利用地面站时间同步系统实现高精度测距约束下的大容量通信

Jingyuan Li, Yingxue Su, Huaming Chen, G. Sun
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引用次数: 0

摘要

基于GEO卫星转发器的CDMA地面站时间同步网络是基于卫星时频双向传输的。测距信号与通信信号频谱重叠,且各信号功率相等。由于多址干扰的影响,地面站接收信号的等效载波噪声比不是随着单信号发射功率的增加而线性增长,而是存在一个最大值。接收信号的等效载波噪声比最大值随着地面站数量的增加而减小,这会降低测距精度,增加误码率,从而降低系统的通信容量。为了解决这一问题,我们提出了一种在应答器带宽固定条件下的新方法。首先,在接收机中采用并行干扰抵消的信号处理方法来抑制多址干扰。其次,在系统设计方面,在保证高测距精度的前提下,适当降低扩频码率,将测距信号和通信信号的频谱部分分离。频谱分离后,每个频谱的用户数为总用户数的一半。它减少了接收信号在每个频谱中的多址干扰。通过分析,得到了最优扩频码率。它只需要在分离频谱后消除单个频谱内的多址干扰。由于没有消除两个频谱之间的多址干扰,与直接采用并行干扰抵消相比,干扰抵消后接收到的等效载波噪声比降至1dB以下,计算复杂度降至原来的三分之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Earth Station Time Synchronization System to Achieve Large-Capacity Communication under the Constraint of High-Precision Ranging
The CDMA earth station time synchronization networks using GEO satellite transponder are based on Two-Way Satellite Time and Frequency Transfer. The spectrum of the ranging and communication signals is overlap, and each signal power is equal. As the effect of multiple access interference, the equivalent carrier to noise ratio of the earth station received signal is not linear growth with the increase of single signal transmission power, but exist a maximum. The maximum value of equivalent carrier to noise ratio of the received signal decreases when the number of earth station increases, which will reduce the ranging accuracy and increase the bit error rate, so the capacity of system communication reduced. To solve this problem, we propose a new method in the condition of fixed transponder bandwidth. First, it uses the signal processing method of parallel interference cancellation in the receiver to suppress the multiple access interference. Second, in the aspect of the system design, under the premise of ensuring high-ranging accuracy, appropriately reducing the spreading code rate, and partially separating the spectrum of the ranging signals and communication signals. After separating the spectrum, the user number of each spectrum is half of the total user numbers. It reduces the multiple access interference of the received signal in each spectrum. It obtained the optimal spread code rate by analyzing in this paper. It only need eliminate the multiple access interference within a single spectrum after separate the spectrum. As the absence of eliminating the multiple access interference between two spectrums, comparing with directly using parallel interference cancellation, the received equivalent carrier to noise ratio decreased to less than 1dB after interference cancellation, while the computational complexity reduced to one-third of the original.
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