基于多普勒频差的矢量脱靶量参数估计方法

提出了一种基于长基线条件下利用多普勒频差进行矢量脱靶量参数估计的方法。目标多普勒频率是矢量脱靶量参数的非线性函数，对此函数的求解是一个非线性优化过程，对应优化代价函数的估计参数为6维，寻优迭代过程较复杂，且结果受限于优化初值的选取。算法充分利用了目标的连续特性，将此非线性优化过程进行分步伪线性化处理，利用积分多普勒以及距离差定位方法得到参数估计值，并将此估计值作为非线性优化过程的优化初值，快速、准确地得到参数优化估计值。仿真结果表明该方法可以得到高精度的矢量脱靶量估计结果。

Novel way of vector miss distance parameters estimation based on frequency difference of arrival

A new approach based on the frequency difference of arrival under long baseline conditions is proposed for estimating the vector miss distance parameters of a target.The direct identification of the constant velocity trajectory model from the Doppler signal requires a 6-dimentional nonlinear optimization.The iterative process of this optimization is complex comparatively,and the results are severely limited by the selection of optimal initial value.Taking full advantage of the continuous motion character of the target,the process is partitioned into several steps.Within these steps,locale pseudo-linear models based on integrated Doppler and location from range-difference measurements are used to get the estimated values.Meanwhile,the estimated values,regarded as the initial values of the nonlinear process,can obtain effective results faster and accurately.Simulation results demonstrate the effectiveness and feasibility of the proposed method.