火力与指挥控制Issue(12)：31-34,38,5.
基于H∞滤波的3D雷达与2D雷达误差配准方法
Bias Alignment Method of 3D Radar and 2D Radar Based on H∞Filter Algorithm
摘要
Abstract
Aimed at the difficulty to register 3D radar and 2D radar directly in engineering applica- tion,a novel estimation method of target states and sensor bias based on H∞filter and current statistical model (CSHF) is proposed. H∞ filter is used to estimate target states and sensor bias simultaneously based on current statistical model.The disadvantage of the model depending on maximum acceleration is overcome and estimated results are still stable under the condition that the target motion model and statistical characteristics of process noise are unknown. Simulation results show that the algorithm outperforms bias alignment method of 3D radar and 2D radar based on Real-time Kalman Filter(RTKF),but also it is not affected by the target motion model.关键词
误差配准/H∞滤波/当前统计模型/卡尔曼滤波Key words
bias alignment/H∞filter/current statistical model/Kalman Filter分类
信息技术与安全科学引用本文复制引用
张宇,王国宏,陈垒..基于H∞滤波的3D雷达与2D雷达误差配准方法[J].火力与指挥控制,2013,(12):31-34,38,5.基金项目
国家自然科学基金（61032001）“；泰山学者”建设工程专项经费基金资助项目 （）
