Airborne Single Observer Passive Tracking Algorithm Based on Improved CS Model

摘要：

Aim at solving the problem that the target may exceed acceleration limit, a new passive tracking filtering algorithm based on Current Statistical (CS) model has been proposed. By designing nonlinear fuzzy membership functions, the new Current Statistical model filtering algorithm can adaptively adjust the acceleration upper and lower of CS model. Monte Carlo simulations of maneuvering targets show that the NCS algorithm has a better performance than the traditional CS algorithm.

关键词： airborne single observer passive location maneuvering target new current statistical model EKF

作者: LI WangXi HUANG ChangQiang WANG Yong XUAN YongBo

作者单位: The Engineering College, Air Force Engineering University, Xian, China

会议类型: 国际会议

会议名称: 2011 International Conference on Mechatronics and Applied Mechanics(2011年机电一体化与应用力学国际会议 ICMAM 2011)

会议地点: 香港

会议语种:英文

页码: 136-139

在线出版日期: 2011-12-27（万方平台首次上网日期，不代表论文的发表时间）