标题： 参考天线技术用于消除移动源引起的射频干扰 显示英文标题

标题： Reference antenna techniques for canceling radio frequency interference due to moving sources

摘要： 我们研究了可能影响某些干扰抑制算法去除潜力的射频干扰(RFI)信号的特性。 所考虑的技术是那些修改辅助参考天线的信号以建模并消除天文观测中的干扰的技术。 这些技术可以在时域中应用，其中RFI电压被建模并从天文信号路径中减去（自适应噪声消除），或者它们可以应用于频域中的自相关和互相关电压谱（后相关消除）。 对于理想的接收器和一个统计平稳的干扰信号，前相关和后相关的滤波器都可以导致观测中干扰的完全消除。 后相关方法的优势在于它可以在几十毫秒或几百毫秒的时间尺度上应用，而不是几十纳秒或几百纳秒的时间尺度上。 然而，如果RFI发射器的位置发生变化，这可能是一个缺点，因为连接天文和参考信号路径中干扰功率的互相关功率测量可能会失去相关性。 如果失去相关性不是太严重，可以允许这种情况，但会增加噪声。 时域自适应消除器允许其内部系数略有变化，并在积分过程中适应变化的相位，这意味着它们避免了失去相关性的问题。 然而，适应的自由度也会导致噪声增加。 在本文中，比较了这两种类型的消除器对来自移动源的干扰的去除能力。 消除器在观测和模拟数据上表现良好，实现了完全消除。 显示英文摘要

摘要： We investigate characteristics of radio frequency interference (RFI) signals that can affect the excision potential of some interference mitigation algorithms. The techniques considered are those that modify signals from auxiliary reference antennas to model and cancel interference from an astronomical observation. These techniques can be applied in the time domain, where the RFI voltage is modeled and subtracted from the astronomy signal path (adaptive noise canceling), or they can be applied to the autocorrelated and cross-correlated voltage spectra in the frequency domain (postcorrelation canceling). For ideal receivers and a single, statistically stationary interfering signal, both precorrelation and postcorrelation filters can result in complete cancellation of the interference from the observation. The postcorrelation method has the advantage of being applied on tens or hundreds of millisecond timescales rather than tens or hundreds of nanosecond timescales. However, this can be a disadvantage if the RFI transmitter location is changing, since the cross-correlated power measurements which link the interference power in the astronomy and reference signal paths can decorrelate. If the decorrelation is not too severe, it can be allowed for, at the expense of a noise increase. The time domain adaptive cancelers are allowed to slightly vary their internal coefficients and adapt to changing phases during the integrations, which means that they avoid the decorrelation problem. However, the freedom to adapt also results in a noise increase. In this paper the ability of both types of cancelers to excise interference originating from a moving source is compared. The cancelers perform well on both observed and simulated data, giving complete cancellation.