The Effect of Random Steering Vector Errors in the Applebaum Adaptive Array

The effect of random errors in the steering vector of an Applebaum adaptive array is examined. Each component of the steering vector is assumed to have a random error component uncorrelated between elements. The array output signal-to-interferenceplus-noise ratio (SINR) is computed as a function of the error variance. It is shown that the array output SINR becomes more sensitive to steering vector errors as more elements are added to the array and as the received desired signal power becomes larger. The variance of the steering vector error that may be tolerated depends on the required desired signal dynamic range. The larger the dynamic range that must be accommodated, the smaller the error variance must be.     

Computational Precision Requirements for Optimal Weights in Adaptive Processing

The required accuracy for computing the estimated optimum weights of an adaptive processor has been analyzed by investigating the effects of errors in computing the inverse matrix. It is shown that the required precision depends upon the matrix. An equation for the general case is derived. Several special cases are considered in detail. It is shown that the case of a single interference source requires the highest precision. The least stressing case is identifi'ed and compared to the worst case. The requirements for a "typical" case are also considered. A comparison of the requirements for the covariance matrix estimation technique and for adaptive weight implementation using gradient descent techniques is given. It is shown that there is a dichotomy in that cases that do not stress one technique tend to stress the other.     

Instantaneous Frequency Estimation Using Adaptive Linear Predictor Weights

A computationally efficient scheme for estimating the digital instantaneous frequencies of narrowband inputs is introduced. The frequency estimates are obtained by searching for minima of the inverse input power spectrum. This spectrum is estimated at each input sample from the weights of an adaptive linear predictor which uses the LMS (least mean square) algorithm to update its weights. The related minima are sought via an iterative search algorithm, referred to as the iterative frequency estimator. This algorithm is computationally more efficient than available methods, and also provides a higher resolution. Simulation results are included; these include tracking of random message sequences in FM signals, and the formant frequency estimation of speech.     

Effect of Observation Errors on Satellite Attitude Estimation

A study of the effect of observation errors on the best least squares estimate of satellite attitude based on two sets of direction measurements, where one set contains two independent measurements which are corrupted by zero-mean normally distributed additive errors, is summarized. Using Monte-Carlo techniques, the statistics of the estimated rotation of the satellite, from a known reference, were obtained. It was found that one of the parameterizations of the rotation, namely, the vector z, is best suited for estimation, since ?z is normally distributed with zero mean and its standard deviation is independent of the two direction measurements.     

Effect of Sensor Errors on Automatic Gunfire Control

A formal approach is introduced toward mathematically relating errors in processed sensor data to their impact on error in gunfire of ground based, antiaircraft defense systems. An initial budget for sensor errors is formulated in terms of the accuracy requirements imposed upon the gunfire. The analysis is applicable to gun sites that are remotely located from the sensor as well as to colocated gun sites. Here, the radial components of sensor errors (along the sensor track line) are found to affect the target-miss distance of a remote gun by at least an order of magnitude more than their effect on the miss distance of a colocated gun. However, the effects of the traverse components of sensor errors (across the sensor track line) are found comparable in magnitude between remote and colocated guns.     

Effect of Random Synchronization Errors in PN and PSK Systems

The effect of a constant synchronization error on PN systems has been studied by Gill [1]. His results are generalized here for random synchronization errors, and extended to PSK systems using decision directed channel measurements [2]. In both cases, it is shown that the effect of random synchronization errors is to reduce the effective input signal power and to introduce an additional self-noise. The effect is minimized when the synchronization error has zero mean and can easily be evaluated in terms of circuit parameters.     

Effect of Envelope Limiting in Adaptive Array Control Loops

The properties of an adaptive array antenna, including transient response rate and control loop noise, depend on the intensity of the external noise field. This dependence can be reduced by envelope hard limiting in the control loops, without degrading the performance of the adaptive array.     

Effect of Single-Bit Digitization in Adaptive Array Control Loops

The properties of an adaptive array antenna, including transient response rate and control loop noise, depend on the intensity of the external noise field. The dependence can be reduced by 1-bit digitization of the real and imaginary parts of the signals from which the envelopes in the control loops are formed. This can be done without degrading the performance of the adaptive array.     

Effect of Initial Values of Adaptive Arrays

The effect of initial weight values on the transient characteristics is investigated on three kinds of adaptive arrays under different principles, i.e., the directionally constrained minimization of power (DCMP), the least mean square (LMS), and the maximum signal-tonoise ratio (MSN). Analysis and computer simulation demonstrate how the convergence rate is affected by the initial setting. The best choice of the initial value is given.     

The Biasing Effect of Random Bit Errors on Binary Telemetry Data

Random bit errors that occur in PCM data during the various phases of the telemetry-data-processing system will not only add a component of mean square error to the experimental data but will also bias it. This paper derives a formula for the bias and describes some of the characteristics of the bias.     

大地测量误差对导弹精度的影响与修正

将导弹发射点的所有测量误差统一为标准发射坐标系与实际坐标系之间的平移和旋转,建立了这两种坐标系之间的变换关系,通过各坐标系内的制导方程,用小偏差法求出了落点偏差与发射点的坐标偏差,高程偏差,方位角偏差及垂线偏差之间的解析关系式,并按该计算模型,对典型远程导弹进行了计算。结果表明,该修正公式计算精度高,能用于导弹射前修正。     

温度传感器动态响应校准误差及影响因素分析

介绍了温度传感器动态响应校准工作的基本原理、方法,分析了产生误差的各种因素及减少误差的方法     

Refractive Errors in Angle-of-Elevation Measurements

It is shown that the errors associated with radio elevation measurements may be investigated systematically using a variational technique. The error occurring when spaced antennas are used is compared with that for a single directional antenna. Integral expressions are obtained for the refractive errors.     

运动声呐空时自适应处理中的多普勒影响分析

为了将空时自适应处理(STAP)理论更好地应用于水下环境,提高运动声呐对混响的抑制性能,研究了多普勒对运动声呐STAP的影响。具体分析了由多普勒造成的回波脉宽伸缩变换以及目标空时导向向量失配带来的影响。分析结果表明,回波包络脉宽变化对于匹配滤波输出信噪比影响较小,而对空时导向向量修正可以有效提高目标方位估计精度以及混响抑制能力。     

测量系统误差对过程监控效果影响分析

讨论在过程控制中出现测量系统误差时对监控效果产生的影响。     

Clutter Covariance Matrix Form Effect on Adaptive MTI Performance

The performance of an adaptive moving target indicator (MTI), which employs a Wiener predictor by means of a transversal filter, is discussed, taking into consideration the effect of the form of the clutter covariance matrix on the MTI performance. It is emphasized that the main tap position in the transversal filter is an important factor which provides degrees of freedom in the clutter covariance matrix to improve the MTI performance. Calculation results show that by exploiting these degrees of freedom, excellent performance is feasible, in particular shorter transient response.     

Effect of Radar Amplitude and Phase Weighting Errors on Clutter Rejection by Burst Waveforms

This correspondence derives simple expressions for the ambiguity function X and the Q function of uniformly spaced burst waveforms that are subject to independent random errors in the transmitter and receiver pulse phase and amplitude weightings. The expressions are similar to those in [1], but have been put in more simplified form, and are valid for more general sources of error.     

Effects of Navigation Errors in Maneuvering SAR

A maneuvering synthetic aperture radar in squint mode, during a loosely piloted maneuver, is simulated with presence of various navigation system errors. The error sources investigated place emphasis on short-term effects, involving platform servo transients, noise and quantization in accelerometers, interaction of angle pickoff uncertainty with the displacement from platform to radar antenna, and uncertainty in this displacement itself. Simulation results are accompained by interpretive discussion, and followed by suggested areas for further study.