对红外制导系统的噪声分析与动态模拟

本文基于近红外制导系统噪声分析的框架模型，在分析探讨主要噪声源的基础上，给出了基本噪声立意，建立了探测器等组成部件基本噪声的功率谱分析式，设计出一种以红外探测器为抑制主体的减噪系统。通过目标、误差响应率的测定与跟踪试验获得较好的效果。     

相关法测量中的噪声信号源和扫频信号源的性能比较

时差法相关测量中信号的带宽越宽，互相关函数的峰值点的峰值优势越大，其测量的抗干扰性能越好。通过理论分析和数学仿真研究了两种宽带信号源——噪声信号和扫频信号，并利用相关分析法测量两信号问时差时的性能。结论是：噪声信号频带范围宽，带宽不受所采用信号长短的限制，测量分辨力高，但其频谱与噪声干扰频谱相似，抗干扰能力差；扫频信号的频率和带宽可人为控制，频谱特征明显，抗干扰性能好。     

斜齿圆柱齿轮正交法参数优化设计

用正交法对斜齿圆柱齿轮传动进行参数优化设计 ,用方差分析法找出对质量影响最显著的因素 ,最后 ,由信噪比作为指标选出最佳参数组合 ,这是一种快速创新开发产品的设计方法。     

二维小波变换及其在医学图像处理中的应用

介绍了二维离散小波变换的一般形式，在图像分解的基础上．分析了二维小波变换在医学图像消噪和图像增强中的应用，同时给出应用实例。结果表明，应用小波分析进行医学图像处理，能够有效地改善图像质量，有利于医生对病情的诊断和治疗。     

空中受油管的绕流特性研究

空中加油是提高飞机航程、活动半径的重要方法。通过对四种固定受油管的数值模拟,从流动特性的改进方面说明了合适的截面及倾角会降低受油管绕流的压力脉动,进而使噪声降低。     

喷流噪声特性与控制研究

本文着重研究喷流噪声机理及工程计算方法。通过实验研究了声功率与喷流速度的关系,表明在Mα>0.4时Lighthill方程和Lilley方程均与实验数据吻合,可分别使用。而Mα<0.4时,均偏差较大,通过本文实验表明,若改为6次方关系较为恰当。文章同时对喷流噪声指向性、谱特性进行了分析。最后对一种引射消声器进行了发展性研究,获得在135dB噪声条件下,降噪17dB的效果。     

Noise in wireless systems from solar radio bursts

Solar radio bursts were first discovered as result of their interference in early defensive radar systems during the Second World War (1942). Such bursts can still affect radar systems, as well as new wireless technologies. We have investigated a forty-year record of solar radio burst data (1960–1999) as well as several individual radio events in the 23rd solar cycle. This paper reviews the results of a portion of this research. Statistically, for frequencies f  1 GHz (near current wireless bands), there can be a burst with amplitudes >10³ solar flux units (SFU; 1 SFU = 10⁻²² W/m²) every few days during solar maximum conditions, and such burst levels can produce problems in contemporary wireless systems.     

基于6SPS并联机构标定新方法

系统研究6SPS并联机构标定的方法。研究中应用激光跟踪仪测量、基于并联机构正解和定位误差旋量的计算,正交试验进行试验设计,应用非线性最小二乘参数辨识。仿真验证辨识的几何误差可以等于假定值,试验验证位姿精度提高了10倍。     

Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system

Gas Turbine Engines (GTEs) are vastly used for generation of mechanical power in a wide range of applications from airplane propulsion systems to stationary power plants. The gas-path components of a GTE are exposed to harsh operating and ambient conditions, leading to several degradation mechanisms. Because GTE components are mostly inaccessible for direct measurements and their degradation levels must be inferred from the measurements of accessible parameters, it is a challenge to acquire reliable information on the degradation conditions of the parts in different fault modes. In this work, a data-driven fault detection and degradation estimation scheme is developed for GTE diagnostics based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). To verify the performance and accuracy of the developed diagnostic framework on GTE data, an ensemble of measurable gas path parameters has been generated by a high-fidelity GTE model under (a) diverse ambient conditions and control settings, (b) every possible combination of degradation symptoms, and (c) a broad range of signal to noise ratios. The results prove the competency of the developed framework in fault diagnostics and reveal the sensitivity of diagnostic results to measurement noise for different degradation symptoms.     

Potential of IRNSS/NavIC L5 signals for ionospheric studies

Indian Space Research Organization (ISRO) has developed an indigenous system named Indian Regional Navigation Satellite System (IRNSS) or NavIC (Navigation with Indian Constellation), that consists of 7 satellites and transmits navigation signal in L and S bands. ISRO, for validation of the system, has installed many IGS (IRNSS/GPS/SBAS) receivers scattered over the Indian region. Using preliminary data from two geographically widely separated stations over India, this paper presents the results on studies on parameters of IRNSS signal quality and discusses how these parameters may be used to study the ionospheric behavior over the Indian region. The results show the importance and advantages of using IRNSS data for such studies.