摘要
针对纯方位系统下扩展卡尔曼滤波等递推算法性能不稳定,最小二乘定位算法计算量大、实时性差的特点,提出了一种改进的最小二乘定位算法。该算法根据目标与平台之间的几何关系得到一个包含目标初始位置和分量速度的伪线性方程组。为减少求解方程组的计算量,保证定位的实时性,对常规的最小二乘法进行了加滑窗处理,并进一步将方程组的解表示为递推形式。仿真实验验证了算法的有效性,并比较了平台做不同机动运动的定位性能,给出了满足一定精度时平台的机动策略。
In view of the unstable performance of recursion method,such as expand Kaman filter,large amount of calculation and poor real-time performance of least squares localization algorithm,this paper puts forward an improved least square method.The algorithm based on the geometric relationships between the target and platforms gets a pseudo linear system of equations including the initial position and velocity of target.To reduce the amount of calculation for solving system of equations and ensure real-time positioning,the paper deal with the conventional least square method in a sliding window way,and further expressed the solution of equations as the recursive form.Simulations experiments verify the effectiveness of the algorithm,compared the positioning performance when platform doing different maneuvering,giving the mobile strategy that can obtain the position performance.
出处
《中国电子科学研究院学报》
北大核心
2015年第5期557-562,共6页
Journal of China Academy of Electronics and Information Technology
基金
教育部新世纪优秀人才支持计划(NCET-11-0872)
关键词
无源定位
纯方位系统
最小二乘法
滑窗式
passive location
bearings-only system
least square method
sliding window way
