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首页> 外文会议>Fifteeth SSI(Space Studies Institute)/Princeton Conference on Space Manufacturing May 7-9, 2001 null >APPLICATION OF FUNCTIONAL TIME BASED COMPRESSION TO SATELLITE TELEMETRY
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APPLICATION OF FUNCTIONAL TIME BASED COMPRESSION TO SATELLITE TELEMETRY

机译：功能时间压缩在卫星遥测中的应用

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摘要

Usually, the evolution of a signal is described using a table that provides raw time and signal measurements (time can be implicit). Such a representation has a high a priori redundancy. Standard data compression methods preserve the tabular format, and therefore do not reduce the a priori redundancy. Functional time-based compression (FTC) is designed to reduce (and for all practical purposes minimize) this redundancy by replacing raw data with a few coefficients that are obtained through curve fitting. The independent variable is time. In other words, FTC represents signals as functions of time. FTC can be used for both transmission and storage of non-random data. To show the potential of this method, FTC was applied to Extreme Ultraviolet Explorer (EUVE) telemetry. Satellite telemetry links use the conventional table format to transmit time and sensor measurements. FTC replaces bulky tables of ephemeris, Sun sensor and magnetometer measurements with coefficients for Legendre polynomials. The ground station would the retrieve original measurements calculating the values of Legendre polynomials at desired times. These polynomial functions that are time-based, describe the evolution of various signals for up to several minutes. Results show that FTC reduces storage capacity or transmission bandwidth by an order of magnitude, while assuring verbatim representation of data. For higher reduction, compression should be combined with data smoothing.
机译：通常，使用提供原始时间和信号测量值（时间可以是隐含的）的表来描述信号的演变。这样的表示具有较高的先验冗余。标准数据压缩方法保留表格格式，因此不会减少先验冗余。基于功能的基于时间的压缩（FTC）旨在通过将原始数据替换为通过曲线拟合获得的一些系数来减少（并在所有实际用途中将这种冗余最小化）。自变量是时间。换句话说，FTC将信号表示为时间的函数。 FTC可用于传输和存储非随机数据。为了展示这种方法的潜力，将FTC应用于Extreme Ultraviolet Explorer（EUVE）遥测技术。卫星遥测链路使用常规表格格式来传输时间和传感器测量值。 FTC用勒让德多项式的系数代替了大的星历表，太阳传感器和磁力计测量表。地面站将检索原始测量值，以在所需时间计算勒让德多项式的值。这些基于时间的多项式函数描述了长达几分钟的各种信号的演变。结果表明，FTC将存储容量或传输带宽降低了一个数量级，同时确保了数据的逐字表示。为了获得更高的压缩效果，应将压缩与数据平滑结合起来。

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