摘要
为克服伪线性估计方法在纯方位目标跟踪中估计参数的有偏性,提出了一种改进的辅助变量算法.该算法通过曲线拟合前几个时刻的方位角测量序列来获得当前时刻目标方位角的估计值,并将此作为辅助变量,通过最小二乘方法对目标参数进行估计,理论上可以获得目标参数的无偏估计.针对单、双观测站两种不同情况,推导出了系统观测模型,并给出了具体实现步骤.仿真实验的结果表明,与已有的研究相比,该算法具有更快的收敛速度和更高的估计精度,在工程实践中具有广泛的应用.
To overcome the biased estimation of the pseudo-linear algorithm in bearings-only target tracking,a modified instrumental variable algorithm is proposed.In the new algorithm,the current bearings-only estimation angle is acquired by polyfitting several previous bearings angles.Then the estimated angle is used as the instrumental variable to get the motion parameters by applying the leastsquare method.The algorithm can achieve the theoretical unbiased estimation.Simulation results illustrate that the new modified instrumental variable algorithm has a better convergence rate and estimation accuracy than the existing research and that it is more suitable for engineering practice.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2016年第1期167-172,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(51409214
51179157
61461007)
关键词
目标跟踪
伪线性估计
辅助变量
控制理论
target tracking
pseudo-linear estimation
instrumental variable
control theory
