TM65m射电望远镜L、S、C、X频段天线性能测量

报告了上海天马65 m射电望远镜(简称TM65m)4个低频(L、S、C、X)段的天线效率、灵敏度以及系统噪声温度的性能测试情况.首先介绍了射电天文接收系统的关键指标,接着对测试方法进行了论述,并对误差进行了评估.最后给出了TM65m上4个低频段的天线效率、灵敏度以及系统噪声温度的测试情况,测试结果表明:在C和X波段,副面位置固定时,在高低俯仰角上效率和灵敏度下降剧烈,当启动副面(随动)模型后,在全仰角范围内,效率可以控制到60%以上.系统噪声温度与副面模型无关,在4个波段中C波段的灵敏度和系统噪声温度最佳.     

边带分离型超导SIS接收机本振耦合噪声研究

超导SIS (Superconductor-Insulator-Superconductor)接收机因极低的接收机噪声温度成为毫米波和亚毫米波段射电天文观测的首选.本振系统耦合噪声也是接收机噪声的一部分,在多年的天文观测中,发现本振耦合噪声无法完全忽略,对天文观测的灵敏度有一定影响.采用两个不同种类的信号发生器作为本振系统初级信号源,测试了超导SIS接收机的噪声温度,发现信号发生器输出的基底噪声能够耦合到接收机内部,从而增加接收机噪声强度.分析研究了本振系统热噪声和信号发生器基底噪声对接收机噪声的影响.通过在信号发生器输入端加入窄带滤波器滤除其基底噪声,消除了信号发生器基底噪声引入的接收机噪声,降低了接收机的整体噪声,提高了望远镜的灵敏度.     

基于FS系统对乌鲁木齐VLBI射电望远镜进行天线测量

在天文观测中射电望远镜性能参数的好坏直接影响到观测数据质量,为了保证观测质量,提高观测效率,需要对天线性能进行测量.当前进行天线测量的方法有场地测量法和射电天文法,不同的方法应用范围和效果不同.对于大型天线而言采用射电天文法进行天线测量高效快捷.针对VLBI射电望远镜,介绍了使用终端FS系统对天线参数进行测量（基于射电天文法）的方法和过程,以乌鲁木齐南山25 m天线增益和指向精度测量作为范例,重点叙述了测量的方法和步骤,并对该方法进行了讨论.     

阵列接收系统的噪声温度分析

针对射电天文抗干扰技术对于射电天文观测设备灵敏度的影响,分析了评估自适应波束形成技术对阵列接收系统的噪声温度影响.首先通过噪声信号模型,获取了影响系统噪声温度变化的参数,并在此基础上研究了天线增益、接收机增益和耦合性等系统参数的不确定性对于噪声温度的影响,最后利用仿真实验分析了理想系统条件下当前主要的自适应波束形成算法对于系统噪声温度的影响.结果表明基于自适应波束形成的抗干扰方法在天文信号源和干扰信号源重合的情况下已不再适用.     

基于解析信号处理的下变频系统FPGA实现与天文应用

讨论了基于FPGA的射电天文接收中解析信号处理下变频器的设计与实现,探讨了使系统获得灵活选取观测频点特性的方案,以及灵活变频系统在天文观测中的应用.     

S波段双极化低噪声接收机的设计与制作

所述的S波段双极化低噪声接收机是乌鲁木齐天文站根据天文观测研究的需要而设计制作的,接收机采用超外差式结构,设计中对接收机的噪声参数进行了细致地分析和合理地分配,分析选择了符合设计要求的接收机器件,制作中采取有效方法,改善接收机的噪声特性和阻抗匹配,并采用多种测试方法对接收机进行了测试,实测结果与设计分析的指标非常吻合,说明接收机的设计与制作都很成功,接收机噪声温度小于50K,达到国际同类接收机的水平.     

宽频带波纹波导差分移相器的研究

波导极化器是射电天文接收机系统中的重要微波器件,其核心部分是差分移相器。通过对移相器的分析,详细研究了宽带波纹方波导差分移相器的特性。应用电磁仿真软件对32 GHz~48 GHz(7 mm波段)的波纹方波导移相器结构进行了设计与优化,在整个带宽范围内得到90°±7.5°的良好相移特性,驻波比仅仅为1.02。研制具备尺寸小、性能优和宽频特点的差分移相器满足射电天文接收机发展需求,可以改善接收机的性能,并有效提高对天文射电源相关特性等的观测能力。     

精确时延补偿的自适应旁瓣相消射电抗干扰方法研究

导航信号作为射电干扰信号影响L波段射电观测时,与雷达、通信领域的干扰不同,其功率通常小于噪声功率,使得利用干扰信号相关性的传统抗干扰方法效果不佳,且缺乏有效的评价指标。针对以上问题,依据射电信号处理流程构建了射电抗干扰系统框架,并从射电观测数据应用出发,给出了干扰抑制度和信号损失度两个指标。同时提出在精确补偿时延后利用抑制干扰子空间噪声分量的自适应旁瓣相消方法来消除导航信号的影响;仿真结果表明,本方法能有效抑制导航信号对射电观测的影响,且性能优于传统基于特征子空间的自适应旁瓣相消方法。     

基于小波变换的射频干扰消除方法的研究

在射电天文观测中,射频干扰(Radio Frequency Interference, RFI)会以多种形式混入望远镜接收系统,给观测带来误判或者降低观测信噪比.近年来国内国际射电天文快速发展,国内国际大型射电望远镜和阵列先后建设,观测灵敏度大为提高,射频干扰的影响尤为突出.随着科技发展和人类活动的加剧,射频干扰日益严重且不可逆转.提出利用2维离散小波变换的方法分析射电天文观测的数据,对望远镜系统输出的时间频率序列进行小波变换,根据小波系数分离出原始信号中各分量,每个分量统计得到相应的阈值,将各分量与阈值相比较识别干扰成分并标记去除.利用该方法对实际观测数据进行了处理,结果表明该方法能够很好地标记并消减干扰信号,且提高了观测的信噪比.     

射电频率干扰的消减

一直以来,射电天文装备不断得到升级和发展,以使其具有更好的观测性能,包括提高数据记录的时间和频率分辨率以及获得更高的接收和记录带宽等.然而与之形成矛盾的是:国际电信联盟(International Telecommunication Union,ITU)仅为射电天文分配了非常有限的频谱资源,导致的后果是射电观测设备不可避免地受到日益增强的非天文信号的影响,后者的来源主要是人类的通信活动和日常生活,这就构成了通常射电天文中所说的射频干扰(Radio Frequency Interference,RFI).射频干扰会降低数据质量甚至导致数据无效,对科学结果的影响越来越严重.对RFI消减的需求进行分析,总结了RFI的特性、抑制和消减的技术和方案,并介绍了一些有代表性的射电望远镜(或阵列)中采用的RFI消减方法;还分析比较了4种常用方案,即预防、预检测、预相关和后相关的优势和不足.对RFI进行准确的识别和标记是减少数据损失从而有效提高数据质量的关键,也是发展RFI消减技术的最终目的.通过研究不难发现,上述4种方案的组合运用将具有更高的实用价值.近几年来,随着高速数字信号处理和高性能计算的迅速发展,依赖大量计算的实时模式下的预检测以及离线模式下从大型望远镜阵列所产生的大规模干涉相关数据中检测RFI已经成为可能.     

基于斩波轮技术的K波段接收机噪声校准研究

接收机是射电天文中用于探测微弱射电信号的重要接收设备.接收机的强度校准就是将接收机对射电源的响应转换为天文意义上的流量密度.常规方法就是使用经典的冷热负载法,将接收机自身的强度响应转换为一个等效的温度值,之后再据此对射电源做进一步标定.通过搭建基于斩波轮技术的K波段接收机强度校准平台,使用斩波轮法测试K波段常温接收机的噪声温度,并与传统冷热负载法的测试结果进行比对.结果显示,在晴好天气条件下,斩波轮法在30°、90°仰角下噪声温度的最大测试误差为7.5%和8.4%,可以很好地应用于实际噪声温度测试中;但在5°仰角测试中,由于过低仰角引入了地面噪声,使得斩波轮法的测试误差上升至20%–30%之间而无法使用.希望在此基础上进一步开展K波段天空亮温度的理论计算与实测,从而完善斩波轮技术的应用,使之可以满足在不同气象条件下的噪声校准测试需求.     

Search for possible exomoons with the FAST telescope

Our knowledge of the solar system encourages us to believe that we might expect exomoons to be present around some known exoplanets. With present hardware and existing optical astronomy methods, we do not expect to be able to find exomoons for at least 10 years, and even then, it will be a hard task to detect them. Using data from the Exoplanet Orbit Database(EOD) we find stars with Jovian exoplanets within 50 light years. Most of them will be fully accessible by the new radio telescope, the Five-hundred-meter Aperture Spherical radio Telescope(FAST), under construction which is now in the test phase. We suggest radio astronomy based methods to search for possible exomoons around two exoplanets.     

Antenna design and implementation for the future space Ultra-Long wavelength radio telescope

In radio astronomy, the Ultra-Long Wavelengths (ULW) regime of longer than 10 m (frequencies below 30 MHz), remains the last virtually unexplored window of the celestial electromagnetic spectrum. The strength of the science case for extending radio astronomy into the ULW window is growing. However, the opaqueness of the Earth’s ionosphere makes ULW observations by ground-based facilities practically impossible. Furthermore, the ULW spectrum is full of anthropogenic radio frequency interference (RFI). The only radical solution for both problems is in placing an ULW astronomy facility in space. We present a concept of a key element of a space-borne ULW array facility, an antenna that addresses radio astronomical specifications. A tripole–type antenna and amplifier are analysed as a solution for ULW implementation. A receiver system with a low power dissipation is discussed as well. The active antenna is optimized to operate at the noise level defined by the celestial emission in the frequency band 1 ? 30 MHz. Field experiments with a prototype tripole antenna enabled estimates of the system noise temperature. They indicated that the proposed concept meets the requirements of a space-borne ULW array facility.     

VLBI台站布线的电磁兼容性分析

介绍了乌鲁木齐南山观测站VLBI（VeryLong Baseline Interferometry）台站的组成及电磁兼容性特点,并针对系统内布线特点进行电磁兼容性分析,给出了克服线缆间相互干扰的措施和方法,为工程设计人员在VLBI台站布线设计及维护方面提供一些有效的解决方案,具有一定的工程意义。     

基于100 nm砷化镓pHEMT工艺的C波段宽带低噪声放大器芯片

作为射电天文接收机系统的关键器件, 低噪声放大器的噪声和增益性能对接收机系统的灵敏度有重要影响. 采用100nm砷化镓赝配高电子迁移率晶体管(pseudomorphic High Electron Mobility Transistor, pHEMT)\lk工艺, 研制了一款可覆盖C波段(4--8GHz)的低噪声放大器(Low Noise Amplifier, LNA). 所设计的LNA采用3级共源级联放大拓扑结构, 栅极、漏极双电源供电. 常温下测试表明, 该LNA在4--8GHz频段内平均噪声温度为\lk60K, 在5GHz处获得最低噪声温度50K, 通带内增益($31\pm1.5$)dB, 输入输出回波损耗均优于10dB, 芯片面积为$2.1\times1.1$mm², 可以应用于C波段射电天文接收机以及卫星通信系统等.     

RATAN-600 radio telescope in the 24th solar-activity cycle. II. Multi-octave spectral and polarization high-resolution solar research system

Radio astronomy studies of the solar atmosphere possess a very important, not duplicated by other methods, place in the study of solar activity at all stages—from the birth of an active region until its collapse. A significant progress in these studies can be achieved in the implementation of new technical possibilities, such as an increase in the sensitivity of radio telescopes, a detailed spectral analysis over a wide frequency range, high temporal resolution and a broad coverage range in time. We report about the implementation of regular observations with a new spectral and polarization high-resolution system SPHRS, installed at the radio telescope RATAN-600.We describe the concept of the new system and the methods of its implementation.     

基于线性数据重构的天线动力学模型辨识方法

射电望远镜天线伺服控制系统中的非线性特性, 对系统动力学特性辨识有着显著的影响, 会提高辨识难度, 增加辨识模型的复杂程度. 系统非线性特性的测量与补偿也会增加系统辨识工作量. 针对上述问题, 提出了一种基于非线性采样数据的线性重构方法, 用于动力学特性建模. 通过提取原采样数据的相位与幅值, 对受到噪声与非线性畸变影响的系统采样数据进行线性重构, 降低待辨识模型的复杂度. 搭建了半实物实验平台, 以平台实际采样为基础, 重构线性数据, 利用奇异值法与自回归神经网络评估并辨识平台动力学模型. 实验结果表明, 建模数据奇异值拐点从100阶下降至40阶, 仅用10个神经网络节点200次训练即实现了模型辨识.     

Automatic Determination of Stellar Atmospheric Parameters Using Neural Networks and Instance-Based Machine Learning

In this article we show how machine learning methods can beeffectively applied to the problem of automatically predictingstellar atmospheric parameters from spectral information, a veryimportant problem in stellar astronomy. We apply feedforwardneural networks, Kohonen's self-organizing maps andlocally-weighted regression to predict the stellar atmosphericparameters effective temperature, surface gravity and metallicityfrom spectral indices. Our experimental results show that thethree methods are capable of predicting the parameters with verygood accuracy. Locally weighted regression gives slightly betterresults than the other methods using the original dataset asinput, while self-organizing maps outperform the other methods when significant amounts of noise are added. We also implemented a heterogeneous ensemble of predictors, combining the results given by the three algorithms. This ensemble yields better results than any of the three algorithms alone, using both the original and the noisy data.     

Study of Radio Frequency Interference Mitigation Method Based on Wavelet Transform

In radio astronomy observations, radio frequency interference (RFI) is mixed into the telescope receiving system in various forms. The existence of RFI brings misjudgment to the observation or reduces the observational signal-to-noise ratio. In recent years, the domestic and overseas radio astronomy has developed rapidly. Large-scale radio telescopes and telescope arrays at home and abroad have been constructed successively. Observation sensitivity is greatly improved, and the influence of RFI is particularly prominent. With the development of science and technology and the intensification of human activities, the RFI has become increasingly serious and irreversible. We propose to use the two-dimensional discrete wavelet transform method to analyze the data of radio astronomy observations, and to perform wavelet transform on the time-frequency sequence output by the telescope system. According to the wavelet coefficients, the every component in the original signal is separated, and the corresponding threshold value is obtained by the statistics on each component. Each component is compared with the threshold to identify the interference component, and to mark it for removal. This method is used to process the actual observation data. The results show that this method can well mark and eliminate the interference signal, and improve the observational signal-to-noise ratio.