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fire-control
相关语句
  火控
    The Lower Confidence Limit Determination for One Aviation Fire-control System Reliability
    某型航空火控系统可靠度置信下限的确定
短句来源
  火控
    The Lower Confidence Limit Determination for One Aviation Fire-control System Reliability
    某型航空火控系统可靠度置信下限的确定
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This paper deals with the method of describing the accuracy of the fire control system of the antiaircraft weapons during firing and studies the principle and method of the accuracy estimation and testing acording to the features of the error process in that system.In this paper, statistical characteristics of some statistics, such as instantaneous accuracy estimator (?)_i and (?)_i, accuracy estimator in a short time interval (?)(j) and (?)(j), mean accuracy estimator in whole time interval (?) and (?), etc.,...

This paper deals with the method of describing the accuracy of the fire control system of the antiaircraft weapons during firing and studies the principle and method of the accuracy estimation and testing acording to the features of the error process in that system.In this paper, statistical characteristics of some statistics, such as instantaneous accuracy estimator (?)_i and (?)_i, accuracy estimator in a short time interval (?)(j) and (?)(j), mean accuracy estimator in whole time interval (?) and (?), etc., are analyzed. Their distributions and expectations and variances have been deduced.Moreover, an example is cited to explain the procedure in applying the principle stated above.

本文阐述在射击时间区域中,高炮火控系统的精度描述方法,并且根据火控系统的误差过程的特性研究了精度估计与检验的原理方法。文中对瞬时的精度估计(?)_i与(?)_i、一个时间小区段的精度估计(?)(j)与(?)(j)、全时间的平均精度估计(?)与(?)等统计量的统计性质作了分析研究,并推导出它们的分布、期望与方差。此外,列举了实例,说明上述原理应用的具体步骤与方法。

: This paper gives the formule for computing the reliability and MTBF of the hot, cold, warm extension systems, and formulae for estimating the lower confidence limit of reliability for hot extension system. Both of them have found application in the missile fire control system.

通常导弹发控系统的分系统为旁待冗余系统(各分系统〕,本文给出冷、暖、热旁待备分系统的可靠度及平均无故障时间的计算公式,并对热旁待备分系统给出可靠度置信下限的估计公式,应用于某型导弹发控系统中。

The authors analyse the main models of maneuvering targets and their Kalman filtering algorithm,and experiment on a practical algorithm with digital signal processor(DSP).The experiment results show that the tank fire control system adopted uniform velocity motion model will produce more errors,so it's necessary to use other models such as adaptive model.And using DSP to achieve the Kalman filtering algorithm and satisfies the real time need.

分析了现有机动目标数学模型及其卡尔曼滤波算法,并用数字信号处理器(DSP)对1个实际算法进行了实验。实验结果表明,目标机动性能的提高将使坦克火控系统由于采用现行目标运动模型而产生较大的误差。因此,在火控系统中采用其他模型,如自适应模型等,势在必行。同时,对于跟踪精度高,实时计算量大的卡尔曼滤波算法,应用DSP技术实现具有良好的发展前景

 
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