Analysis of interference effects on monopulse radars

The complete numerical analysis of angle-tracking performance of a coherent amplitude-comparison monopulse radar system in a two-target situation is described. This system, equipped with automatic gain control (AGC) and phase-locked loop (PLL), was originally invented for improving the target-tracking performance in multiple-target situation. The general behavior depends on Doppler separation of the targets relative to the bandwidths of AGC and PLL. The performance of this system has previously been roughly analyzed by using linear approximation for four extreme cases: wideband and narrowband AGC in combination with wideband and narrowband PLL. In this study, the author performs nonlinear analysis of the same system for all bandwidths of AGC and PLL, because Doppler separation varies over a wide range in actual tracker, and therefore it is indispensable to know the total system behavior. A special numerical technique called the Galerkin method is used. As a result of this analysis, the extensive target-tracking performance for all intermediate bandwidths of AGC and PLL has been clarified. The result is useful for actual target tracker design     

Radar signals analysis and modellization in the presence of JEMapplication to civilian ATC radars

This paper describes the application of a simulation software and the comparison of its results with actual data recorded from operating ATC radars in S and L bands. Results obtained in an application on actual signals (relative to commercial aircraft echoes) collected from observations on the echo received at an ATC radar system are presented. These signals were recorded along many field experiments carried out by the authors on a recording system specifically developed for this purpose. Due to the constitutive and operative characteristics of the systems, the results are affected by a low spectral resolution and a strong aliasing which give rise to problems in a correct analysis. The observed results have been related to the physical phenomena generated by the structure of the complex target we suppose to be made of a rigid body and rotating parts which originate such a modulation on the echo signal that it is known in related literature as Jet Engine Modulation (JEM). These phenomena may be regarded as a signature of the particular couple “engine-aircraft body” and in some flight conditions may offer significant help to a correct characterization of the aircrafts     

Monte Carlo filtering for multi target tracking and data association

We present Monte Carlo methods for multi-target tracking and data association. The methods are applicable to general nonlinear and non-Gaussian models for the target dynamics and measurement likelihood. We provide efficient solutions to two very pertinent problems: the data association problem that arises due to unlabelled measurements in the presence of clutter, and the curse of dimensionality that arises due to the increased size of the state-space associated with multiple targets. We develop a number of algorithms to achieve this. The first, which we refer to as the Monte Carlo joint probabilistic data association filter (MC-JPDAF), is a generalisation of the strategy proposed by Schulz et al. (2001) and Schulz et al. (2003). As is the case for the JPDAF, the distributions of interest are the marginal filtering distributions for each of the targets, but these are approximated with particles rather than Gaussians. We also develop two extensions to the standard particle filtering methodology for tracking multiple targets. The first, which we refer to as the sequential sampling particle filter (SSPF), samples the individual targets sequentially by utilising a factorisation of the importance weights. The second, which we refer to as the independent partition particle filter (IPPF), assumes the associations to be independent over the individual targets, leading to an efficient component-wise sampling strategy to construct new particles. We evaluate and compare the proposed methods on a challenging synthetic tracking problem.     

一种地理围栏内无人机航迹跟踪方法

针对UTM体制中无人机在地理围栏内的飞行监视问题,提出一种约束状态相关模态转换混合估计算法(CSDTHE)。采用随机线性混杂系统模型对无人机运动状态进行建模,利用CV、CT和CA三种模态描述无人机的飞行状态,以构建地理围栏内无人机运行的通用模态转换模型框架。利用飞行模态改变点(FMCP)定义相关模态转换参数,设计模态转换条件,生成模态转换概率矩阵,从而建立与状态相关的模态转换模型。运用约束卡尔曼滤波(CKF)方法对直线阶段和转弯阶段的无人机运动速度分别施加等式约束,并通过仿真实验验证了CSDTHE算法对无人机跟踪的有效性。     

History of monopulse radar in the USSR

Monopulse radars have played an important role in air and missile defense systems since the development of the monopulse technique in the late 1940s. This paper outlines the application of monopulse radars in Russian defense systems, starting with the Moscow ABM system and continuing in instrumentation and air defense radars now widely deployed in Russia and elsewhere     

Accuracy of angle estimation with monopulse processing using twobeams

Expressions are provided for the accuracy of monopulse angle estimation using two beams. It is shown that, if the signal angle is halfway between the angles of the beams, the Cramer-Rao lower bound (CRLB) for monopulse processing is almost as small as the CRLB obtained if the entire array of sensors is used. The monopulse CRLB is considerably poorer if the angle of the signal is equal to that of one of the two beams. The expressions in this correspondence are for a uniformly weighted linear array of M equally spaced sensors, for which N⩾M beams are formed     

Growler detection in sea clutter with coherent radars

Ship navigation through ice-infested waters is a problem of deep concern to the Canadian shipping and exploration industry. Conventional marine radars have difficulty detecting small pieces of glacial ice called growlers which are very hazardous to vessels if struck. In an effort to improve detection performance, X-band radar measurements were collected and analyzed to determine the characteristics of clutter and growler returns that could lead to their separability. These analyses suggested that coherent medium dwell-time processing (i.e., integration times of a fraction of a second) could provide improvement In growler detectability over conventional methods; and long dwell-time processing (i.e., integration times on the order of seconds) could provide even further improvement. We report on the performance of two new coherent, medium dwell-time detectors. A third detector which is representative of conventional marine radar serves as a basis for comparison Although significant improvement in growler detectability is achieved, the two coherent detectors still fall short of operational requirements. This leads to the development of a long dwell-time detector which provides considerably better performance. Empirical results indicate that this new detector could well satisfy stringent operational requirements     

多UAV路径跟踪协同编队机动指令决策算法

针对多UAV在空间路径跟踪下的协同编队控制问题,设计了一种机动指令决策算法。对单架UAV的路径跟踪引入视距导航算法并进行改进,得到航迹方位角和航迹倾斜角的参考指令;对于多UAV协同编队控制,应用图论知识得到空速大小的参考指令;依据参考指令,通过函数解析与数值编程相结合的方法计算出机动指令。仿真结果表明,该算法能够有效控制多UAV从任意初始状态进行预期的路径跟踪协同编队飞行。     

The present and the future of random signal radars

The 30+ year development of random signal radar (RSR) is described in this paper. Conventional methods of implementing RSRs are summarized: correlation, spectrum analysis, and anti-correlation. Some typical RSR systems are introduced; for example: noise frequency modulation continuous wave radar; and random binary phase-coded continuous wave radar, and their merits and demerits are also pointed out. Finally, the development trends of RSR is analyzed     

Probability distribution of complex monopulse ratio with arbitrary correlation between channels

The joint distribution of the real and imaginary parts of the monopulse ratio (MR) is obtained for a monopulse radar with arbitrarily correlated Gaussian noise and non-zero means in the sum and difference channels. The general result is used to consider thresholding and to develop the marginal density for the real part of the MR for the special case of real correlation between the channels.     

Design and applications of airborne radars in the VHF/UHF band

The simultaneous need for ground penetration and high resolution dictates the use of frequencies less than 500 MHz for imaging ground penetrating radar (GPR) designs. It is possible to build such systems with good performance and yet not interfere with ground installations operating in the same bands. The total number of airborne GPR systems needed to saturate the market is small, (possibly less than ten), and so the buildup of noise in this spectral region occupied by these radars will be negligible. This is fortunate, since there is a clear need for such radars in such areas as humanitarian demining and unexploded ordnance (UXO) mapping. Some formal set of guidelines is needed beyond that given in Part 15 of the FCC regulations, which both recognizes the need for airborne UWB radar operations, and still protects licensed users in the band     

Analysis of array errors and a short-time processor in airbornephased array radars

Array errors are inherent in a realistic phased array radar system. The influence of array errors on the clutter degrees of freedom and the clutter subspace in an airborne phased array radar is analyzed. Based on the presented theoretic results, a method of short-time processing followed by coherent integration is proposed for clutter suppression in airborne phased array radars. It can approximate the two-dimensional optimal processor well even in the presence of array errors, clutter fluctuations and aircraft drift, with a considerable saving in computations     

Estimating Bias in Loran Lines of Position

A method of determining bias in calculated Loran-C coordinates is presented. The bias in calculated coordinates results from the complexity of the propagation problem. To remove the bias, a bias function is determined by regression analysis using observed time differences. Two examples of application to field data are given.     

Update with out-of-sequence measurements in tracking: exact solution

In target tracking systems measurements are typically collected in "scans" or "frames" and then they are transmitted to a processing center. In multisensor tracking systems that operate in a centralized manner, there are usually different time delays in transmitting the scans or frames from the various sensors to the center. This can lead to situations where measurements from the same target arrive out of sequence. Such "out-of-sequence" measurement (OOSM) arrivals can occur even in the absence of scan/frame communication time delays. The resulting "negative-time measurement update" problem, which is quite common in real multisensor systems, was solved previously only approximately in the literature. The exact state update equation for such a problem is presented. The optimal and two suboptimal algorithms are compared on a number of realistic examples, including a GMTI (ground moving target indicator) radar case.     

IMMPDAF for radar management and tracking benchmark with ECM

A framework is presented for controlling a phased array radar for tracking highly maneuvering targets in the presence of false alarms (FAs) and electronic countermeasures (ECMs). Algorithms are presented for track formation and maintenance; adaptive selection of target revisit interval, waveform and detection threshold; and neutralizing techniques for ECM, namely, against a standoff jammer (SOJ) and range gate pull off (RGPO). The interacting multiple model (IMM) estimator in combination with the probabilistic data association (PDA) technique is used for tracking. A constant false alarm rate (CFAR) approach is used to adaptively select the detection threshold and radar waveform, countering the effect of jammer-induced false measurements. The revisit interval is selected adaptively, based on the predicted angular innovation standard deviations. This tracker/radar-resource-allocator provides a complete solution to the benchmark problem for target tracking and radar control. Simulation results show an average sampling interval of about 2.5 s while maintaining a track loss less than the maximum allowed 4%     

多序列激光阴影成像技术研究及应用

为获取超高速碰撞过程中弹丸的飞行姿态及碰撞所产生的碎片云特性,开展了多序列激光阴影成像技术研究。利用多光源空间分离、偏振分光、光束角放大和补偿滤光等技术解决了单色光带来的衍射和干涉噪声以及碰撞瞬间强烈的自发光干扰问题,并先后在碰撞靶上建立了2序列、4序列和8序列激光阴影成像系统。该系统可以获得最小间隔1μs、曝光时间10ns、像素1000万的多个不同时刻的超高速瞬态变化过程图像,并在超高速碰撞靶试验中得到应用,获得了2～7km/s 撞击速度时碎片云的多序列阴影图像,该序列图像清晰地描述了碎片云的轮廓发展变化过程。该技术以低成本的方式实现了超高速摄影机的功能,满足目前碰撞试验粒子的飞行姿态及碎片云显示需要,并可以应用于其它超高速瞬态过程测量及流场结构显示。     

Finite-time composite guidance law with input constraint and dynamics compensation

Guidance laws are proposed for a near space interceptor with on-off type thrust as output.The target-interceptor engagement kinematics is integrated with the first-order dynamics of thruster to design guidance laws.The bang-bang type guidance law with linear sliding mode is proposed to deal with thruster dynamics,and the sufficient condition for finite time convergence is rigorously proved based on the finite-time convergence theory.According to the sufficient condition,a sliding mode guidance law with hysteresis-band switching is introduced to reduce the switching frequency of thruster.Then two guidance laws are combined into a composite guidance law to improve the guidance performance.Simulation results show that the line-of-sight angular rate can converge to a neighborhood of the equilibrium point before the final time of the guidance process,and the composite guidance law has better performance than typical guidance laws.     

SPH方法对气液两相流自由界面运动的追踪模拟

气液两相流动是自然界中常见的流动现象,对其进行数值模拟时要求必须能够准确跟踪界面运动变形。本文利用光滑粒子流体动力学方法,结合微可压缩模型(SCM),引入界面控制方法XSPH速度修正以及Van Derwaals状态方程修正,对典型的气液两相流动如二维溃坝、气泡上浮等问题进行了数值模拟,分析了空气和水相互作用机理以及界面运动规律,并同实验结果和其他数值计算结果进行了比较。结果表明,该方法在模拟多相介质界面运动问题准确有效,可用于处理更为复杂的多相流动工程问题。     

Bias and Standard Deviation of the Estimator for the Underlying Probability in a Sequence of Bernoulli Trials with Preselected Number of Successes

In a sequence of Bernoulli trials which stops after a preselected number M of successes, the maximum likelihood estimator of the underlying probability is given by the ratio of M and the required number of observations. Closed-form expressions for the bias and standard deviation of this estimator are developed.     

Disturbance estimation and compensation in linear systems

Discrete-time estimation and compensation are discussed as a solution to the problems encountered when disturbances are present and degrade the performance of continuous automatic control systems. The method described, under a mild set of conditions, allows the designer to locate the closed-loop system poles substantially anywhere and provide disturbance rejection as large as desired by increasing the dimensions of the disturbance estimator. This estimation/compensation scheme results in a gain characteristic, below some frequency (ω_c ), with a slope of q×20 dB/decade. The value of q and ω_c can be chosen by the designer, within the physical limitations of the problem, so that the system error resulting from either deterministic or stochastic disturbances is sufficiently reduced. The method has been investigated for use with known linear, time-invariant systems