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841.
非线性调频信号参数估计算法 总被引:5,自引:0,他引:5
分析了非线性调频(NLFM)信号参数估计问题,提出了利用二次相位差分使相位降阶,使NLFM信号的参数估计转化为成熟的正弦波频率估计,而NLFM信号参数估计算法从三维搜索简化为三次一维搜索,既减少了计算复杂度,又有利于工程实现;另外从正弦波频率估计问题出发推导出对信号参数α3估计的最佳相关延迟量为2T/7,向时还考虑了延迟相关对信号信噪比的影响,发现一次延迟相关信号信噪比至少下降3dB,两次延迟相关至少下降7dB,而且信噪比越小,下降越多,因此该算法适用于高信噪比条件,仿真结果表明,该算法在较高的信噪比条件(RSN>2dB)下具有较好的性能。 相似文献
842.
本文以有限富氏变换为基础,讨论了多点随机激励频响函数估计的一般原理和各种可能的激励方案。提出了重叠取样的数据处理方法,以充分利用有限记录所包含的信息,提高估计精度。在微机PDP-11/23系统上编制了可用于多达6点激励的数据采集-数据处理-频响函数估计的功能较强的软件,可用于4种工作方式:(1)连续随机,(2)周期随机,(3)瞬态随机,(4)全相干激励。在自由-自由梁和玻璃钢蜂窝结构直升机尾桨上进行了试验研究。对连续随机激励进行了重叠取样处理,结果表明该方法切实可行。 相似文献
843.
谱载下基于模糊Miner法则的疲劳寿命估算 总被引:7,自引:0,他引:7
在载荷谱中,当疲劳应力稍低于疲劳极限时,对构件是否造成损伤呈现出某种"模糊"过渡状态.运用模糊数学的隶属函数,建立了考虑"模糊"损伤状态的Miner法则.按照常规Miner法则和模糊Miner法则,分别给出了程序块谱作用下疲劳寿命的估算公式.实例估算与试验结果的对比表明:采用模糊Miner法则,可使疲劳寿命的估算误差减少18.33%. 相似文献
844.
《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2020,65(4):1225-1234
The primary system of Chinese global BeiDou satellite system (BDS-3) was completed to provide global services on December 27, 2018; this was a key milestone in the development process for BDS in terms of its provision of global services. Therefore, this study analyzed the current performance of BDS-3, including its precise positioning, velocity estimation, and time transfer (PVT). The datasets were derived from international GNSS monitoring and assessment system (iGMAS) tracking networks and the two international time laboratories in collaboration with the International Bureau of Weights and Measures (BIPM). With respect to the positioning, the focus is on the real-time kinematic (RTK) positioning and precise point positioning (PPP) modes with static and kinematic scenarios. The results show that the mean available satellite number is 4.8 for current BDS-3 system at short baseline XIA1–XIA3. The RTK accuracy for three components is generally within cm level; the 3D mean accuracy is 8.9 mm for BDS-3 solutions. For the PPP scenarios, the convergence time is about 4 h for TP01 and BRCH stations in two scenarios. After the convergence, the horizontal positioning accuracy is better than cm level and the vertical accuracy nearly reaches the 1 dm level. With respect to kinematic scenarios, the accuracy stays at the cm level for horizontal components and dm level for the vertical component at two stations. In terms of velocity estimation, the horizontal accuracy stays at a sub-mm level, and the vertical accuracy is better than 2 mm/s in the BDS-3 scenario, even in the Arctic. In terms of time and frequency transfer, the noise level of BDS-3 time links can reach 0.096 ns for long-distances link NT01–TP02 and 0.016 ns for short-distance links TP01–TP02. Frequency stability reaches 5E–14 accuracy when the averaging time is within 10,000 s for NT01–TP02 and 1E–15 for TP01–TP02. 相似文献
845.
T. Flohrer T. SchildknechtR. Musci 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2008,41(7):1010-1021
Two ESA-funded feasibility studies that aimed to develop observation strategies, to propose suitable sensor architectures, and to assess the expected performance of an independent European Space Surveillance System were carried out during the last years. The French company ONERA led two study teams comprising a number of European companies. 相似文献
846.
847.
848.
复杂系统的极限状态函数非线性程度较高,在进行可靠性分析时,易导致失效概率的计算误差大、效率低,针对上述问题,提出了树形马氏链(TMC)算法和基于该算法的可靠性分析方法。树形马氏链是对原始马尔可夫链的改进,其状态转移过程更加灵活,具备局部多链并行和自适应探索失效域边界的特性。树形马氏链通过多候选状态点扩大对失效域信息的收集,生成能充分反映失效分布特征的样本,对该样本进行自适应核密度估计得到近似最优的重要抽样分布密度函数,从而提高计算结果的准确度。文末的数值算例和工程算例验证了算法性能,计算结果表明算法对设计点、抽样起点的位置不敏感,处理强非线性及复杂串联系统问题时,能在少样本量下得到相对高准确度的计算结果,且在样本量改变时,计算结果相对稳定可靠;工程算例给出了所提方法在实际问题下的效率,体现了所提方法的工程应用价值。 相似文献
849.
Hristo S. Nikolov Doyno I. Petkov Nina Jeliazkova Stela Ruseva Kiril Boyanov 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2009
The aim of this research is to develop an effective approach being able to deal with the stochastic nature of remote sensing data. In order to achieve this objective it is necessary to structure the methodological knowledge in the area of data mining and reveal the most suitable methods for the prediction and decision support based on large amounts of multispectral data. The idea is to establish a framework by decomposing the task into functionality objectives and to allow the end-user to experiment with a set of classification methods and select the best methods for specific applications. As a first step, we compare our results from Bayesian classification based on non-parametric probability density estimates of the data to the results obtained from other classification methods. Tree scenarios are considered, making use of a small benchmark dataset, a larger dataset from Corine land cover project for Bulgaria and analyzing different features and feature selection methods. We show that the theoretically optimal Bayesian classification can also achieve optimal classification in practice and provides a realistic interpretation of the world where land cover classes intergrade gradually. 相似文献
850.