火箭弹道附近大气参数辨识系统的研究

研究了利用雷达实测数据对沿火箭飞行弹道的大气参数进行辨识和外推落点的方法，进而提出了一个对效力射诸元进行修正的方法。在此基础上，对软件系统进行了设计。最后通过仿真试验，分析了系统的准确性。     

Performance analysis of the forgetting factor RLS algorithm

An analysis is given of the performance of the standard forgetting factor recursive least squares (RLS) algorithm when used for tracking time-varying linear regression models. Three basic results are obtained: (1) the ‘P-matrix’ in the algorithm remains bounded if and only if the (time-varying) covariance matrix of the regressors is uniformly non-singular; (2) if so, the parameter tracking error covariance matrix is of the order O(μ + γ²/μ), where μ = 1 - λ, λ is the forgetting factor and γ is a quantity reflecting the speed of the parameter variations; (3) this covariance matrix can be arbitrarily well approximated (for small enough μ) by an expression that is easy to compute.     

Identification of Hammerstein systems with asymmetric dead-zone nonlinearities using canonical parameterized model

A non-iterative identification method with parameterization of the unknown dead-zone is proposed for Hammerstein systems in presence of asymmetric dead-zone nonlinearities.The canonical parameterized model which is a single expression without segmentation is utilized to describe the dead-zone,based on which a universal-type parametric model can be established to approximate the entire system.This model can be established without separating the nonlinear part from the linear part.The dead-zone parameters and the coefficients in the linear transfer function can be estimated simultaneously according to the proposed algorithm.Numerical experiments are presented to illustrate the effectiveness of the proposed scheme.     

中国民族乐器的特征值提取和分类

文章处理的是中国民族乐器的识别分类问题.提出了一种基于合适的音频特征值选择方法,该方法在基于MPEG_7标准的声学特征,在特征值的时间特性上进行改造,并加入改进后的特征值.从提取的音频特征值数据集选择K-最近邻算法.特别是对没有加入新特征值和加入新特征值后生成分类器模型的性能进行了比较.实验结果证明新特征值的加入提高了分类器的F1度量值.     

基于动态贝叶斯网络的汉语方言辨识

方言的差异性在语音层面上反映在时间序列结构的不同。传统的语音建模方法只能建立稳定的时间序列结构,而方言语音是典型的动态时变时间序列结构。为了更好地提取方言时间序列结构,文中采用动态贝叶斯网路（DBN）进行建模分析,并对DBN的构建方法进行了研究,这种结构与常用于语音识别中的隐马尔可夫模型的不同之处在于它揭示多个时间片内的节点之间的影响。文中探索了不同结构和参数对识别效果的影响。文中的研究表明动态贝叶斯网络对汉语方言的识别比传统方法要好,识别率达到了98．9％。     

THz-TDS signal analysis and substance identification via the conformal split

A terahertz time-domain spectroscopy(THz-TDS)imaging system can obtain high-dimensional signals with substance fingerprint information.By introducing geometric algebra,a novel signal analysis approach to THz-TDS signals is developed based on an optical physical mechanism.Using this approach,signals are represented with vectors in the high-dimensional real vector space.Geometric distribution properties and algebraic relationships of THz-TDS signals are deduced.It is proved that every complex refractive index of substances relates to a unique 2-blade,the vectors corresponding to the samples of the same substance are collinear and belong to the intrinsic 2-blade of the substance.When decomposed through the conformal split with respect to a 2-blade,THz-TDS signals of high dimensionality can be related to vectors in a 2-dimensional subspace.Based on the conformal split properties we deduced,two criteria for substance identification on the basis of THz-TDS signals are proposed.Accordingly,a novel substance identification method via the conformal split is presented.In the method,the 2-blade related to each "known" substance is calculated with two vectors corresponding to THz-TDS signals measured from samples of the substance but with dierent thicknesses.Using the conformal split with respect to those 2-blades,an identified vector corresponding to a THz-TDS signal is linearly related to the vector in a 2-dimensional subspace.The substance of a sample can be identified using criteria on the projected vectors in the subspaces.This method can contribute to accurate classification and identification.Finally,two experiments are presented that show the feasibility and accuracy of this method.     

An adaptive directional MAC protocol for ad hoc networks using directional antennas

A directional antenna can bring benefits in terms of power consumption,spatial reuse,etc.To exploit the advantage of directional antennas and improve the transmission throughput highest,this paper proposes an adaptive directional MAC protocol(ADMAC).By varying the transmission strategy according to the usage of the channel,nodes can send RTS and CTS packets omni-directionally or directionally.Also,this paper proposes a calculation method of virtual carrier sensing with collision avoidance.By the method,ADMAC protocol makes more pairs of nodes transmit and receive data simultaneously without interferences than other MAC protocols for directional antennas.The paper compares the simultaneous delivering nodes and network throughput of ADMAC with DMAC,DVCS and SDMAC under different experiment parameters.The simulation results show that the throughput of ADMAC is higher than the throughput of DMAC,DVCS and SDMAC protocols.     

Driving intention recognition and behaviour prediction based on a double-layer hidden Markov model

We propose a model structure with a double-layer hidden Markov model (HMM) to recognise driving intention and predict driving behaviour. The upper-layer multi-dimensional discrete HMM (MDHMM) in the double-layer HMM represents driving intention in a combined working case, constructed according to the driving behaviours in certain single working cases in the lower-layer multi-dimensional Gaussian HMM (MGHMM). The driving behaviours are recognised by manoeuvring the signals of the driver and vehicle state information, and the recognised results are sent to the upper-layer HMM to recognise driving intentions. Also, driving behaviours in the near future are predicted using the likelihood-maximum method. A real-time driving simulator test on the combined working cases showed that the double-layer HMM can recognise driving intention and predict driving behaviour accurately and efficiently. As a result, the model provides the basis for pre-warning and intervention of danger and improving comfort performance.     

智能高压开关柜自动识别系统研究

开关柜误操作造成的事故越来越成为影响电力行业安全生产的主要事故类型之一。鉴于此,文章研究了一套智能高压开关柜自动识别系统。本系统中开关柜侧的装置在柜门被打开时可播放语音提示信息,并将开关柜开门关门等事件通过PT2262编码,再无线发送传输到后台。后台接收后,经F330单片机软件解码,并在触摸屏上记录事件的类型和时间。该系统对防止由于工作人员选错开关柜造成的误操作有一定的效果。     

RFID技术在电网资产全寿命周期管理应用模式探讨

为了配合电网企业建立RFID资产实物标识电子身份证系统,集成资产的实物流、信息流和价值流,实现账、卡、物相符一致,实现资产管理各阶段信息共享及开展资产全生命周期的跟踪管理,同时也为了提高电网设备的现代化管理水平,文章总结了多年来在电网设备RFID实物标识实施的切身体会,对RFID在国内外电力电网设备的应用方面进行了研究,重点对RFID技术在电网资产全寿命周期管理模式进行了探讨。