激光导航系统光电探测器矩阵上信号的随机模拟

IF 0.5 4区 数学 Q4 MATHEMATICS, APPLIED Russian Journal of Numerical Analysis and Mathematical Modelling Pub Date : 2023-02-01 DOI:10.1515/rnam-2023-0002
E. Kablukova, V. Oshlakov, S. Prigarin
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引用次数: 0

摘要

摘要构造了飞机导航系统中到达光电探测器矩阵信号的随机仿真算法。在飞机着陆导航系统运行过程中,导航系统的激光束方向与决定飞机安全着陆的滑翔路径重合。放置在飞机上的两个光电探测器单元确定飞机在坐标系统中的滑行路径位置,这允许人们在能见度低的情况下调整跑道上触点的位置。在这种情况下,导航系统接收机记录的辐射的功率和角分布的估计是一个相关的问题。此外,还研究了不同倍数的散射对记录信号的影响。这里开发的算法是基于直接统计建模(碰撞估计)和蒙特卡罗方法的局部估计。计算结果表明,所提出的方法可以评估激光导航系统在各种条件下的效率。
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Stochastic simulation of a signal on a photodetector matrix of a laser navigation system
Abstract Algorithms for stochastic simulation of the signal arriving at the photodetector matrix of the aircraft navigation system are constructed. During the operation of the aircraft landing navigation system, the laser beam of the navigation system coincides in its direction with the glide path determining safe landing. Two photodetector units placed on board of the aircraft determine the glide path position in the coordinate system of the aircraft, which allows one to adjust the position of the touch point on the runway in poor visibility conditions. In this case, the estimation of the power and angular distributions of radiation recorded by the receiver of the navigation system is a relevant problem. In addition, it is interesting to study the effect of scattering of various multiplicities on the recorded signal. The algorithms developed here are based on direct statistical modelling (estimation over collisions) and local estimates of the Monte Carlo method. The calculations show that the proposed methods allow us to evaluate the efficiency of the laser navigation system in various conditions.
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来源期刊
CiteScore
1.40
自引率
16.70%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Russian Journal of Numerical Analysis and Mathematical Modelling, published bimonthly, provides English translations of selected new original Russian papers on the theoretical aspects of numerical analysis and the application of mathematical methods to simulation and modelling. The editorial board, consisting of the most prominent Russian scientists in numerical analysis and mathematical modelling, selects papers on the basis of their high scientific standard, innovative approach and topical interest. Topics: -numerical analysis- numerical linear algebra- finite element methods for PDEs- iterative methods- Monte-Carlo methods- mathematical modelling and numerical simulation in geophysical hydrodynamics, immunology and medicine, fluid mechanics and electrodynamics, geosciences.
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