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A FPGA-based Fast Converging Digital Adaptive Filter for Real-time RFI Mitigation on Ground Based Radio Telescopes

机译:基于FPGA的基于FPGA的快速融合数字自适应滤波器,用于基于地面无线电望远镜的实时RFI缓解

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Radio Frequency Interference (RFI) is a growing concern in the radio astronomy community. Single-dish telescopes are particularly susceptible to RFI. Several methods have been developed to cope with RF-polluted environments, based on flagging, excision, and real-time blanking, among others. All these methods produce some degree of data loss or require assumptions to be made on the astronomical signal. We report the development of a real-time, digital adaptive filter implemented on a Field Programmable Gate Array (FPGA) capable of processing 4096 spectral channels in a 1 GHz of instantaneous bandwidth. The filter is able to cancel a broad range of interference signals and quickly adapt to changes on the RFI source, minimizing the data loss without any assumption on the astronomical or interfering signal properties. The speed of convergence (for a decrease to a 1%) was measured to be 208.1 mu s for a broadband noise-like RFI signal and 125.5 mu s for a multiple-carrier RFI signal recorded at the FAST radio telescope.
机译:射频干扰(RFI)是无线电天文社区日益关注的问题。单盘望远镜特别容易受到RFI的影响。已经开发了几种方法来应对RF污染的环境,基于标记,切除和实时消隐等。所有这些方法都产生了一定程度的数据丢失,或者需要在天文信号上进行假设。我们报告了在现场可编程门阵列(FPGA)上实现的实时数字自适应滤波器的开发,能够在瞬时带宽的1 GHz中处理4096频谱信道。过滤器能够取消广泛的干扰信号,并快速适应RFI源的变化,最大限度地减少数据丢失,而不会对天文或干扰信号特性进行任何假设。测量收敛速度(用于减小至1%),以为宽带噪声相同的RFI信号和125.5μs记录在快速无线电望远镜上的多载波RFI信号的125.5μs。

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