通信航天器数字距离测量

S. Panko, V. Sukhotin, A. V. Khnykin, I. Tikhonenko
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引用次数: 1

摘要

卫星信息和电信系统的技术和算法实施的复杂性不断增加,对其特性的要求也不断增加,这与新频率范围的发展(向使用更高频率的过渡)、数据传输速率(信道容量)的增加以及由于用户数量的增加而导致的信道压缩有关。为了保证信息传递的高速度和最小的可接受误差概率,高精度的航天器当前坐标知识是一个重要的因素。测量航天器航程的一个非常普遍的原则的核心是根据众所周知的原则估计接收信号相对于发射信号的延迟。为了解决这一问题,数字方法是目前应用最广泛的方法。本文讨论了计算与期望范围成比例的时间间隔的量化误差的方法,考虑到转换时间间隔序列(其持续时间与范围成比例的脉冲)的前沿和切片的时间位置的任意相关性。如果量化序列频率的最大允许值是有限的,则可以通过考虑噪声的影响来减小量化误差的均方根值。如果自然波动的功率不足,那么我们可以建议引入输入信号的附加(人工)噪声,这是量化时间间隔形成的来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Range Measurement of Telecommunication Spacecraft
A continuous increasing of the complexity of the technical and algorithmic implementation of satellite information and telecommunication systems and an increasing on the requirements for their characteristics is associated with the development of new frequency ranges (the transition to the use of ever higher frequencies), with an increasing in the data transfer rate (channel capacity) and with compaction a channels due to the increasing on the number of subscribers. To ensure a high speed of information transfer and a minimum acceptable probability of error, one of the important factors is high-precision knowledge of the current coordinates of the spacecraft. At the heart of one very common principle of measuring the range of a spacecraft is an estimate of the delay of the received signal relative to the emitted in accordance with well-known principles. In order to solve this problem, digital methods are currently the most widely used. The article discusses the methodology for calculating the quantization error of a time interval proportional to the desired range, taking into account an arbitrary correlation of the time position of the fronts and slices of a sequence of converted time intervals (pulses whose duration is proportional to range). If the maximum permissible value of the frequency of the quantizing sequence is limited, the rms value of the quantization error can be reduced by taking into account the influence of noise. If the power of natural fluctuations is insufficient, then we can recommend the introduction of additional (artificial) noise of the input signals, which are the source of the formation of the quantized time interval.
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