多基纯方位目标交叉定位中的非线性最小二乘方法

纯方位目标定位方法广泛应用于被动探测系统中,通常采用最小二乘方法对多基平台交叉定位结果进行估计定位.在纯方位定位估计中的最小二乘方法主要采用线性近似法,但难以满足实用中的非线性特性,因此导致定位精度难以提高.从非线性估计出发,利用牛顿迭代的非线性最小二乘估计算法对交叉定位结果进行估计,保留了二阶以上的观测误差,迭代趋于收敛.仿真结果表明与线性近似法相比,牛顿迭代法提高了定位精度,增强了定位稳定性,有效地改善了多基纯方位目标定位系统的定位性能.

Bearing-Only Target Cross Location of Multi-Station based on Nonlinear Least Squares

The technology of Bearing-Only Target Loction is extensively applied to the passive detection system,which usually adopts the method of least squares in order to estimate the result of location of multi-station.This technology is mostly use of the approach of linear approximation,which cannot deal with the nonlinear nature in applications.We propose a Newton iterative algorithm for the estimation of nonlinear least squares to estimate the cross location results,which retains second order observation error a...