摘要
将全局收敛策略与高斯-牛顿法相结合,得到了解决非线性最小二乘问题的改进高斯-牛顿法;并将该方法应用于静止目标纯距离测量下的参数估计问题;仿真试验表明,改进后的高斯-牛顿方法对测量误差不敏感,具有更快的收敛速度和更高的精度。
The convergent method is combined with the Gauss-Newton iterative algorithm and an improved Gauss-Newton method for nonlinear least square is achieved.It is applied to parameter estimation for stationary target with range-only measurements.The simulation experiment results demonstrate that the improved method is not insensitive to measurement noise and has better convergence rate and precision.
出处
《火力与指挥控制》
CSCD
北大核心
2010年第4期147-149,154,共4页
Fire Control & Command Control
基金
"十一五"预研基金资助项目(513040203)
