基于光电侦察仪的多测角实时数据融合方法研究

Real-time Data Fusion Method Research Based on Multi Distance Measurement of Scout Radar

摘要:

针对传统“L公式法”和“平均值法”进行数据融合时利用测试数据不充分、没有考虑测试误差影响等局限性,文章提出一种基于多测角融合的光电侦察仪组网实时数据融合方法；在最小二乘准则下,建立了光电侦察仪组网融合模型,并对模型求解涉及的待估参数初值选择、权系数矩阵确定和融合精度等问题进行深入研究；通过仿真实验,对文章所提方法的实时性和精度进行有效验证,对不同布站数量下的融合效果进行了对比分析；最后,得出待估参数选择原则、权系数矩阵确定原则和布站数量要适中的结论。

Abstract:

Aiming at the shortcoming of traditional “L formula method” and “average method” not sufficiently use measurement data and not consider the error influence, this paper advances real-time data fusion method based on multi angle measurement of photoelectricity scout instrument. Under least squares rule, building networking fusion model of photoelectricity scout instrument, pays more attention to the problem of initial value choice of appraised parameter, determination of weight coefficient matrix and fusion precision. By means of simulations and analysis, it has been proved that this method improves the precision and real-time, and compares and analyses the fusion effect in situation of different station distribution quantity. Finally, draws the conclusion of choosing principle of initial value of appraised parameter, calculation principle of weight coefficient matrix and number of station distribution being proper.