Characterization of ionospheric amplitude scintillations using wavelet entropy detrended GNSS data

The extensive monitoring networks of Global Navigation Satellite System (GNSS) ionospheric scintillation have been established to continuously log observation data. Further, the amplitude scintillation index and the phase scintillation index, which are derived from scintillation observations, are anticipated to accommodate the accuracy requirement of both the user level and the monitoring station level. However, raw scintillation observations essentially measure superposed waveform impairments of GNSS signals propagating through ionosphere and troposphere. It implies that fluctuations of raw scintillation observations are caused by multiple factors from the entire radio propagation environment. Hence, it is crucial to characterize ionospheric scintillations from GNSS observation data. And the characterization is implemented through extracting fluctuations of raw observations merely induced by ionospheric scintillations. Designed to address this problem by means of Fourier filtering detrending, the present work investigates the influence of varying detrending cutoff frequencies on wavelet statistical energy and wavelet entropy distributions of scintillation data. It consequently derives criteria on the optimum detrending cutoff frequency for three types of raw amplitude scintillation data, which are classified by their wavelet energy distributions. Results of the present work verify that detrending with specific optimum cutoff frequencies rather than the fixed and universally applicable one renders the validity and credibility of characterizing ionospheric scintillations as the part of GNSS observation fluctuations purely induced by ionosphere electron density irregularities whose scale sizes are comparable with or smaller than the Fresnel scale.     

Streamwise vortex generation by the rod

The technology development related to aerodynamics is leading to ever increasing loads of wings, airfoils and turbine and compressor blades. The increase in aerodynamic forces is often leading to flow separation and depreciation of the aerodynamic performance of flying objects or propulsion systems. Flow control methods are required to avoid these negative effects. In the recent two decades the flow control by means of air-jet vortex generators has been also intensively investigated. In this method a streamwise vortex is introduced by an oblique jet. The necessity to supply air by a pipe system may be considered a disadvantage. In order to eliminate this feature, it has been proposed to put out a rod instead of a jet. It has been shown that the application of a rod can introduce the same effect as a jet, as long as the streamwise vortex generation is concerned and appropriate dimensions are used. The present paper focuses on the influence of rod vortex generators on a flow pattern downstream. The results presented here concern experimental and numerical investigations and provide guidelines for the design of a new flow control method dedicated mainly to external flows.     

Passive localization by a single moving observer using TOA only with unknown SRI: Observability analysis and algorithm

Passive localization by a single moving observer using Time of Arrival (TOA) only with an unknown Signal Repetition Interval (SRI) is investigated in this paper. Observability analysis is performed first. The observability condition for uniquely determining the emitter position and SRI is derived. The conditional Cramer-Rao Lower Bound (CRLB) is also analyzed. It is found that the ambiguity of the SRI integer of the first TOA does not affect the theoretical estimation precision of the emitter position and SRI. A Reference-Fixed Differential TOA (RFDTOA)-based Iterative Maximum Likelihood Estimator (IMLE) is proposed, which only needs O(M) computational operations. Theoretical analysis and simulation results show that the Mean Square Error (MSE) of the proposed algorithm could attain the CRLB with moderate Gaussian measurement noise.     

基于故障字典的旋转整流器故障检测方法

以交流电为主要电源的飞机普遍采用无刷交流发电机作为发电装置,但由于半导体器件抗干扰、抗过载能力差,旋转整流器成为故障发生率较高的部件,文中介绍了利用快速傅里叶变换（FFT）通过对励磁电流的分析来检测可能出现的故障,并利用故障字典快速地判断出故障原因。     

发烟机动力装置的试验研究

简要介绍了发烟机及其动力装置,研究并改进了ＷＱＪ－１型小型航空发动机,使之成为满足发烟要求的动力装置。确定了该发动机在新状态下的参数及结构,进行了发烟机的雾油发烟实验,得到了雾油发烟对发动机的影响及影响程度。实验结果表明：将ＷＱＪ－１型小发动机改为发烟机动力装置是可行的。对发烟机的型号研制和扩展小型航空发动机的使用范围有积极促进作用。     

风云二号卫星 CDAS 原始云图解调器

在传统四次方环基础上提出了一种适用于快捕的新方法——四次方环开关法;根据这一原理研制的风云二号ＣＤＡＳ原始云图解调器具有捕获快,捕捉带宽,误码率性能好等特点;经测试及实用证明,此解调器性能优良,完全能满足实际需要。     

智能化VXI总线高性能同步数据采集模件的设计

介绍了一种基于VXI总线的高速隔离智能同步数据采集模件的设计方案 ,分析了主要电路的技术要点和实现方法     

太赫兹脉冲计量技术

太赫兹(以下简称THz)波位于微波到红外光学的过渡区域,具有重要的学术价值,在民用和国防等领域有着广泛的应用。高速器件产生或传输的超快脉冲宽度已达皮秒量级,带宽已进入太赫兹频段。传统技术和方法无法解决此类器件的校准问题,而结合光电技术的时域电光取样(EOS)技术则为太赫兹脉冲计量提供了有效的手段,本文对此类新技术进行了全面的概述。     

基于循环谱的隐蔽通信性能分析

研究了基于扩频技术的隐蔽通信波形设计,采用大信号掩盖技术和跳码扩频技术,其中大信号和隐蔽信号分别以直接序列扩频(Direct Sequence Spread Spectrum, DSSS)和随机跳码扩频方式产生。对DSSS信号和随机跳码扩频信号的二阶循环平稳特性进行了理论分析,并通过仿真证明了循环平稳特性可用于隐蔽通信波形循环谱分析。首先,理论分析揭示DSSS信号的循环谱在与数据符号速率和码片速率相关的循环频率上,具有由信号的循环平稳性所产生的一系列特征峰值;然而,在随机跳码直扩信号中,扩频码带来的循环平稳性被破坏,导致其循环谱仅在与码片速率相关的循环频率上存在特征峰值;最后,利用循环平稳特性,结合判决门限进行隐蔽信号检测的仿真和分析。     

双馈异步风力发电机气隙偏心故障诊断研究现状与发展

双馈异步风力发电机(DFIG)机械故障在实际运行中尤其不可忽略,不论是转子刚度不足还是轴承磨损或安装误差,都会导致气隙偏心,严重时甚至会烧毁电机,因此对风机进行准确高效的气隙偏心故障诊断至关重要。简单介绍DFIG产生气隙偏心的故障机理,再对当前已有的相关故障诊断方法做重点归类阐述,最后展望未来的DFIG气隙偏心故障诊断方法的发展趋势和方向。