摘要
针对曲线拟合的时间配准算法存在窗口长度选择的问题,提出了一种基于运动模式转变的自适应窗口长度选择算法.将目标运动模式分为类直线运动和曲线运动两种模式,通过对每个数据点目标运动轨迹斜率的近似运算,确定运动模式突变点以及目标在时间配准点的运动模式,从而自适应地确定配准点窗口长度.仿真结果验证了文中算法在大时延、目标大机动条件下仍然具有较强的可靠性.
Aimed at the problem of the window length chosen in the time registration algorithm based on curve fitting , an adaptive window length chosen algorithm based on the mode of the movement of a target is proposed . The movement of the target is divided into like-linear mode and curvilinear mode , and the slope of the trace of the target at each data point is calculated , so the state breaking point and the mode of movement at the point of time registration can be confirmed and the length of the window is chosen adaptively . Large numbers of simulations show the reliability of this algorithm under the condition of time delay and the maneuvering target .
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2014年第3期209-213,共5页
Journal of Xidian University
关键词
时间配准
曲线拟合
数据融合
多传感器
time registration
curve fitting
data fusion
multi-sensor