修正极坐标系下雷达与ESM航迹对准关联

研究了存在系统误差时修正极坐标系(MPC)下的雷达与电子支援措施(ESM)航迹关联问题。系统误差导致MPC下雷达和ESM的角度估计产生偏移,而对角度变化率、距变率与距离的比值(ITG)的估计影响不大;结合非中心卡方分布的知识,分析了雷达与ESM的测量误差对非中心参数和正确关联概率的影响;提出了一种基于积分重合度的雷达与ESM航迹对准关联算法。首先将雷达与ESM的目标映射到角度-角度变化率空间,分别得到了雷达与ESM的目标曲线,然后对两目标曲线求积分重合度,估计出雷达与ESM测角系统误差的偏移量,对偏移量补偿后进行雷达与ESM的航迹关联。仿真结果表明,本文所提算法能有效地提高存在系统误差时雷达与ESM正确航迹关联概率。     

关于雷达副瓣跟踪

一、前言雷达跟踪系统在正常工作条件下,其电轴自动对准目标,并测出目标的位置座标(R、E、A、R)。在某种条件下,往往会发生错误的跟踪,使目标位于某一副瓣指向位置。这时会给出错误的角信息,用作引导雷达时会给出错误的引导数据,从而使协同工作的一系列设备都不能正常工作。另外,雷达的正常收敛跟踪条件和最大跟踪范围,也是跟踪系统的重要指标,它会影响到设备的角捕获范围及跟踪成功概率。本文分析研究了雷达的跟踪收敛条件和最大跟踪范围,并研究了副瓣跟踪的条件和特点,预见了可能出现的副瓣跟踪点的角位置。对几种跟踪系统进行了分析计算,其结果与相应的实验结果是一致的。同时还提出了一种利     

导弹末制导雷达搜索图研究

以远程反舰导弹为研究对象,运用概率统计理论、优化设计方法,研究远程反舰导弹末制导雷达目标搜捕问题。构建典型目标的数学模型,提出末制导雷达搜索图设计方案,得出了目标命中概率和截获概率的计算方法。     

美式电子篱笆对空间目标检测概率的计算

为了检验美式电子篱笆对空间目标的探测能力,本文以电子篱笆系统对空间目标的检测概率作为研究对象,结合空间目标运行仿真和雷达探测仿真两个领域,通过空间目标轨道运动、雷达接收信噪比和雷达检测概率计算等数学模型计算此系统对穿越的空间目标的检测概率,从检测概率的角度给出了电子篱笆的性能评估。然而检测概率并不等同于捕获概率,所以进一步的研究工作可在对有用信号提取成功的概率方面开展。     

粒子滤波联合目标跟踪分类算法

针对现有联合目标跟踪分类(JTC)算法计算量大实时性差的缺陷,本文在JTC求解中引入粒子滤波,替代数值积分,大大缩短了计算时间;利用低分辨率常规雷达(LRR)提供的目标运动学信息和电子支援措施(ESM)提供的目标电磁设备信息,同时提高了目标的识别概率和跟踪性能。仿真验证了粒子滤波联合目标跟踪分类算法的实时性和有效性。     

2D雷达与3D雷达航迹关联问题研究

对2D雷达与3D雷达的航迹关联问题进行了研究,提出了两种通过升维来达到航迹关联的算法,解决了2D雷达与3D雷达同地、异地配置的关联问题。通过典型环境下的仿真,体现了算法较好的关联性能和较强的鲁棒性。     

地面测站引导卫星逆向交会的交会角研究

建立了用地面测控站引导交会时,不同交会角条件下测量误差引起的交会脱靶量计算模型和交会概率计算模型。重点讨论了单站雷达测量、双站雷达测量时,以最大交会概率为优化目标时的最优交会角问题,并确定了雷达测站位置与最优交会角的关系。仿真结果表明,最优交会角的恰当选择能显著提高逆轨卫星交会概率。     

数据链航迹延迟与 ESM点迹间断融合跟踪

数据链与电子支援措施(Electronic Supporting Measures,ESM)融合跟踪是 1种典型的异类多传感器信息融合。针对数据链航迹存在延迟和 ESM点迹间断情况下的数据链航迹与 ESM点迹融合跟踪,提出了复杂情况下的数据链与 ESM融合跟踪方法,并对融合跟踪的精度进行分析研究。首先,对数据进行时间对准,保证数据链和 ESM数据率一致;然后,通过构造基于不敏变换(Unscented Transformation,UT)的非线性量测转换和误差估计方法,将数据链数据对准到 ESM数据;最后,通过引入随机补偿机制对数据链延迟进行补偿,并与 ESM数据进行关联融合。实验结果表明,有延迟补偿时的融合跟踪精度取决于延迟补偿均值与实际延迟的贴近程度。结果可为信息综合处理装备的发展和设计提供借鉴。     

飞机在有源干扰保护下的探测概率研究

研究了飞机与雷达探测系统遭遇时，雷达对飞机的探测概率随距离的变化问题，采用X^2类目标波动模型，针对飞机在有源干扰保护的情况对探测概率随距离的变化进行了研究，对不同RCS对探测概率的影响问题进行了分析，研究结果可为飞机的雷达探测敏感性评估，飞机生存力的定量化分析与权衡，以及雷达探测系统的效能评估提供量化依据。     

飞行仿真中雷达地形数据库构建关键技术

雷达图像仿真是飞行仿真的重要组成部分,而雷达地形数据库为雷达图像仿真提供基本的数据支持。为构建满足仿真精度与实时性要求的雷达地形数据库,对相关关键技术进行了研究。在分析雷达图像仿真原理的基础上,研究了雷达地形数据库在分布式飞行仿真系统中的应用方式和组成形式。根据所用数据源的不同,对雷达地形建模技术进行了分类,并分析了不同建模方法的优缺点。比较了网格式与多边形式2种数据存储与调度技术的特点和适用性,指出多分辨率表示技术雷达地形建模中的重要性,给出了一种材质数据多分辨率映射的基于材质最大出现概率的子取样方法。对机载雷达实波束地形测绘成像进行了仿真。     

Space-time registration of radar and ESM using unscented Kalman filter

Space and time alignments are the prerequisites for the successful fusion of multiple sensors. A space-time registration model is proposed to estimate the system biases and to perform time synchronization together for mobile radar and electronic support measure (ESM) systems. A space-time registration model for radar and ESM is first developed, and an unscented Kalman filter (UKF) is proposed to estimate the space-time biases and target states simultaneously. The posterior Cramer-Rao bounds (PCRBs) are derived for the proposed UKF registration algorithm for ESM detection probability less than or equal to one. Theoretical analyses are performed to evaluate the accuracy and robustness of the proposed method. Computer simulations show that the UKF registration algorithm is indeed effective and robust for different radar and ESM tracking scenarios.     

Analysis of queuing behavior of automatic ESM systems

Radar electronic support measures (ESM) systems detect active emitters in a given area and determine their identities and bearings. The high arrival rate of radar pulses in dense emitter environments demands fast automatic processing of arriving pulses so that the ESM system can fulfill its functions properly in real time. Yet, the performance analysis of automatic ESM system in real life Is difficult since both pulse arrivals and widths can be specified only probabilistically. The success of queuing theory in many applications such as computer communication networks and flow-control has encouraged designers to utilize queuing theory in qualifying and judging the performance of automatic ESM systems in dense emitter environments. The queuing behavior of these systems is analytically evaluated under different service disciplines and elaborate computer simulations validate the results. The analysis involves statistical modeling of arrival and departure processes as well as distribution of service times. It permits estimating the blocking probability due to high arrival rates of intercepted radar pulses or due to limited speed of the deinterleaver processor. Queuing analysis is shown to be quite useful to quantitatively assess tradeoffs in ESM systems design     

CESM-a new category of radar ECCM

Radar ECCM techniques are well known. Heretofore the listed ECCM effects have generally been to counteract the effects of ECM. This approach is one of attempting to cure an illness, rather than preventing it. Modem ECM systems usually include an ESM receiver to detect the radar signal, identify it by its emission characteristics, assess its importance, select the proper ECM, and signal to initiate ECM. If the ESM receiver detection of the radar signal can be delayed/denied, or the identification be confused, either the wrong ECM may be applied, or delayed. The radar may thus not be confronted with timely, proper ECM. Radar operation may therefore be possible. This paper introduces and defines CESM, a new category of radar ECCM. There are two principles of CESM-those which delay/deny ESM receiver detection, and those which confuse/impede signal identification. Illustrative examples of CESM techniques/operating techniques are given. It is shown that many CESM techniques may have multiple roles by impeding detection, impeding identification, and also diluting effects of ECM     

Contiguous pulse binary integration analysis

The probability of detecting m or more pulses contiguously-that is, in a row-from a pulse train of n pulses is determined when the detection of each pulse is an independent Bernoulli trial with probability p. While a general closed-form expression for this probability is not known, we present an analytical procedure that gives the exact expression for the probability of interest for any particular case. We also present simple asymptotic expressions for these probabilities and develop bounds on the probability that the number of pulses that must be observed before m contiguous detections is greater than or less than some particular number. We consider the implications for binary integration in radar and electronic warfare problems     

Influence of stealth aircraft dynamic RCS peak on radar detection probability

For modern stealth aircraft, it is important to analyze the influence of Radar Cross Section (RCS) peak exposure on penetration for guiding stealth design and penetration trajectory planning, which needs to reflect the RCS statistical uncertainty and the RCS difference with the change of incident angle. Based on the RCS characteristics of typical stealth aircraft, this paper established a simplified RCS dynamic fluctuation statistical model with the parameters log mean and log standard deviation. According to the detection probability algorithm in radar signal processing field, this paper built the algorithm of radar detection probability based on the RCS dynamic fluctuation statistical model. The analysis of examples concluded that the key to successful penetration is to shorten the RCS peak exposure time, which can be reduced by decreasing the RCS peak width or increasing velocity. Based on the conclusion, this paper proposed the method of turning maneuvering to reduce RCS peak exposure time dramatically.     

模糊C均值算法在机载PD雷达杂波跟踪中的应用

介绍一种适用于机载PD雷达的杂波跟踪技术，结合机载PD雷达杂波分布特征和模糊C均值算法的特点，将模糊C均值算法用于杂波跟踪，给出了相应的算法流程，并提出了一种确定初始模糊隶属度的方法，经仿真数据验证，取得了满意的结果。     

Radar technology in the Czech Republic

A contemporary status of radar technology in the Czech Republic is reviewed in this paper. We may find activity in many different directions in this field now. Those are: new primary radar development both for military and civil application, primary and secondary radar upgrades, new passive radar development for civil application, ELINT and ESM equipment, intruding alarm radar sensors for commercial application/high mass production, radar warning and seeking receivers and military targets RCS minimization.     

Optimal Target t Designation Techniques

Studies of signal processing techniques are presented for achieving optimal autonomous acquisition of stationary targets located in a moderately intense nonhomogeneous radar ground clutter background. The process of target acquisition comprises three basic functions: 1) target detection, 2) target selection or designation, and 3) reacquiring the target for tracking. It is the second of these functions, i.e., autonomous designation of a target, that is the subject of this discussion. Theoretical analyses and predictions of the probability of correct target designation for two acquisition search methods are presented and compared with results achieved using real radar imagery.