Decentralized sliding-mode control for spacecraft attitude synchronization under actuator failures

This paper examines attitude synchronization and tracking problems with model uncertainties, external disturbances, actuator failures and control torque saturation. Two decentralized sliding mode control laws are proposed and analyzed based on algebraic graph theory. Using Barbalat׳s Lemma, it is shown that the control laws guarantee each spacecraft approaches the desired time-varying attitude and angular velocity while maintaining attitude synchronization among the other spacecraft in the formation. The first controller is designed in the presence of model uncertainties, external disturbances, and actuator failures. The results are extended to the case with control input saturation in the second controller. Both control laws do not require online identification of failures. Numerical simulations are presented to show the effectiveness of the proposed attitude synchronization and tracking approaches.     

A Self-organizing Bearings-only Target Tracking Algorithm in Wireless Sensor Network

In the bearings-only target tracking, wireless sensor network (WSN) collects observations of the target direction at various nodes and uses an adaptive filter to combine them for target tracking. An efficient network management is necessary to gain an optimal tradeoff between locating accuracy and energy consumption. This article proposes a self-organizing target tracking algorithm to select the most beneficial subset of nodes to track the target at every snapshot. Compared with traditional methods, this scheme avoids the need for keeping global position information of the network as in greedy selection. Each node judges its future usefulness depending on the knowledge of its own position and using simple mathematics computation. Simulations indicate that this scheme has locating accuracy comparable to the global greedy algorithm. Also, it has good robustness against node failure and autonomous adaptability to the change of the network scale. Furthermore, this algorithm consumes limited energy because only a portion of nodes partakes in the selection at every snapshot.     

反辐射导弹末制导跟踪滤波技术研究

在分析反辐射导弹末制导段特点的基础上，针对其跟踪模型不满足可观测性要求的问题，提出了一种基于方位／俯仰角的跟踪方案。理论分析和仿真验证了该方案具有较高的跟踪精度和实时性，并具有较好的通用性，为解决不可观测情况下的高精度稳定跟踪问题提供了一种新的思路。     

ESA’s process for the identification and assessment of high-risk conjunction events

ESA’s Space Debris Office provides an operational service for the assessment of collision risks of ESA satellites. Currently, the ENVISAT and ERS-2 missions in low Earth orbits are covered by this service. If an upcoming high-risk conjunction event is predicted based on analysis of Two-Line Element (TLE) data from the US Space Surveillance Network, then independent tracking data of the potential high-risk conjunction object are acquired to improve the knowledge of its orbit. This improved knowledge and the associated small error covariances derived from the orbit determination process scale down the position error ellipsoid at the conjunction epoch. Hence, for the same miss-distance, in most cases an avoidance manoeuvre can be suppressed with an acceptable residual risk.     

无人船数据链SC-FDE突发信号载波同步方法

设计了一种适用于无人船组网数据链的SC-FDE突发通信时隙的帧结构,通过计算前导序列和独特字(UW)序列的自相关函数,调整差分相关长度,提出一种适用于多模式帧结构的载波同步方法。最后,通过仿真评估了所提出算法在不同条件下的有效频偏估计范围、频偏估计精度等性能,为算法工程实现的主要设计参数提供参考。     

Command filtered sliding mode trajectory tracking control for unmanned airships based on RBFNN approximation

This paper presents two sliding mode controllers to address the trajectory tracking problem of unmanned airships in the presence of unknown wind disturbance. The sliding mode controller proposed first is designed by a fast power rate reaching law(FPRRL). The disturbance is compensated by a radial basis function neural network (RBFNN). To avoid the aggressive adaptation, the controller is augmented by a command filter. The controller provides good robustness and tracking performance with no chattering under the hypothesis of ideal wind field. However, serious chattering occurs when simulation is performed under discontinuous wind field. To simulate the wind in practice, the wind field employed in the simulation is generated by the combination of a constant field and white noise. The controller is improved subsequently with an extended model to suppress the chattering induced by the white noise. The enhanced controller manipulates the derivation of system input, thus attenuating the chattering. Stability analysis shows that both controllers drive the tracking error into a controllable small region near zero. Simulations are provided to validate the performance of the proposed controllers under different wind hypothesis.     

MANEUVERING TARGET TRACKING USING FUZZY COMPENSATOR

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基于自适应Siamese网络的无人机目标跟踪算法

无人机已被广泛应用到军事和民用领域，目标跟踪是无人机应用的关键技术之一。针对无人机跟踪过程中目标易发生形变、遮挡等问题，提出一种基于自适应Siamese网络的无人机目标跟踪算法。首先，利用2个卷积网络构建一个5层Siamese网络，通过对模板特征与当前帧图像特征进行卷积得到目标位置；其次，利用高斯混合模型对以往的预测结果进行建模并建立目标模板库；然后，从模板库中挑选出最可靠的目标模板并以此更新Siamese网络的匹配模板，使Siamese网络能够自适应目标的外观变化；最后，引入回归模型进一步精确目标位置，降低背景对网络性能的影响。仿真实验结果表明：该算法有效降低了形变、遮挡等情况对跟踪性能的影响，具有较高的准确率。     

CDAS中频跟踪遥测接收机

介绍了ＦＹ－２号ＣＤＡＳ中频跟踪遥测接收机的设计原理及实现方法。研制成的中频跟踪遥测接收机具有捕获时间短、动态范围大、跟踪范围较宽、零点漂移小的特点。通过切换控制可实现对日本ＧＭＳ卫星的自动跟踪。设备的测试指标满足并优于任务书的要求。     

多雷达跟踪处理在空中交通管制领域的应用

多雷达跟踪处理系统是目前国际上最先进的空中交通管制（ＡＴＣ）系统,广州空中交通管制中心是国内第一家使用融合式多雷达处理方式的管制中心。描述了目前国际上实现多雷达跟踪的几种方法,并结合广州空中交通管制中心多雷达跟踪处理系统的建设,指出我雷达跟踪处理系统建设过程中需要解决的几个问题及解决方法。