标的航行特点的基础上,对卡尔曼滤波算法进行了适应性改进,实时预测和修正海上动目标的位置和速度的联合概率分布;结合对延迟时间、杀伤效能等要素的分析,对计算结果进行人性化抽象,为决策者提供可靠的人工智能辅助决策依据。
In order to solve the problem of long delay time from finding and identifying targets to destroying targets and lack of decision-making basis of the best strike point,this paper analyzes the navigation characteristics of moving targets on the sea,improves the adaptability of Kalman filter algorithm,predicts and corrects the joint probability distribution of position and velocity of moving targets on the sea in real time;By analyzing the factors such as delay time and destruction efficiency,the calculation results are abstracted with humanizing,which provides decision-makers with a reliable artificial intelligence aided decision making basis.
作者
王拓
朱德政
于翔
Wang Tuo;Zhu Dezheng;Yu Xiang(The 28th research institute of China electronics technology group corporation,Nanjing,Jiangsu 210000,China)
出处
《计算机时代》
2021年第4期1-3,7,共4页
Computer Era
关键词
海上动目标
精确打击
人工智能
决策理论
moving target on the sea
precision strikes
artificial intelligence
decision theory
