浅析国际经济合作的新方式—BOT

分析了ＢＯＴ的概念、功能及优点，指出ＢＯＴ的实质是一种债务与股权相混合的产权，它是集融资、建设、经营和转让为一体的多功能投资方式。ＢＯＴ方式对东道国来说既可以减少基础设施建设对政府财政的压力，又可以规避投资风险。但是ＢＯＴ方式是一个相当复杂的系统工程，复杂的合同体系、政府承诺、投资收益、利益冲突等诸多问题是运用ＢＯＴ方式所必须解决的。最后就ＢＯＴ方式在我国的运用提出了几点建议     

NUMERICAL STUDY OF TURBULENT SWIRLING FLOW IN COMBUSTOR

ＮＵＭＥＲＩＣＡＬＳＴＵＤＹＯＦＴＵＲＢＵＬＥＮＴＳＷＩＲＬＩＮＧＦＬＯＷＩＮＣＯＭＢＵＳＴＯＲＦｕＳｏｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＥｎｇｉｎｅｅｒｉｎｇＭｅｃｈａｎｉｃｓ，ＴｓｉｎｇｈｕａＵｎｉｖｅｒｓｉｔｙ，Ｂｅｉｊｉｎｇ，Ｃｈｉｎａ，１０００...     

HIGH TEMPERATURE MOIRE INTERFEROMETRY TECHNOLOGY

ＨＩＧＨ　ＴＥＭＰＥＲＡＴＵＲＥ　ＭＯＩＲＥ　ＩＮＴＥＲＦＥＲＯＭＥＴＲＹ　ＴＥＣＨＮＯＬＯＧＹＺｈａｎｇＧｕｏｚｈｏｕ；ＺｈｕａｎｇＹｕｎａｎ；Ｂ．Ｓ．Ｊ．Ｋａｎｇ，ＷａｎｇＦｅｎｇｘｉａｎｇ（Ｆａｃｕｌｔｙ４０３，ＢｅｉｊｉｎｇＵｎｉｖｅｒｓｉｔ...     

ANALYSIS OF SHEAR STRESS DISTRIBUTION IN HONEYCOMB AIRCRAFT WING STRUCTURE SUBJECTED TO (S.T.) TORQUE

ＡＮＡＬＹＳＩＳＯＦＳＨＥＡＲＳＴＲＥＳＳＤＩＳＴＲＩＢＵＴＩＯＮＩＮＨＯＮＥＹＣＯＭＢＡＩＲＣＲＡＦＴＷＩＮＧＳＴＲＵＣＴＵＲＥＳＵＢＪＥＣＴＥＤＴＯ（Ｓ．Ｔ．）ＴＯＲＱＵＥＫｈａｌｉｄＭ．Ｔａｈｉｒ，ＺｈａｎｇＸｉｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＦ...     

NUMERICAL STUDY OF TOPOLOGICAL STRUCTURE OF 3-D TRANSONIC VISCOUS FLOW FIELD (TVFF) INSIDE TURBINE CASCADE

ＮＵＭＥＲＩＣＡＬＳＴＵＤＹＯＦＴＯＰＯＬＯＧＩＣＡＬＳＴＲＵＣＴＵＲＥＯＦ３ＤＴＲＡＮＳＯＮＩＣＶＩＳＣＯＵＳＦＬＯＷＦＩＥＬＤ（ＴＶＦＦ）ＩＮＳＩＤＥＴＵＲＢＩＮＥＣＡＳＣＡＤＥＧｕｏＹａｎｈｕ，ＳｈｅｎＭｅｎｇｙｕ，ＷａｎｇＢａｏｇｕｏ（Ｄｅ...     

THE ROBUST OBSERVER FOR FAULTDETECTION OF THE SENSOR

ＴＨＥＲＯＢＵＳＴＯＢＳＥＲＶＥＲＦＯＲＦＡＵＬＴＤＥＴＥＣＴＩＯＮＯＦＴＨＥＳＥＮＳＯＲＷａｎｇＳｈｅｎｇｙｕａｎ（Ｆａｃｕｌｔｙ３０１，ＢｅｉｊｉｎｇＵｎｉｖｅｒｓｉｔｙｏｆＡｅｒｏｎａｕｔｉｃｓａｎｄＡｓｔｒｏｎａｕｔｉｃｓ，Ｂｅｉｊｉｎｇ，Ｃ...     

CREEP BEHAVIOUR OF T300/5222(C/E)COMPOSITE LAMINATEWITH CROSS-PLY

ＣＲＥＥＰＢＥＨＡＶＩＯＵＲＯＦＴ３００／５２２２（Ｃ／Ｅ）ＣＯＭＰＯＳＩＴＥＬＡＭＩＮＡＴＥＷＩＴＨＣＲＯＳＳ－ＰＬＹＫｏｕＣｈａｎｇｈｅ，ＬｕＭｅｎｇ，ＬｉｎＦｅｎｇ（ＢｅｉｊｉｎｇＵｎｉｖｅｒｓｉｔｙｏｆＡｅｒｏｎａｕｔｉｃｓａｎｄＡｓｔｒｏｎ...     

AN ANALYSIS OF PROPELLER LIFTING－LINE THEORY BY MATCHED ASYMPTOTIC EXPANSIONS

ＡＮＡＮＡＬＹＳＩＳＯＦＰＲＯＰＥＬＬＥＲＬＩＦＴＩＮＧ－ＬＩＮＥＴＨＥＯＲＹＢＹＭＡＴＣＨＥＤＡＳＹＭＰＴＯＴＩＣＥＸＰＡＮＳＩＯＮＳＣｈｅｎＺｅｍｉｎ；ＰａｎＪｉｅｙｕａｎ；ＷｕＬｉｙｉ（ＩｎｓｔｉｔｕｔｅｏｆＦｌｕｉｄＭｅｃｈａｎｉｃｓ，Ｂｅｉ...     

A NEW APPROACH FOR STABiLIZATION OF TETHERED SATELLITES DURING STATION KEEPING

ＡＮＥＷＡＰＰＲＯＡＣＨＦＯＲＳＴＡＢｉＬＩＺＡＴＩＯＮＯＦＴＥＴＨＥＲＥＤＳＡＴＥＬＬＩＴＥＳＤＵＲＩＮＧＳＴＡＴＩＯＮＫＥＥＰＩＮＧＪｉＹｉｎｇｃｕｎ；ＧａｏＷｅｉｂｉｎｇ（Ｔｈｅ７ｔｈＲｅｓｅａｒｃｈＤｉｖｉｓｉｏｎ，ＢｅｉｊｉｎｇＵｎｉｖｅｒ...     

CUTTING TEMPERATURE OF CBN TOOLS WHEN MACHINING STEEL OF MEDIUM HARDNESS

ＣＵＴＴＩＮＧＴＥＭＰＥＲＡＴＵＲＥＯＦＣＢＮＴＯＯＬＳＷＨＥＮＭＡＣＨＩＮＩＮＧＳＴＥＥＬＯＦＭＥＤＩＵＭＨＡＲＤＮＥＳＳＣｈｅｎＷｕｙｉ１（陈五一），ＤａｖｉｄＫ．Ａｓｐｉｎｗａｌ２，ＨａｎＳｈｕｗｅｎ３（韩书文）１ＢｅｉｊｉｎｇＵｎｉｖｅｒｓｉ...     

河南高校后勤改革中应用BOT模式研究

BOT是目前世界上较为流行的吸引社会资金加强基础设施建设的一种投资经营模式。把BOT切入到高校后勤基础设施建设领域是缓解高校扩招所造成的后勤“瓶颈”约束的有效方式，本文关重分析了BOT在河南高校后勤改革中的可行性与现实性及存在的问题，并针对这些问题提出了相应的对策和建议，为河南高校后勤改革提供了一种新的思路。     

Passive tracking scheme for a single stationary observer

While there are many techniques for bearings-only tracking (BOT) in the ocean environment, they do not apply directly to the land situation. Generally, for tactical reasons, the land observer platform is stationary; but, it has two sensors, visible and infrared, for measuring bearings and a laser range finder (LRF) for measuring range. There is a requirement to develop a new BOT data fusion scheme that fuses the two sets of bearing readings, and together with a single LRF measurement, produces a unique track. This paper first develops a parameterized solution for the target speeds, and then heading, prior to the occurrence of the LRF measurement, when the track is unobservable. At, and after the LRF measurement, a BOT, formulated as a least squares (LS) estimator, then produces a unique LS estimate of the target states. Bearing readings from the other sensor serve as instrumental variables in a data fusion setting to eliminate the bias in the BOT estimator. The result is an unbiased and decentralized data fusion scheme. Results from two simulation experiments have corroborated the theoretical development and show also that the scheme is optimal.     

UKF方法及其在方位跟踪问题中的应用

采用UKF(Unscented Kalman Filter)方法处理了平面内地面站对目标的方位跟踪的估计问题。目标的位置和速度由选定的高斯分布采样点来近似，在每个更新过程中，采样点随着状态方程传播并随着非线性测量方程变换，由此不但得到目标位置和速度的均值及较高的计算精度，而且避免了对非线性方程的线性化过程。仿真结果表明，UKF方法比传统的扩展卡尔曼滤波(EKF)算法有更高的估计精度，并能有效地克服非线性严重时，方位跟踪问题中很容易出现的滤波发散问题。     

Bearings-only and Doppler-bearing tracking using instrumentalvariables

In bearings-only tracking (BOT) or Doppler and bearing tracking (DBT), both common passive sonar problems, the measurement equations are nonlinear. To apply the Kalman filter, it is necessary either to linearize the equations or to embed the nonlinearities into the noise terms. The former sometimes leads to filter divergence, while the latter produces biased estimates. A formulation of BOT and DBT which has a constant state vector and simplifies the tracking problem to one of constant parameter estimation is given. The solution is by the instrumental variable method. The instrumental variables are obtained from predictions based on past measurements and are therefore independent of the present noisy measurements. The result is a recursive unbiased estimator. The theoretical developments are verified by simulation, which also shows that the formulation leads to near optimal estimators whose errors are close to the Cramer-Rao lower bound (CRLB)     

On the convergence of iterative methods for bearings-only tracking

This paper deals with the analysis of the convergence of iterative methods for bearings only tracking (BOT). A geometric and unified framework is developed. Explicit sufficient conditions ensuring convergence of iterative methods for maximization of the likelihood functional are then derived     

Discrete-time observability and estimability analysis for bearings-only target motion analysis

Observability in the context of bearings-only tracking (BOT) is still the subject of important literature. Different from previous approaches, where continuous-time analysis was considered, our approach relies on discrete-time analysis. It is then shown that this allows us to use directly and efficiently the simple formalisms of linear algebra. Using the direct approach, observability analysis is essentially reduced to basic considerations about subspace dimensions. Even if this approach is conceptually quite direct, it becomes more and more complex as the source-encounter scenario complexity increases. For complex scenarios, the dual approach may present some advantages essentially due to the direct use of multilinear algebra. New results about BOT observability for maneuvering sources are thus obtained. Observability analysis is then extended to unknown instants of source velocity changes. Even if observability analysis provides thorough insights about the algebraic structure of the BOT problem, the optimization of the observer maneuvers is essentially a control problem. Basic algebraic considerations prove that a relevant cost functional for this control problem is the determinant of the Fisher information matrix (FIM). So, a large part of this work is devoted to the analysis of this cost functional. Using multilinear algebra, general approximations of this functional are given. In order to involve only directly estimable parameters, the source bearing-rates are examined. Using these approximations, a general framework for optimizing the observer trajectory is derived which allow us to approximate the optimal sequence of controls. It is worth stressing that our approach does not require the knowledge of the source trajectory parameters and is still valid for a maneuvering source.     

Comments on “Discrete-time observability and estimabilityanalysis for bearings-only target motion analysis”

Discusses the extensive mathematical analysis carried out by the authors of the original paper [see ibid., vol. 33, no. 1, p. 178-201, 1997] and submits the following points. The authors used pseudo measurements for recasting the observability problem into a linear framework. They treated the bearings-only passive target tracking system as a deterministic system. It is already established that for deterministic systems, the pseudo measurements are linear functions of the states of the system, though the coefficient matrix is a nonlinear function of the original measurements, By using the pseudo measurements in a linear observer, global stability can be shown. However, if the pseudo measurement observer, for which the analysis is mostly carried out by the authors, is used in a noisy environment as a pseudo measurement filter (PMF), biased estimates are arrived at. Hence, though the approach of authors is quite direct and provides insights about the algebraic structure of the BOT problem, as pseudo measurements are used throughout the analysis is not of much use to the TMA community, as the nonlinear measurement equation along with measurement noise are required to be considered in the BOT problem to obtain unbiased results     

Periodic acoustic source tracking using propagation delayed measurements

There exist a large class of acoustic sources which have an underlying periodic phenomenon. Unlike the well-studied Bearings-Only Tracking(BOT) of an aperiodic acoustic source,this paper considers the problem of tracking a periodic acoustic source. For periodic acoustic tracking, the signal emission time is known. However, the true measurement reception time is unknown because it is corrupted by noise due to propagation delay. We augment the sensor’s signal reception time onto bearing measuremen...     

Closed-form posterior Cramer-Rao bounds for bearings-only tracking

We address the classical bearings-only tracking problem (BOT) for a single object, which belongs to the general class of nonlinear filtering problems. Recently, algorithms based on sequential Monte-Carlo methods (particle filtering) have been proposed. As far as performance analysis is concerned, the posterior Cramer-Rao bound (PCRB) provides a lower bound on the mean square error. Classically, under a technical assumption named "asymptotic unbiasedness assumption", the PCRB is given by the inverse Fisher information matrix (FIM). The latter is computed using Tichavsky's recursive formula via Monte-Carlo methods. Two major problems are studied here. First, we show that the asymptotic unbiasedness assumption can be replaced by an assumption which is more meaningful. Second, an exact algorithm to compute the PCRB is derived via Tichavsky's recursive formula without using Monte-Carlo methods. This result is based on a new coordinate system named logarithmic polar coordinate (LPC) system. Simulation results illustrate that PCRB can now be computed accurately and quickly, making it suitable for sensor management applications     

Bernoulli particle flter with observer altitude for maritime radiation source tracking in the presence of measurement uncertainty

For maritime radiation source target tracking in particular electronic counter measures（ECM）environment,there exists two main problems which can deteriorate the tracking performance of traditional approaches.The frst problem is the poor observability of the radiation source.The second one is the measurement uncertainty which includes the uncertainty of the target appearing/disappearing and the detection uncertainty（false and missed detections）.A novel approach is proposed in this paper for tracking maritime radiation source in the presence of measurement uncertainty.To solve the poor observability of maritime radiation source target,using the radiation source motion restriction,the observer altitude information is incorporated into the bearings-only tracking（BOT）method to obtain the unique target localization.Then the two uncertainties in the ECM environment are modeled by the random fnite set（RFS）theory and the Bernoulli fltering method with the observer altitude is adopted to solve the tracking problem of maritime radiation source in such context.Simulation experiments verify the validity of the proposed approach for tracking maritime radiation source,and also demonstrate the superiority of the method compared with the traditional integrated probabilistic data association（IPDA）method.The tracking performance under different conditions,particularly those involving different duration of radiation source opening and switching-off,indicates that the method to solve our problem is robust and effective.