基于多步新息的机动检测方法

摘要

为提高末端防御系统对高速机动反舰导弹的处理能力,一种方法是提高武器系统目标跟踪数据率,使火控解算能够获得更多的目标信息,但数据采样率的提高会降低传统机动检测中单步窗口量测的信噪比.为此,提出了基于多步新息预测的机动检测算法.该算法利用当前量测值与多步预测值信息,并采用基于衰减记忆的机动检测方法,通过仿真计算方式,给出了最小机动检测延迟时间与衰减系数,以及与预测步长的关系;同时该方法还可有效降低检测虚警率.%One way to improve the processing capability for high-speed mobile anti-ship missiles is to improve the target data tracking rate,so that the Fire Control System can obtain more target information,but the improvement of the data sampling rate will reduce. The signal-to-noise ratio of single-step window measurement by the traditional maneuver detection algorithm. In this paper,a maneuver detection algorithm based on multi-step prediction is proposed. The algorithm uses the current measurement value and the multi-step prediction value information,and uses the maneuver detection method based on attenuation memory. Through the simulation calculation method,the relationship between the minimum maneuver detection delay time and the attenuation coefficient,and the prediction step are given. At the same time,the method can also effectively reduce the detection of false alarm rate.