New structure of Kalman filter for radar networking

Due to the different data rates of the sensors and communication delays in the radar netting, the research of the asynchronous multisensor data fusion problem is more practical than that of the synchronous one. Through discussing the sequential approach, which is the classical asynchronous multisensor data fusion algorithm, a new algorithm based on distributed computation structure is proposed. The new algorithm can meet the requirement of real-time computation of netting fusion system, and is more practical for engineering compared with the classical sequential approach. Simulation results show the validity of the presented algorithm.

Layer-Constrained Triangulated Irregular Network Algorithm Based on Ground Penetrating Radar Data and Its Application

In this paper,a layer-constrained triangulated irregular network（ LC-TIN） algorithm is proposed for three-dimensional（ 3 D） modelling,and applied to construct a 3 D model for geological disease information based on ground penetrating radar（ GPR） data. Compared with the traditional TIN algorithm,the LCTIN algorithm introduced a layer constraint to the discrete data points during the 3 D modelling process,and it can dynamically construct networks from layer to layer and implement 3 D modelling for arbitrary shapes with high precision. The experimental results validated this method,the proposed algorithm not only can maintain the rationality of triangulation network,but also can obtain a good generation speed. In addition,the algorithm is also introduced to our self-developed 3 D visualization platform,which utilized GPR data to model geological diseases. Therefore the feasibility of the algorithm is verified in the practical application.

Wireless Networked Cognitive Radar System:Overview and Design Guidelines

Cognitive radar is a concept proposed by Simon Haykin in 2006 as a new generation of radar system that imitates human cognitive features.Different from the adaptive signal processing at the receiver in adaptive radar,the cognitive radar realizes closedloop adaptive policy adjustment of both transmitter and receiver in the continuous interaction with the environment.As a networked radar may significantly enhance the flexibility and robustness than its monostatic counterpart,the wireless networked cognitive radar(WNCR)attracts increasing research.This article firstly reviews the concept and development of cognitive radar,especially the related researches of networked cognitive radar.Then,the co-design of cognitive radar and communication is investigated.Although the communication quality between radar sensing nodes is the premise of detection,tracking,imaging and anti-jamming performance of the WNCR,the latest researches seldom consider the communication architecture design for WNCR.Therefore,this article mainly focuses on the proposal of WNCR concept based on the researches of cognitive radar and analyzes research challenges of WNCR system in practical application,and the corresponding guidelines are proposed to inspire future research.

雷达转台液压系统可靠性影响评价预测研究

针对当前雷达液压系统可靠性合理建模及影响评价体系难以构建及评估的现状,以某典型机载雷达转台液压系统为研究对象,提出一种基于危害性分析的可靠性影响评价预测方法。利用模糊判断矩阵以获得指标的权重系数,对可靠性进行建模仿真分析,从而为准确预测系统的可靠性提供理论支撑。在此基础上,通过对转台液压系统故障原因进行全面梳理,构建了液压系统可靠性影响评价体系。运用Elman网络,结合实证分析对可靠性影响评价模型进行预测,为雷达转台液压系统故障的综合分析提供了整体解决方案。这也为进一步提高雷达液压系统的可靠性提供了合理思路。该研究可为雷达其他分系统可靠性分析提供参考。

主瓣干扰下雷达组网主被动联合跟踪调度方法

主瓣干扰是雷达面临的重要威胁,通过多雷达组网协同发挥体系效能是对抗此类威胁的有效手段。文中针对主瓣干扰下雷达组网协同探测系统跟踪性能下降的问题,提出一种基于强化学习的多目标跟踪主被动联合的资源调度方法。首先,给出干扰条件下的雷达主动量测模型和被动定位模型;然后,利用雷达在主动和被动工作模式下精度随干扰强度的不同变化趋势,设计了以最小化跟踪误差为目标的评价函数;最后,使用近端策略优化算法的强化学习智能体进行雷达主被动工作模式选择,将剩余的多雷达驻留时间分配作为凸优化问题进行求解。仿真实验结果表明,该方法相比传统的雷达工作模式分配策略,能够提升雷达组网协同探测系统在强干扰环境下的跟踪性能,从而提高系统抗干扰能力。

SystemVue在雷达组网仿真系统中的应用

目前,国内外对于SystemVue的应用主要集中在通信领域,而在雷达系统仿真中的应用比较少。SystemVue具有优越的仿真性能,能够满足对雷达组网仿真系统的需求,主要研究了其在雷达组网数据融合系统中的应用。简要介绍了SystemVue的基本情况;针对火控雷达组网,结合Matlab,在SystemVue仿真平台中完成了对数据融合系统的设计与构建;验证了利用SystemVue实现数据融合系统仿真的可行性,同时展现了SystemVue在系统仿真中的直观性和灵活性。SystemVue仿真软件因独特的优势将在雷达系统仿真领域中具有很好的应用前景。

对海雷达区域集成系统抗干扰效能评估研究

区域集成系统作为一种新形式对海雷达组网系统,其抗干扰效能是衡量该系统的重要指标之一。首先介绍区域集成系统的构建,然后基于单部雷达受干扰条件下的探测距离公式以及对海雷达视距方程,提出区域集成组网抗干扰系数模型。利用熵权法分析各站对区域集成组网抗干扰效能贡献度,对不同性能雷达通过系统组网后进行仿真分析和评估。通过与以往文献模型仿真数据对比,提出区域集成组网系统抗干扰能力评估指标,并验证其合理性。

Network Calculus在机载雷达设计中的应用

Network Calculus是一种基于最小加代数理论来分析网络数据流的方法,它已被广泛应用于工业、航空和航天的复杂网络设计中。机载雷达要求系统具有高实时性,尤其对嵌入式任务的调度有严格的时序要求。在机载雷达的设计中应用此理论,可以在系统前期设计时提供实时性的理论依据和保障,为雷达系统的实时性设计提供了一种方法和手段。

基于脉冲交错的分布式雷达组网系统波束驻留调度

该文针对分布式雷达组网系统提出了一种基于脉冲交错的实时波束驻留调度算法。该算法引入时间指针向量,用于指示何时选择具有最高综合优先级的波束驻留任务,该任务被分配至交错时间利用程度最低的雷达节点,有效减少了调度过程中引入的时间空隙;同时,脉冲交错分析方法决定对于被分配的波束驻留任务是否可以在相应的雷达节点成功调度执行,其中,引入时隙占用矩阵和能量消耗矩阵来表征各个雷达节点的时间与能量资源使用情况,简化了交错分析过程,并实现了具有不同脉冲重复周期与个数的波束驻留任务之间的交错。此外,为了提高波束驻留调度的效率,所提算法还引入交错时间利用率门限自适应选择时间指针的滑动步长。仿真结果表明,该文所提算法能实现分布式雷达组网系统实时的波束驻留调度,并能获得较现有波束驻留调度算法更好的调度性能。

Resource saving based dwell time allocation and detection threshold optimization in an asynchronous distributed phased array radar network

The resource optimization plays an important role in an asynchronous Phased Array Radar Network(PARN)tracking multiple targets with Measurement Origin Uncertainty(MOU),i.e.,considering the false alarms and missed detections.A Joint Dwell Time Allocation and Detection Threshold Optimization(JDTADTO)strategy is proposed for resource saving in this case.The Predicted Conditional Cramér-Rao Lower Bound(PC-CRLB)with Bayesian Detector and Amplitude Information(BD-AI)is derived and adopted as the tracking performance metric.The optimization model is formulated as minimizing the difference between the PC-CRLBs and the tracking precision thresholds under the constraints of upper and lower bounds of dwell time and false alarm ratio.It is shown that the objective function is nonconvex due to the Information Reduction Factor(IRF)brought by the MOU.A cyclic minimizer-based solution is proposed for problem solving.Simulation results confirm the flexibility and robustness of the JDTADTO strategy in both sufficient and insufficient resource scenarios.The results also reveal the effectiveness of the proposed strategy compared with the strategies adopting the BD without detection threshold optimization and amplitude information.

雷达通信系统的网络架构与拓扑设计

雷达通信系统作为一种关键的远程感知和信息传递技术,在现代军事和民用领域广泛应用。文章旨在研究雷达通信系统的网络架构与拓扑设计,以提高系统的性能、安全性和故障容忍能力。通过对基础架构、系统层次结构、安全性、网络拓扑和性能优化等方面的详细探讨,旨在为雷达通信系统的设计和实施提供指导。

UAV penetration mission path planning based on improved holonic particle swarm optimization

To meet the requirements of safety, concealment, and timeliness of trajectory planning during the unmanned aerial vehicle(UAV) penetration process, a three-dimensional path planning algorithm is proposed based on improved holonic particle swarm optimization(IHPSO). Firstly, the requirements of terrain threat, radar detection, and penetration time in the process of UAV penetration are quantified. Regarding radar threats, a radar echo analysis method based on radar cross section(RCS)and the spatial situation is proposed to quantify the concealment of UAV penetration. Then the structure-particle swarm optimization(PSO) algorithm is improved from three aspects.First, the conversion ability of the search strategy is enhanced by using the system clustering method and the information entropy grouping strategy instead of random grouping and constructing the state switching conditions based on the fitness function.Second, the unclear setting of iteration numbers is addressed by using particle spacing to create the termination condition of the algorithm. Finally, the trajectory is optimized to meet the intended requirements by building a predictive control model and using the IHPSO for simulation verification. Numerical examples show the superiority of the proposed method over the existing PSO methods.

认知雷达转向控制系统优化设计研究

神经网络是一种模仿动物神经网络行为特征,进行分布式并行信息处理的算法数学模型。为了能更好地实现对认知雷达转向系统的精确控制,文中将神经网络的概念引入到认知雷达转向控制系统中,提出一种基于神经网络的认知雷达转向控制系统。首先介绍了神经网络的模型算法,然后基于此,对雷达转向系统进行跟踪仿真,进而得到预计的转向控制系统的输入量。最后,结合模型预测控制算法,对转向系统的角度和速度进行精确控制。为了验证理论分析结果,基于MATLAB搭建了认知雷达转向控制系统的仿真模型并进行仿真验证,结果表明,所提出的方法能够对转向系统的角度和速度进行精确控制,转矩脉动减小了56%,超调量减小了61%。

责任区雷达组网系统抗干扰优化部署算法

在对噪声压制干扰施放过程进行定量分析的基础上,讨论了雷达及其组网系统的抗压制噪声干扰效能动态定量评估模型,定义了雷达及其组网系统的残存可探测区面积、探测能力下降指数、责任区覆盖指数,建立了考虑责任区的组网系统抗干扰优化布站决策模型与算法。三站组网系统的仿真试验证明了其有效性,可应用现役系统的实际部署优化调整。

雷达组网系统抗压制干扰部署优化算法研究

针对雷达组网系统抗压制干扰部署优化问题,讨论了雷达及其组网系统的残剩可探测区动态定量评估模型,定义了雷达及其组网系统的探测能力下降指数、雷达装备利用率及其抗干扰效能指数,给出了一套完整的组网系统抗压制干扰综合效能动态定量评估模型、优化布站决策模型及相应的实用算法。3部雷达组网的仿真试验证明了其有效性。

雷达组网系统目标定位精度评估模型

以地基分布式有源雷达组网系统为讨论对象,在具体分析了4种系统定位误差的相互关系的基础上,给出了一种基于ECEF转换法的系统目标综合定位精度评估模型,并利用典型的雷达参数,对2D与3D混合的雷达组网系统的实际目标综合定位精度进行了仿真和对比分析,得到了一些对雷达组网系统的实际部署优化处理有参考价值的结论。

车载多雷达组网实时航迹误差评估算法研究

结合车载多雷达组网系统的特点,为提高后续信息融合的精度和速度,在地心直角坐标(ECEF)的坐标变换体系下,通过多站航迹数据之间的比较处理,提出了基于最优递推最小二乘估计的车载多雷达组网实时航迹误差评估算法。仿真结果表明,该方法具有较高的准确性和鲁棒性。

雷达组网控制系统框架模型

解释了雷达组网控制系统的涵义,分析了雷达组网控制系统研究的必要性和可行性,提出了适应现役雷达兵指挥自动化系统软硬件环境的雷达组网控制系统框架模型,为提高我军预警探测系统的快速反应、统一调控和整体"四抗"能力提供了一条便捷的途径。

雷达组网系统责任区抗干扰优化部署

针对有源压制干扰对雷达组网系统的威胁,深入分析了雷达组网系统的抗干扰优化部署问题,建立了雷达组网系统责任区抗干扰优化布站决策模型,并给出了具体的算法和求解分析。仿真结果验证了该方法的有效性,可为雷达组网系统的实际优化部署提供参考。

网络雷达对抗系统涌现性建模

网络雷达对抗系统是电子战系统和雷达系统一体化网络化发展的新型综合电子战系统,涌现性是其复杂特性的典型表现。从系统科学的角度研究网络雷达对抗系统的涌现性,阐释了网络雷达对抗系统涌现性的内涵和构成,其涌现性具体表现为系统探测侦察涌现性、系统目标识别涌现性和系统干扰涌现性。从组成效应、结构效应、交互效应、环境效应4个方面剖析了网络雷达对扰系统涌现性的产生机理,构建了网络雷达对抗系统探测侦察涌现性、系统目标识别涌现性和系统干扰涌现性的概念模型和数学模型。仿真示例表明当网络雷达对抗系统存在信息融合和共享时,系统出现探测侦察涌现性,与涌现性产生机理分析相符。