摘要
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。
A new approach based on the frequency difference of arrival under long baseline conditions is pro- posed for estimating the vector miss distance parameters of a target. The direct identification of the constant ve- locity 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 op- timal initial value. Taking full advantage of the continuous motion character of the target, the process is parti tioned into several steps. Within these steps, locale pseudo-linear models based on integrated Doppler and loca- tion from range-difference measurements are used to get the estimated values. Meanwhile, the estimated val ues, 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.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第8期1530-1535,共6页
Systems Engineering and Electronics
关键词
参数估计
矢量脱靶量
多普勒频差
积分多普勒
parameter estimation
vector miss distance
frequency difference of arrival （FDOA）
integrat- ed Doppler
