JTIDS relative navigation and data registration

The Joint Tactical Information Distribution System (JTIDS), an integrated communication, navigation, and identification system, provides a solution to the critical data registration problem facing the joint US military services today, namely, the establishment, in real-time, of accurately correlated positions and tracks for all friendly, unknown, and hostile targets in an operational area, thus providing the total situation awareness required for tactical and C² operations. The fundamental relationships of JTIDS navigation and the error analysis for target registration and target hand-off in both geodetic and relative grid coordinates are presented. Simulation results are provided for two scenarios to demonstrate the level of improvement that JTIDS navigation can have on situation awareness, target acquisition, and weapon delivery. Specifically, it is shown that accurate data registration can be achieved by as few as two JTIDS members, with or without accurate knowledge of geodetic position     

Principles and Simulation of JTIDS Relative Navigation

The time-synchronous operation and high accuracy time-of arrival (TOA) measurement capability of Joint Tactical Information Distribution System (JTIDS) terminals makes possible a high performance relative nagivaton (RELNAV) function through addition of only software in the terminal's computer program. The principles of operation, the basic observation equations, and the system architecture for both absolute (geographic) and relative navigation are described. Sequential passive ranging by means of the TOA measurements, in conjunction with appropriate source selection logic and a recursive (e. g., Kalman) filter mechanization are employed to determine the user's position, velocity, and time bias. The filter algorithms and error sources, the software functional flow, and some simulation results are presented.     

Stability of the Decentralized Estimation in the JTIDS Relative Navigation

The joint tactical information distribution system (JTIDS) includes a relative navigation capability with which each member can estimate its own position by utilizing the broadcast position estimates of other members plus the measured times of arrival of the radio signals. Previous simulation studies of the system have shown that unrestricted ranging between members can produce unstable navigation errors, but a covariance-based hierarchy may be stable. We have succeeded in proving, analytically, the stability of a closely related organization?a fixed-rank hierarchy. For all ownstate organizations we present time-domain equations for computing estimation-error covariance and for analyzing stability. A simple simulation is able to demonstrate the stability issues.     

均方意义下三维雷达无偏转换测量误差协方差阵的推导

在以前的研究中,无偏转测量误差协方差阵是基于当前测量值得到的.为了能利用所有历史数据以得到更精确的转换测量误差协方差阵估计,文中在均方意义下,推导了三维雷达的最优无偏转换测量误差协方差阵.     

JTIDS链路性能分析与仿真

从链路层的角度出发,介绍了美军联合信息分发系统(JTIDS)的技术体制;并对其传输性能进行了分析;在用SPW软件建立的系统的链路仿真平台上,系统在不同条件下,例如高斯白噪声、多网干扰、点频及部分频带干扰以及非理想同步,对误码性能进行了仿真测试;最后,还对JTIDS系统的抗干扰能力进行了评估。     

基于最近邻的协同定位模型研究

协同定位是多平台编队中的关键问题之一,是实现无人机、舰艇编队等定位控制的基础.从信息融合的角度研究了编队协同中的导航定位问题,提出了一种新的协同定位算法.推导了二维情况下,基于最近邻准则确定伪测量和相伴误差协方差矩阵的模型.仿真分析表明,该算法可以稳定地完成己平台运动要素的估计.     

Detection of Target Maneuver Onset

A classical maneuvering target tracking (MTT) problem (detection of the onset of a target maneuver) is presented in two parts. The first part reviews most traditional maneuver onset detectors and presents results from a comprehensive simulation study and comparison of their performance. Six algorithms for maneuver onset detection are examined: measurement residual chi-square, input estimate chi-square, input estimate significance test, generalized likelihood ratio (GLR), cumulative sum, and marginalized likelihood ratio (MLR) detectors. The second part proposes two novel maneuver onset detectors based on sequential statistical tests. Cumulative sums (CUSUM) type and Shiryayev sequential probability ratio (SSPRT) maneuver onset detectors are developed by using a likelihood marginalization technique to cope with the difficulty that the target maneuver accelerations are unknown. The proposed technique gives explicit solutions for Gaussian-mixture prior distributions, and can be applied to arbitrary prior distributions through Gaussian-mixture approximations. The approach essentially utilizes a~priori information about the maneuver accelerations in typical tracking engagements and thus allows to improve detection performance as compared with traditional maneuver detectors. Simulation results demonstrating the improved capabilities of the proposed onset maneuver detectors are presented.     

Comparison of two-sensor tracking methods based on state vectorfusion and measurement fusion

There are two approaches to the two-sensor track-fusion problem. Y Bar-Shalom and L. Campo (ibid., vol.AES-22, 803-5, Nov. 1986) presented the state vector fusion method, which combines state vectors from the two sensors to form a new estimate while taking into account the correlated process noise. The measurement fusion method or data compression of D. Willner et al. (1976) combines the measurements from the two sensors first and then uses this fused measurement to estimate the state vector. The two methods are compared and an example shows the amount of improvement in the uncertainty of the resulting estimate of the state vector with the measurement fusion method     

Ll-CFAR: a flexible and robust alternative

A new family of constant false alarm rate (CFAR) processors is introduced. An Ll-CFAR forms its noise power estimate by linearly filtering ranked samples from the reference set; the weights of this combination, however, depend not only on the rank, but also on the relative proximity of the sample to the cell under test. From the class of Ll-CFARs may be chosen members which effectively censor spurious targets; members which exhibit impressive control of false alarm in the presence of a clutter edge; and members which are robust against both such inhomogeneities. While the design of such schemes is involved, their implementation is not significantly more burdensome than that of plain ordered statistic CFAR (OS-CFAR). After a discussion of the stochastic training of Ll-CFAR, the performance is thoroughly assessed under the most commonly encountered instances of environmental conditions, and compared with those of classical CFAR techniques     

基于近似技术的高亚声速运输机机翼气动/结构优化设计

探索基于近似技术的高亚声速运输机机翼气动/结构多学科设计优化方法,建立了基于近似技术的多学科设计优化框架。气动学科采用全速势方程加黏性修正进行翼身组合体跨声速流动的气动计算,结构学科采用有限元分析方法进行应力与变形计算。采用均匀设计法给出若干样本点,分别采用二次响应面、Kriging模型和径向基神经网络等多种近似技术,构造气动学科和结构学科的近似分析模型,并对几种近似模型精度进行了分析和比较。研究发现,Kriging模型和二次响应面具有几乎等同的较高的近似精度,神经网络的近似精度则较差,由于二次响应面计算量更小,故最终选定为机翼设计优化的近似方法。以升阻比和结构重量为目标,考虑升力、机翼面积以及应力和应变约束条件,对运输机机翼4个外形参数和4个结构参数进行多目标、多约束优化设计。优化后的机翼具有较好的气动/结构综合性能,表明本文方法是可行的。     

基于INS/JTIDS组合的JTIDS相对导航

简要地介绍了联合战术信息分发系统(JTIDS)的相对导航原理,分析了低动态用户相对导航卡尔曼滤波算法对于高动态用户的局限性。在 INS/JTIDS 组合导航的基础上,探讨了 JTIDS的相对导航。     

基于UKF算法的航天器自主导航研究

针对卫星上配备的多种姿态敏感器，进行了导航方案的设计，利用姿态敏感器的测量信息实现轨道参数的估计。通过UKF(Unscented Kalman Filter)算法研究了卫星的自主导航问题，较传统的扩展卡尔曼滤波方法(EKF)简化了计算过程。数值仿真结果验证了该导航算法的优越性。     

Multimodule parallel series-loaded resonant converters

The design and implementation of a multimodule parallel series-loaded resonant (SLR) converter system is presented. The SLR converter to be paralleled is operated in the n=2 discontinuous mode (DCM). Its dc analysis and dynamic modeling are made. In parallel operation, an average control technique is proposed to compensate the mismatch in current control characteristics of each parallel converter. Good dynamic and static current sharing characteristics are obtained. In addition, to obtain good output voltage regulating control performance, a design procedure is presented to find the parameters of feedback voltage controller according to the prescribed specifications     

增量粒子滤波方法

提出增量粒子滤波的概念,建立增量粒子滤波模型及其分析方法,给出其算法.对于工程实际中存在的由未知系统误差的影响而无法精确建立量测似然函数的这一问题,提出增量粒子滤波方法,通过对带有未知系统误差的量测数据进行校正,获得精确的量测似然函数,建立精确的增量粒子滤波模型,从而消除这种未知系统误差的影响,减少重采样的次数,较好地保存了粒子的多样性,提高非线性滤波的精度.模拟仿真中,重采样的次数减少41.7%,滤波误差均值和均方根误差分别降低了45.3%和70.1%,有效地改善了滤波的效果.      

Comparison of two measurement fusion methods forKalman-filter-based multisensor data fusion

Currently there exist two commonly used measurement fusion methods for Kalman-filter-based multisensor data fusion. The first (Method I) simply merges the multisensor data through the observation vector of the Kalman filter, whereas the second (Method II) combines the multisensor data based on a minimum-mean-square-error criterion. This paper, based on an analysis of the fused state estimate covariances of the two measurement fusion methods, shows that the two measurement fusion methods are functionally equivalent if the sensors used for data fusion, with different and independent noise characteristics, have identical measurement matrices. Also presented are simulation results on state estimation using the two measurement fusion methods, followed by the analysis of the computational advantages of each method     

飞行器RCS近场测试技术研究进展与工程应用

雷达散射截面(RCS)测试是隐身技术和目标特性研究的基础。无论是研究物体的电磁散射特性还是研制具有突防能力的隐身武器系统,RCS测试都具有非常重要的意义。通过RCS测试可以验证电磁散射计算的理论和方法,更重要的是,对部分飞行器目标进行电磁散射理论计算非常困难,而通过测试可以直观地获得目标的电磁散射特性数据,从而避开复杂的电磁仿真计算。与外场、紧缩场RCS测试方法相比,近年来得到广泛应用与发展的RCS近场测试方法在飞行器目标的散射特性测试方面具有效率高、成本低的优势。介绍了飞行器RCS测试评估方法,综述了国内外RCS近场测试技术研究的最新进展与工程应用实例,分析展望了飞行器RCS近场测试技术面临的机遇与挑战。     

高超声速飞行器后体/尾喷管一体化设计

采用实数编码、小生境技术、稳态复制策略、多目标定级排序技术,改进了标准遗传算法,建立了多目标遗传算法,并将其应用于高超声速飞行器后体/尾喷管的一体化设计,以尾喷管的推力、升力和附加俯仰力矩系数为性能目标,得到了优化问题的Pareto最优前沿面,优化结果显示了设计变量与性能目标之间的关系,并提出了建议的外形方案。该优化算法可进一步推广应用于包含更加精确的流动模型的优化设计当中。     

具有未知输入干扰的观测器设计

提出一种全阶比例积分观测器。该观测器包含有估计误差的比例和积分回路,可同时得到状态和未知输入估计。分析了比例积分观测器的结构和估计性能,给出并证明了其存在条件,由于存在条件弱于未知输入观测器,该比例积分观测器可以更广泛地应用于基于观测器的技术方案。通过一个飞行器线性化模型,进行了比例积分观测器设计。仿真结果表明,比例积分观测器的估计性能优于常规 Luenberger观测器     

MOTION COMPENSATION FOR HIGH RESOLUTION AIRBORNE SAR WITH IMU & GPS

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Disturbance observer-based robust guidance for Mars atmospheric entry with input saturation

With low-lifting capability taken into account,a robust guidance law for Mars entry vehicles with low lift-to-drag ratios,such as Mars Science Laboratory(MSL),is presented.Consider the nonlinear term in the drag dynamic equation and bounded disturbances as a lumped disturbance,and design a linear disturbance observer(DOB)to estimate it.With the consideration of the control input saturation,an innovative sliding surface and a virtual system are introduced to design the guidance law.Analyses of disturbance observer performance and Lyapunov-based transient performance are also presented.It is shown that the drag tracking error can be adjustable by explicit choices of design parameters.Simulation results confirm the effectiveness of the proposed guidance law.