A Modified Discrete Karhunen-Loeve Random Field Estimator

Based upon the modified Karhunen-Loeve model of the gravity disturbance vector proposed by us recently, a corresponding Karhunen-Loeve random field estimator is developed in this paper for a two-dimensional grid of gravity data in a local finite region.The new eigenvectors obey the "required" orthogonality relations on the chosen grid provided the KL expansion is now separated into odd and even integers. The closed-form solution of the estimator isthen obtained under the "diagonal" assumption for the gain coefficients. It is shown that this assumption, without which nosolution is possible, enables the estimator to reproduce the data atgrid points when the noise in the data is absent and the number of terms in the Karhunen-Loeve expansion are equal to the number of grid points.     

Error Covariance Analysis of a Karhunen-Loeve Collocation Estimator

An error covariance analysis of a two-dimensional gravity compensation technique (KLC) employing a Karhunen-Loeve gravity disturbance model and the linear least-square collocation algorithm for its estimation is presented, without actually using any data. Its performance is compared with another gravity compensation technique (KLE), whose error covariance analysis was previously presented by Gupta. From the mismodeling analysis, KLC appears to be superior to KLE.     

A Modified Karhunen-Loeve Model of Gravity Disturbance Vector

A modified anisotropic Karhunen-Loeve (KL) model for the gravity disturbing potential is proposed. This model, unlike the previous KL model of Bose, does not vanish on the boundaries of a local region. Laplace's equation for the gravity disturbing potential and flatearth Vening-Meinesz relationships of the gravity disturbance vectorcomponents (?,?,?g) when the model is isotropic, are exploited to determine the unknown parameters of the model. The resulting model, in addition to having random boundary values, has three more parameters than those found in Bose's KL model. This should provide extra flexibility in fitting the model to the noisy data available in a local finite region.     

Effect of Noncoherent FSK Versus PSK on Waveform Error in PCM Telemetry

In a recent paper [1] the authors presented an optimization strategy for the transmission of analog data over a PCM telemetry link. Constraints imposed included real-time operation and both average and peak power limitations on the transmitter. The selected strategy used Karhunen-Loeve (KL) sampling, unequal bit assignments, optimum uniform quantizing, the natural code, and PSK reception. In this paper, the performance of the above system will be compared to the same system using noncoherent FSK reception instead of PSK. The performance criterion used for the comparison is the mean integral squared error criterion.     

Frequency-Agility Processing to Reduce Radar Glint Pointing Error

A technique to reduce radar pointing errors due to glint using frequency agility and amplitude weighting is presented. The reduction in rms tracking error is developed into an equation dependent upon the original glint tracking error, ?g, and the number of returns weighted, N. The rms tracking error is thereby reduced approximately by a factor of N. Finally, the equation formulated allows one to evaluate the reduction in glint error versus the number of frequencies chosen for frequency agility.     

浸入边界法模拟小圆柱对主圆柱涡脱落的抑制

使用浸入边界法研究了小圆柱对主圆柱涡脱落的抑制.方法中使用非贴体笛儿尔网格,易于处理包含复杂边界的流动问题.采用离散附加力直接加入边界条件方法对虚单元进行重构,使边界条件在浸入边界上精确满足.使用隐式分步法解二维非定常不可压Navier-Stokes方程,通过速度和压力解耦提高计算效率.数值模拟单圆柱绕流及不同位置小圆柱和主圆柱的流动干扰,通过分析流场涡结构和升、阻力系数,得到小圆柱对主圆柱涡脱落的延迟和抑制作用.计算结果与已有实验结论和数值结果对比,计算误差不超过5%,说明浸入边界法可以简单有效地处理圆柱涡脱落抑制这类流动干扰问题.     

基于伴随方程的网格自适应及误差修正

基于流场方程的离散伴随优化理论和三维非结构网格,建立了网格自适应技术和目标函数误差修正方法。详细研究了用流动伴随变量进行目标函数的误差估计和修正技术,构造了适用于格心格式有限体积法的流场变量插值技术和网格单元剖分判据,初步实现了网格物面投影和空间单元优化,发展了适用于有限体积法的整套网格自适应方法。对NACA0012翼型和ONERA-M6机翼绕流进行了自适应数值模拟,并对升、阻力等目标函数进行了误差修正。数值结果表明,本文自适应方法能正确地捕捉到影响目标函数计算精度的敏感区域,网格自适应和误差修正两项技术显著提高了升、阻力等目标函数的计算精度。     

DO 28飞行试验数据一致性检验

 本文研究DO28试验机飞行试验数据一致性检验及其误差校正。建立了由非线性运动学方程及内容广泛的校正环节构成的一致性检验模型,解决了大地风场重构、测量信号时间延迟估计、ψ转换及测量控制信号的校正。为DO28参数估计提供了可靠、准确的飞行试验数据。     

Applications of Mininum Variance Reduced-State Estimators

This paper presents an algorithm for a class of suitably constrained reduced-order filters which minimize the variance of the estimated variables. The algorithm generates both the filter gain history and the true estimation error covariance. The algorithm provides a quantitative criterion which can be used to measure the performance of any reduced-order estimator. Both continuous and discrete estimators are considered. Several examples are treated including an application of the technique to a hybrid navigation system of high order.     

High-Resolution, Radar Coherent Linear FM Microwave Source

The microwave CLFM study was directed to generating 14 ?s S-band pulses of 1000 MHz bandwidth and an rms phase error of a few degrees. Over 972 MHz bandwidth, the sampled phase error relative to the reference was 7 degrees rms and 17 degrees peak, with a maximum Fourier component of 4 degrees. The FM pulse train is generated by a gated BWO driven by a stable linearizing waveform. Phase coherency during each pulse is obtained by a sampling technique, where the phase is corrected at intervals of 1/6 ?s, the RF phase having changed an integral number of cycles in each interval. Multiplication of the BWO signal by the sampling pulse train results in band-limited phase error pulses which are applied in a feedback loop. Pulse-to-pulse coherency is obtained by phase lock of the BWO starting frequency to the crystal reference. Feedback leveling holds the output constant to 0.3 dB. The basic MITRE technique was originally demonstrated at 10 MHz in 1964. Range results measured with the X-band model radar using the CLFM generator are given and confirm the phase errors of the CLFM.     

一种可行的有限元网格优化法

在用有限元素法进行分析时的一个主要考虑是,对于某个特定问题,如何才能以尽可能少的计算工作量获得尽可能高的计算精确度,这就是在过去十年中迅速发展起来的有限元最优离散化问题,并已提出了不少优化准则和算法。本文的目的在于提出一项改善有限元离散化的有效方法,以避免现有方法中的一些困难和不足,即:既可以避免纯数学规划法中过于庞大的计算时间,又可以避免批处理方式的麻烦;它编制程序简便,也无需计算等高线的专用软件以及与计算机接口的图象显示设备。它从误差分析得到使离散化近乎最优的可行方向,再通过一维搜索得到近似于最优的离散化。数值例题表明,采用本文方法进行优化,得益是十分显著的。     

The eigencanceler: adaptive radar by eigenanalysis methods

It is shown that the dominant eigenvectors of the space-time correlation matrix contain all the information about the space-time distribution of the interferences. The eigencanceler is a new approach to adaptive radar beamforming in which the weight vector is constrained to be in the noise subspace, the subspace orthogonal to the dominant eigenvectors. Two types of eigencancelers are suggested: the minimum power eigencanceler (MPE) and the minimum norm eigencanceler (MNE). It is shown that while the MPE is implemented as a linear combination of noise eigenvectors, the MNE can be formed using dominant eigenvectors only. Particularly for short data records, the MNE provides superior clutter and jammers cancellation, as well as lower variations in the pattern and lower distortion of the mainbeam, and can be carried out at a smaller computational cost than other known beamformers, such as the minimum variance beamformer     

Canceler Performance Degradation Due to Estimation Noise

The multiple sidelobe canceler (MSLC) configured using the gradient descent algorithm converges to an approximation to the optimum weight vector. Since the weight vector estimate is obtained from a finite data set, there is a random error that increases the steady state residue power. An exact analysis of the steady state residue power for a digital implementation is performed. The analysis predicts that as the algorithm's gain (step size) is increased, the steady state residue power tends towards infinity. The gain that causes infinite power is smaller than the gain that causes instability for the average weight vector analysis. It is shown that the steady state residue power is equal to the minimum residue power multiplied by a factor that depends upon ratios of the eigenvalues. The steady state residue power is evaluated for some special cases. It is shown that the value of the factor is greatest when the interference is due to a single jammer.     

圆锥脉冲等离子体诱导流场特性分析

对等离子体诱导流场特性进行研究,有利于解决双稳态非对称分离涡带来的连续比例控制困难的问题。在封闭光学玻璃箱体内,应用介质阻挡放电等离子体对20°顶角圆锥附近静止大气进行了定常和脉冲循环控制,对等离子体诱导的圆锥截面绕流速度场进行了二维PIV测量,对定常控制和脉冲循环控制下最大绕流速度及最大轴向涡量进行了比较分析。实验结果表明：相对于定常控制模式,脉冲循环控制下沿垂直于圆锥截面对称面径线分布的时间平均切向速度和轴向涡量范围较广;在脉冲循环控制下,动量传递的主要表现在离散涡的形成而不是气流的加速。     

Ship target recognition using low resolution radar and neuralnetworks

The classification of ship targets using low resolution down-range radar profiles together with preprocessing and neural networks is investigated. An implementation of the Fourier-modified discrete Mellin transform is used as a means for extracting features which are insensitive to the aspect angle of the radar. Kohonen's self-organizing map with learning vector quantization (LVQ) is used for the classification of these feature vectors. The use of a feedforward network trained with the backpropagation algorithm is also investigated. The classification system is applied to both simulated and real data sets. Classification accuracies of up to 90% are reported for the real data, provided target aspect angle information is available to within an error not exceeding 30 deg     

Collision Avoidance System Synchronization

The collision avoidance synchronization system provides a method by which over 1000 aircraft can be accommodated in a 250-mile radius. Information is exchanged at a data rate of once every 3 seconds. Master-time synchronization permits one-way ranging between aircraft with an rms range error of less than 120 feet (36.6 meters) when both use the same master. A maximum error of less than 1000 feet (304.8 meters) rms between two aircraft occurs when each is tied back to a different master and each is at the limits of a hierarchy air-to-air synchronization extension system. An asynchronous backup mode of operation is provided to permit system operation in low-density areas beyond coverage of the master system time.     

一种适用于飞行器复杂外形的表面与空间网格生成方法

本文通过建立反映机身横截面外形特征的控制点概念，及在控制点间分配网格点数方式，给出了一种非常实用、交互式的表面网格生成方法，所生成的网格失真度小，物体保形好，生成适用于CFD计算需要的表面网络花费的时间少，适用性强。基于无限插值理论，引入本文提出的网格正交控制、物面法向量控制、加权平均光顺措施，给出了一种改进的空间网格生成方法，有效克服了传统无限插值网格生成方法在复杂外形网格生成方面的缺陷，有效改善了网格的法向疏密性、贴体性及周向网格的均匀性，对真实飞行器部件网格生成非常迅速。以某飞行器复杂机身表面与空间网格生成，及无人机翼身组合体空间网格生成为例，检验了本文网格生成方法的实用性和有效性。     

一种矢量调制移相器的反馈补偿设计方法

针对矢量调制移相器存在的移相误差和增益波动问题,提出一种矢量调制移相器的反馈补偿设计方法.在分析了矢量调制的移相原理及影响移相精度和增益稳定性的误差因素的基础上,根据反馈补偿原理对误差因素进行补偿校正.首先通过自动化的测试和处理流程,得到移相器的相位和增益误差特性表,然后将该误差特性表反馈至移相器监控单元,最后监控单元利用插值算法和归一化原理实现对误差量的补偿校正.对采用该方法设计的移相器进行实际测试,结果表明：其移相精度小于1°,增益随相位变化波动小于0.4 dB,对比补偿校正之前,移相精度和增益稳定性得到了大幅提高和改善,从而验证了该方法的有效性.     

离散滑模导引律设计

 基于平面内目标-导弹相对运动方程的离散形式,给出了离散滑模变结构导引律设计方法。推导出了一种与连续时间自适应滑模制导律的离散化形式相同的离散变结构导引律。在不需要知道目标法向加速度界限, 而只需要知道其在两个采样周期之间可能变化范围的条件下,设计了一种能显著降低系统抖动的离散滑模导引律,设计的同时给出了一种近似估计目标法向加速度的方法。从理论上证明了上述两种离散滑模导引律具有有限时间收敛的特性。讨论了离散滑模导引律的准滑动模态的切换带范围,给出了离散滑模导引律的终端脱靶量计算方法,最后以某空间拦截问题为实例验证了本文结果的正确性。     

Split vector radix algorithm for two-dimensional Hartley transform

A fast algorithm is presented which computes the two-dimensional Hartley transform. This algorithm is referred to as the split vector radix algorithm. It uses the decimation in frequency decomposition and, due to its in-place property, it does not require midmemory devices or matrix transposition. Its computational structure is simpler than that of the algorithm of L.Z. Chen (1983), and it is easy to program. Compared with the vector radix algorithm of R. Kumaresan and P.K. Gupta (1986), the proposed algorithm saves about 35% of the multiplication and 10% of the additions for the discrete Fourier transform (DFT) of a 4096*4096 real valued input sequence.<>