INVESTIGATION OF TIGHTLY COUPLED SINS/GPS INTEGRATION MIDCOURSE GUIDANCE FOR AIR-TO-AIR MISSILES

ＩＮＶＥＳＴＩＧＡＴＩＯＮＯＦＴＩＧＨＴＬＹＣＯＵＰＬＥＤＳＩＮＳ／ＧＰＳＩＮＴＥＧＲＡＴＩＯＮＭＩＤＣＯＵＲＳＥＧＵＩＤＡＮＣＥＦＯＲＡＩＲ┐ＴＯ┐ＡＩＲＭＩＳＳＩＬＥＳＦｕＬｉ（富立），ＦａｎＹａｏｚｕ（范耀祖），ＮｉｎｇＷｅｎｒｕ（宁文如）（Ｆ...     

航电系统并行检测过程与检测设备解耦方法

航电系统在使用或升级改造过程中进行可靠性检测是必不可少的。特别是在当前批量航电系统大量投入使用的背景下，迫切需要能高效、快速、准确地对系统进行可靠性检测。由于航电系统安全性要求高，内置检测软件受限，需要外置检测设备通过航电系统指定接口进行检测，检测过程也不允许出现任何泄露等行为。检测设备与具体航电系统耦合，检测过程与具体检测设备耦合，难以实现批量航电系统并行检测。为此，通过引入逻辑检测设备，给出了一种航电系统并行检测分层框架，解决检测设备与被测系统耦合的问题，同时也保证了检测的安全性。通过逻辑检测设备、检测跳转机和被测主机上检测行为的描述，给出了一种面向通用航电系统并行检测的检测设备协同机制，解决检测过程与检测设备耦合的问题，从而支持多个航电系统并行检测。最后，实现了一个通用航电系统并行检测系统，并通过实际应用和实验对比验证所提方法的有效性。     

DBV-RCS中一种提高时延性能的时隙分配方法(英文)

在DVB-RCS卫星通信中,为某个业务分配的时隙在MF-TDMA帧中的位置分布将影响该业务的时延特性。本文分别针对固定速率和实时可变速率业务,对MF-TDMA的帧长度、终端分配的时隙数量及位置分布与业务时延性能之间的关系进行了建模分析。理论分析表明时隙位置是影响业务时延的一个重要因素,位置分布越均匀,越能提高业务的时延性能;时隙均匀分配相比传统的时隙连续分配可以有效降低业务平均时延,且时延不随帧长的变化而变化;在时隙均匀分配方式下,提高实时可变速率业务的带宽分配可以更有效的提高时延性能。在DVB-RCS标准基础上,提出了一种与标准完全兼容的时隙均匀分配方法(TUAM),通过计算机仿真验证了算法的有效性以及建模分析的正确性,该算法可有效地保证业务具有极低的平均时延和时延抖动,使得VoIP等实时业务不会由于端到端时延过大而丢包,提高了DVB-RCS系统对于实时业务QoS的保障能力。     

2012–2014 China's Earth Observation and Earth Science Development

Human beings are now facing global and regional sustainable development challenges.In China, Earth observation data play a fundamental role in Earth system science research. The support given by Earth observation data is required by many studies, including those on Earth's limited natural resources, the rapid development of economic and social needs, global change, extreme events, food security, water resources, sustainable economic and urban development, and emergency response. Application operation systems in many ministries and departments in China have entered a stage of sustainable development, and the State Key Project of High-Resolution Earth Observation Systems has been progressing since 2006. Earth observation technology in China has entered a period of rapid development.     

An IPC-based Prolog design pattern for integrating backward chaining inference into applications or embedded systems

Prolog is one of the most important candidates to build expert systems and AI-related programs and has potential applications in embedded systems. However, Prolog is not suitable to develop many kinds of components, such as data acquisition and task scheduling, which are also crucial. To make the best use of the advantages and bypass the disadvantages, it is attractive to integrate Prolog with programs developed by other languages. In this paper, an IPC-based method is used to integrate backward chaining inference implemented by Prolog into applications or embedded systems. A Prolog design pattern is derived from the method for reuse, whose principle and definition are provided in detail. Additionally, the design pattern is applied to a target system, which is free software, to verify its feasibility. The detailed implementation of the application is given to clarify the design pattern. The design pattern can be further applied to wide range applications and embedded systems and the method described in this paper can also be adopted for other logic programming languages.     

Solar-photon sail hovering orbits about single and binary asteroids

Solar-photon sails can be useful for missions towards and about asteroids. Indeed, for the interplanetary transfer phase, missions to asteroids often require a large variation in inclination and solar-photon sails perform very well for such high energy missions. In the same way, solar-photon sails are also expected to perform well in the phase about the asteroid. This paper studies single and binary asteroids’ hovering regions by using a sailcraft. In order to consider a sailcraft with its own mass and shape, the mutual polyhedral method (usually used to study asteroid dynamics) is used; therefore, the sailcraft is designed by means of tetrahedra. The procedure to obtain the hovering regions about a single asteroid is presented and an accurate analysis of the control variables is carried out. Moreover, control torques required to maintain hovering orbits are obtained by considering the gravitational torques acting on the sailcraft due to the asteroid. In the end, the theory for hovering orbits is extended to binary-asteroid systems and applied to the binary system 1999 KW4.     

An adaptive sequential experiment design method for model validation

Efficient experiment design is of great significance for the validation of simulation model with high nonlinearity and large input space. Excessive validation experiment raises the cost while insufficient test increases the risks of accepting an invalid model. In this paper, an adaptive sequential experiment design method combining global exploration criterion and local exploitation criterion is proposed. The exploration criterion utilizes discrepancy metric to improve the space-filling property of the design points while the exploitation criterion employs the leave one out error to discover informative points. To avoid the clustering of samples in the local region, an adaptive weight updating approach is provided to maintain the balance between exploration and exploitation. Besides, the credibility distribution function characterizing the relationship between the input and result credibility is introduced to support the model validation experiment design. Finally, six benchmark problems and an engineering case are applied to examine the performance of the proposed method. The experiments indicate that the proposed method achieves satisfactory performance for function approximation in accuracy and convergence.     

A novel signal processing approach for LEO space debris based on a fence-type space surveillance radar system

The increase in space debris can seriously threaten regular activities in the Low Earth Orbit (LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable techniques to understand the potential motions of the LEO debris. In this paper, we propose a novel signal processing approach to detect and estimate the motions of LEO space debris that is based on a fence-type space surveillance radar system. Because of the sparse distribution of the orbiting debris through the fence in our observations, we formulate the signal detection and the motion parameter estimation as a sparse signal reconstruction problem with respect to an over-complete dictionary. Moreover, we propose a new scheme to reduce the size of the original over-complete dictionary without the loss of the important information. This new scheme is based on a careful analysis of the relations between the acceleration and the directions of arrival for the corresponding LEO space debris. Our simulation results show that the proposed approach can achieve extremely good performance in terms of the accuracy for detection and estimation. Furthermore, our simulation results demonstrate the robustness of the approach in scenarios with a low Signal-to-Noise Ratio (SNR) and the super-resolution properties. We hope our signal processing approach can stimulate further work on monitoring LEO space debris.     

NONLINEAR PREDICTIVE CONTROL FOR TERRAIN FOLLOWING

ＮＯＮＬＩＮＥＡＲＰＲＥＤＩＣＴＩＶＥＣＯＮＴＲＯＬＦＯＲＴＥＲＲＡＩＮＦＯＬＬＯＷＩＮＧＣｕｉＨｕｔａｏ（崔祜涛），ＧｅｎｇＹｕｎｈａｉ（耿云海），ＹａｎｇＤｉ（杨涤）（ＨａｒｂｉｎＩｎｓｔｉｔｕｔｅｏｆＴｅｃｈｎｏｌｏｇｙ，Ｐ．Ｏ．Ｂｏｘ１３７，...     

Period selection for integrated controller tasks in cyber-physical systems

Performance optimization of cyber-physical systems(CPS)calls for co-design strategies that handle the issues in both computing domain and physical domain.Periods of controller tasks integrated into a uniprocessor system are related to both control performance and real-time schedulability analysis simultaneously.System performance improvement can be achieved by optimizing the periods of controller tasks.This paper extends an existing model to select task periods in real-time for CPS with fixed priority controller tasks scheduled by rate-monotonic algorithm.When all the tasks can be integrated,the analytic solution of the problem is derived by using the method of Lagrange multipliers and gradient descent method is evaluated to be suitable online.To further deal with the condition that the system is overloaded,an integrated method is proposed to select periods of tasks online by selecting a subset of tasks first and then optimizing the periods for them.Experimental results demonstrate that our method yields near-optimal result with a short running time.