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Estimation of line-of-sight rate in a homing Missile Guidance loop using optimal filters

机译:使用最优滤波器估算归巢导弹制导回路中的视线速率

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The concept of noise is very important in a Missile Guidance system. In radar homing tactical missile the seeker measurement of line-of-sight (LOS) rate signal required for the implementation of proportional navigation guidance is not perfect, but it is corrupted by noise. To extract the signal from the measurement an understanding of the concept of noise and its various properties will be analyzed in this paper. Therefore in order to derive the line-of-sight rate estimate required by proportional navigation guidance, it is necessary to use a digital noise filter in an onboard missile guidance system. These filters are constant gain filters known as fading memory filters to derive the line-of-sight rate estimate. By considering various cases and simulation trails some of the properties of digital fading memory filters and their influence on system performance will be investigated in this paper as these fading memory filters will serve as the foundation for more advanced digital filters known as Kalman filters. This paper brings forth an approach to estimate and smooth the LOS rate and also to estimate target maneuver by using second and third order fixed gain filters.
机译:噪声的概念在导弹制导系统中非常重要。在雷达寻的战术导弹中,执行比例导航制导所需的视距(LOS)速率信号的导引器测量并不完美,但会因噪声而损坏。为了从测量中提取信号,本文将分析噪声的概念及其各种特性。因此,为了获得比例导航制导所要求的视线速率估计,有必要在机载导弹制导系统中使用数字噪声滤波器。这些滤波器是恒定增益滤波器,称为衰落存储器滤波器,用于得出视线速率估计。通过考虑各种情况和仿真轨迹,本文将研究数字衰落存储器滤波器的某些特性及其对系统性能的影响,因为这些衰落存储器滤波器将作为称为卡尔曼滤波器的更高级数字滤波器的基础。本文提出了一种方法,可以通过使用二阶和三阶固定增益滤波器来估计和平滑LOS率,并可以估计目标机动性。

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