基于云南天文台四十米射电望远镜平台对射电天文中自适应滤波器消除无线电干扰关键技术的研究

项目名称： 基于云南天文台四十米射电望远镜平台对射电天文中自适应滤波器消除无线电干扰关键技术的研究

项目编号： No.11303094

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 数理科学和化学

项目作者： 董亮

作者单位： 中国科学院云南天文台

项目金额： 30万元

中文摘要： 无线电干扰严重影响到射电观测数据的质量和精度。传统的消除干扰的办法存在各种缺陷,如带来带宽损失，噪声温度上升等缺点。 自适应滤波器能根据最小均方误差原理实时调节滤波器的系数，能有效的跟踪有用信号和变化的干扰信号，达到滤除干扰信号有效地降低噪声改善信噪比的目的。 本项研究拟在采用准实时和辅助天线实时处理两种方法，通过自适应滤波器滤除无线电干扰，根据输出结果与期望信号之间的均方误差，实时调整滤波器系数，最终使滤波器的输出稳定在期望信号上，消除掉干扰信号。 本项研究将利用云南天文台四十米射电望远镜为试验平台比对各种自适应算法，选择合适滤波器的收敛系数和滤波器阶数，使滤波器能在尽可能短的时间内达到稳定，并消耗最小的处理器资源。 该项技术首先将在四十米射电望远镜上进行实验，进而将作为一种可行的方法用于各种射电天文观测中的干扰消除。

中文关键词： 射电天文；无线电干扰；监测系统；干扰消除；自适应滤波

英文摘要： Radio frequency interferences (RFIs) are badly influnced the radio observatory data's quanlity and precision. The traditional methods for RFIs cancelling have some flaws,such as inflexible, losing bandwidth , raising the noise temprature and so on. The adaptive fliters can adjust the fliter's parameters based on the least mean squares theory. These types of fliters can trace the useful signal and the variation of interference signals for rejecting the RFIs and improving Signal to Noise Ratio(SNR). In this item, we will use two methods: quasi-real time adaptive fliter algorithm and real time adaptive fliter with some auxiliary antennas. Based on the square error between output results and expectation signal, the adaptive fliters can adjust the coefficients and the Bode response and then the output can stay in expectation signals and rejecting the RFIs. This item will research different adaptive algorithms based on the 40m radio telescope platform. The item looks forward to finding the best adaptive fliters structures such as convergence parameters, the number of fliter tapes and so on for making fliters to output steadily results. This technology will use in 40m radio telescope at first for improving the observation quanlity. And then,it will be used for other radio astronomy observations as a new method.

英文关键词： radio astronomy；radio frequency interferences；monitor system；interferences rejecting；self-adaptive filter