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经典空间谱估计算法的两个适用假设是远场平面波和窄带信号。文章利用7单元均匀线列阵仿真分析了短波波段内多重信号分类(MUSIC)算法的窄带假设上限带宽。可以发现:对于短波信号,50kHz的带宽所带来的测向误差不超过O.08°。这就意味着,对于短波通信信号的侦察测向完全可以采用经典空间谱估计算法,比如MUSIC算法,而不需要为窄带假设来付出代价,这便为设计高精度的短波通信实时测向系统提供了条件。 相似文献
84.
针对中介轴承故障信号特点,提出了一个既能反映信号中冲击成分强弱,又能突出周期性脉冲特征的新的频带优化参数——局部包络谱峰值因子,并应用其对中介轴承故障信号Morlet复小波共振解调频带进行优化。为验证该方法的优越性,搭建双转子实验台开展中介轴承外圈故障及内圈故障模拟实验,采用局部包络谱峰值因子频带优化的Morlet复小波的对采集的试验数据进行分析。以内外圈转速均为600 r/min的中介轴承为例,外圈故障频率的理论值为88 Hz,利用局部包络谱峰值因子频带优化得到的外圈故障频率为8725 Hz。结果表明该指标能够提取出中介轴承故障频率峰值,有效地将故障信息从振动信号中分离出来,实现中介轴承故障诊断。 相似文献
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针对高分四号(GF-4)卫星影像波段较少导致传统云检测算法难以区分云与冰雪像元的问题,提出一种多时相多通道云检测算法。该算法首先对GF-4卫星影像进行辐射定标和配准,然后利用云与典型地表的光谱差异得到潜在云像元,之后利用序列GF-4卫星影像之间的差异识别出移动的云像元,最后利用中红外波段反演地表亮度温度来去除冰雪像元。该算法在海南、辽宁和安徽3个研究区域进行验证,并将检测结果与传统单时相云检测算法、支持向量机(SVM)云检测算法和实时差分(RTD)云检测算法的检测结果进行对比。结果表明,该算法优于其他3种云检测算法,准确识别率均达到90%以上,误检率均低于5%,有利于GF-4卫星影像的进一步利用。 相似文献
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针对VHF/UHF频段航天器舱体屏蔽处理难度大的问题,提出一种基于等效导纳模型的屏蔽效能分析方法。该方法将屏蔽舱体孔缝等效为波导结构,基于变分法原理建立水平电容和垂直电感模型,对参数失配和舱体厚度影响进行导纳匹配和孔缝宽度参数修正。采用传输线理论建立屏蔽效能分析数学模型。算例对比表明算法具有较高的分析精度,可有效分析孔缝不位于舱体中心位置和孔缝长度非波长整数倍时的屏蔽效能,并可准确预测舱体的谐振效应。将其应用到航天器舱体屏蔽效能分析中,对比结果表明算法可有效满足工程应用要求。 相似文献
88.
针对气动加热条件下光学窗口辐射导热耦合传热开展研究,以了解光学窗口的热辐射发射规律及热防护性能。采用有限体积法、蒙特卡罗法、谱带模型建立了具有镜反射界面的光学窗口辐射传输及辐射导热耦合传热计算模型,对具有两层SiO2玻璃的光学窗口传热特性进行了模拟。结果表明处于高温区玻璃向外发射热辐射,低温区玻璃吸收热辐射;除了加热面附近外的玻璃区域,辐射热流密度远大于导热热流密度,在2.9~4.2μm谱带内的辐射热流密度大于0.4~2.9μm谱带内的;在0.4~2.9μm谱带内,可见光波长内的出射辐射热流密度最小,中红外波长范围内出射辐射热流密度最大。在光学窗口总厚度一定的情况下,降低玻璃层厚度和玻璃夹层气体热导率能够有效降低光学窗口非加热面稳态温度。 相似文献
89.
M. Chernetskiy A. Shevyrnogov S. Shevnina G. Vysotskaya A. Sidko 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2009
In this work historical investigations and modern results of classification of the Krasnoyarsk Reservoir are presented. The paper presents results of studying the dynamics of phytopigments and other optically active components, using multispectral satellite data. Several approaches to interpreting satellite data for optically complex inland water bodies are offered. Based on results of historical investigations it is shown that the spatial distribution of phytoplankton in the reservoir stems back to the time of its formation. Color index in the red spectral region (CIR) is introduced. A relationship between the color index and chlorophyll concentration is investigated. The CIR, derived from the AVHRR data, has been found to be related to chlorophyll concentration. Based on MODIS data, the waters of the Krasnoyarsk Reservoir have been classified in accordance with their optical spectral variability, using the technique of unsupervised IsoData classification. An empirical relationship between multispectral MODIS data and the ground-truth measurements of chlorophyll concentration has been found. 相似文献
90.
P.K. Srivastava T.J. Majumdar Amit K. Bhattacharya 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2009
Land surface temperature (LST) is an important factor in global change studies, heat balance and as control for climate change. A comparative study of LST over parts of the Singhbhum Shear Zone in India was undertaken using various emissivity and temperature retrieval algorithms applied on visible and near infrared (VNIR), and thermal infrared (TIR) bands of high resolution Landsat-7 ETM+ imagery. LST results obtained from satellite data of October 26, 2001 and November 2, 2001 through various algorithms were validated with ground measurements collected during satellite overpass. In addition, LST products of MODIS and ASTER were compared with Landsat-7 ETM+ and ground truth data to explore the possibility of using multi-sensor approach in LST monitoring. An image-based dark object subtraction (DOS3) algorithm, which is yet to be tested for LST retrieval, was applied on VNIR bands to obtain atmospheric corrected surface reflectance images. Normalized difference vegetation index (NDVI) was estimated from VNIR reflectance image. Various surface emissivity retrieval algorithms based on NDVI and vegetation proportion were applied to ascertain emissivities of the various land cover categories in the study area in the spectral range of 10.4–12.5 μm. A minimum emissivity value of about 0.95 was observed over the reflective rock body with a maximum of about 0.99 over dense forest. A strong correlation was established between Landsat ETM+ reflectance band 3 and emissivity. Single channel based algorithms were adopted for surface radiance and brightness temperature. Finally, emissivity correction was applied on ‘brightness temperature’ to obtain LST. Estimated LST values obtained from various algorithms were compared with field ground measurements for different land cover categories. LST values obtained after using Valor’s emissivity and single channel equations were best correlated with ground truth temperature. Minimum LST is observed over dense forest as about 26 °C and maximum LST is observed over rock body of about 38 °C. The estimated LST showed that rock bodies, bare soils and built-up areas exhibit higher surface temperatures, while water bodies, agricultural croplands and dense vegetations have lower surface temperatures during the daytime. The accuracy of the estimated LST was within ±2 °C. LST comparison of ASTER and MODIS with Landsat has a maximum difference of 2 °C. Strong correlation was found between LST and spectral radiance of band 6 of Landsat-7 ETM+. Result corroborates the fact that surface temperatures over land use/land cover types are greatly influenced by the amount of vegetation present. 相似文献