一种低SNR下APSK载波相位盲同步方法

提出了一种工作在低信噪比(SNR)条件下,由最小均方误差(MMSE)鉴相和数字二阶闭环组成的幅相键控(APSK)载波相位盲同步方法.给出了载波相位同步环路的参数、采样速率匹配方法及其定点优化实现方案.与盲同步中常见的判决引导算法相比,MMSE鉴相算法无需符号硬判决,对符号误判不敏感,因此具有更大的鉴相范围,降低了相位模糊的重数;运算量虽较大,但可以采用查表法克服这一缺点.     

分布式多媒体系统中连续媒体的同步方案

随着各种新的网络设备、视频点播以及新的应用的大量出现,多媒体信息在网络传播信息中的比重越来越大,而多媒体同步作为多媒体系统的一个关键技术,其重要性越来越体现出来.无处不在的分布式网络更是对分布式多媒体同步提出了新的要求,因此针对分布式多媒体系统的复杂结构以及分布式网络中出现的越来越多的各种类型的连续媒体,提出一种不需要全局时钟的连续媒体的同步方案.这种方案设置一个信宿对信源的简单的反馈信息,利用这个反馈信息和巧妙的缓冲区的设计,克服了网络时延抖动对不同信宿之间数据同步回放的破坏;利用多个连续媒体之间的内在关系实现连续媒体间的同步,从而实现各种结构下的分布式网络中多媒体信息的完整同步.仿真表明这种同步方案能够保证多点对多点结构下多个信宿保持回放多媒体数据的同步.并且这种方案适用于各种不同结构的、传输不同类型连续媒体的分布式网络.     

节点含时变时滞的复杂网络的自适应同步(英文)

针对节点带有时变时滞、网络结构完全未知的不确定动态网络模型,基于Lyapunov稳定性理论,设计了复杂网络同步自适应控制器,给出了网络同步的充分条件和不确定动态网络的参数估计法,进而实现了该模型的同步。理论推导和数值结果均表明该同步方法的有效性和可行性。     

Data acquisition, analysis and applications of multi-sensor integration

This paper presents some key techniques for multisensor integration system, which is applied to the intelligent transportation system industry and surveying and mapping industry, e.g. road surface condition detection, digital map making. The techniques are synchronization control of multisensor, spacetime benchmark for sensor data, and multisensor data fusion and mining. Firstly, synchronization control of multisensor is achieved through a synchronization control system which is composed of a time synchronization controller and some synchronization subcontrollers. The time synchronization controller can receive GPS time information from GPS satellites, relative distance information from distance measuring instrument and send spacetime information to the synchronization subcontroller. The latter can work at three types of synchronization mode, i.e. active synchronization, passive synchronization and time service synchronization. Secondly, spacetime benchmark can be established based on GPS time and global reference coordinate system, and can be obtained through position and azimuth determining system and synchronization control system. Thirdly, there are many types of data fusion and mining, e.g. GPS/Gyro/DMI data fusion, data fusion between stereophotogrammetry and PADS, data fusion between laser scanner and PADS, and data fusion between CCD camera and laser scanner. Finally, all these solutions presented in paper have been applied to two areas, i.e. landborne intelligent road detection and measurement system and 3D measurement system based on unmanned helicopter. The former has equipped some highway engineering Co., Ltd. and has been successfully put into use. The latter is an ongoing research.     

Modeling for UAV resource scheduling under mission synchronization

Unmanned aerial vehicle (UAV) resource scheduling means to allocate and aggregate the available UAV resources depending on the mission requirements and the battlefield situation assessment. In previous studies, the models cannot reflect the mission synchronization; the targets are treated respectively,which results in the large scale of the problem and high computational complexity. To overcome these disadvantages, a model for UAV resource scheduling under mission synchronization is proposed, which is based on single-objective non-linear integer programming. And several cooperative teams are aggregated for the target clusters from the available resources. The evaluation indices of weapon allocation are referenced in establishing the objective function and the constraints for the issue. The scales of the target clusters are considered as the constraints for the scales of the cooperative teams to make them match in scale. The functions of the intersection between the "mission time-window" and the UAV "arrival time-window" are introduced into the objective function and the constraints in order to describe the mission synchronization effectively. The results demonstrate that the proposed expanded model can meet the requirement of mission synchronization, guide the aggregation of cooperative teams for the target clusters and control the scale of the problem effectively.     

输出耦合的复杂网络自适应牵制同步

针对输出耦合复杂网络的同步控制,提出一种自适应牵制控制方法以实现复杂网络同步. 不同于现有同步控制方法,该方法利用节点输出变量构造同步控制器,只需控制网络中的部分节点就可根据同步误差自适应地调节控制器增益. 利用Lyapunov方法给出复杂网络同步准则. 最后对小世界网络和无标度网络进行数值仿真,结果表明文中所设计的同步方法能有效实现复杂网络的同步.     

基于前后向协方差矩阵投影的信源数估计算法

针对均匀线阵的信源数估计问题,提出了一种基于前向-后向采样协方差矩阵正交投影的多目标信源数快速估计算法。该算法将经过酉变换后的前向-后向采样协方差矩阵的列矢量做Gram-Schmidt (GS)正交化,并将正交化后矢量的模值与一个自适应判决门限做比较来估计信源个数。该判决门限根据阵列采样协方差矩阵估计误差的渐近分布特性推导得到。计算机仿真证明了该算法的正确性和有效性。     

基于非线性输入控制实现受扰混沌系统同步

针对一类受扰混沌系统的同步控制,采用具有扇区非线性输入的自适应滑膜变结构控制器,设计了相应的控制律和自适应律。在该控制器的作用下,实现了驱动系统和响应系统的同步控制,且不受扇区非线性输入、参数失配及外部干扰的影响,具有有很强的鲁棒性。所设计的控制策略简单,易于实现,而且没有强加在系统上的限制条件,因此应用范围较广。理论分析和数值仿真证明了该方法的有效性。     

Design of an anti-jamming GPS receiver based on orthogonal projection method

Code delay and Doppler shifted frequency could not be captured by using the conventional GPS receiver in strong interference environments because the received GPS signals which traveled a long distance are very weak. An anti-jamming GPS receiver is proposed. The interferences in the received signals are cancelled by using subspace projecting technique, and the resulting interference-free signals are processed by a weight vector which maximizes the signal-to-noise ratio. Simulation is conducted, and the resu...     

基于协议同步水下传感器网络目标协同定位算法

为了解决水下目标的定位问题,讨论了一种基于水下传感器阵列网络的目标协同定位算法。该算法在实现水下节点同步的基础上,通过建立目标位置与距离差测量值的统计模型后依据最大似然准则完成目标定位。定位算法的实现采用分布-集中相结合的处理方法,在提高定位精度的同时大大节省了水下节点通信能耗。通过仿真实验验证了算法的有效性和可行性,实验结果表明该方法具有较好的同步及目标定位精度。

Abstract：

A collaborative target location algorithm for underwater acoustic sensor networks （UASN） was proposed. The algorithm was achieved based on time synchronization for high transmitting delay for UASN. Target location was estimated by maximum-likelihood methods based on proposed statistical model which was established by the relation between target position and measured range difference. The proposed algorithm adopts the distributed-centralized computation methods,which degrade the transmitting energy comparing with traditional centralized methods. The result of simulation shows the application validity and the more location performance of the algorithm.