Detectors for infrared heterodyne mixing and detection

Conclusion For wavelengths < 50m fast and sensitive detectors are available. For wavelengths > 50m the available detectors are far from ideal. Research and development of far infrared detectors for the mixing purpose are highly recommended.     

Adaptive Input Filter Compensation for Switching Regulators

An input filter is frequently employed between a switching regulator and its power source. However, its presence often results in degradation of dynamic performances and stability. The detrimental interaction is between an input filter and a switching regulator and is a function of the input filter parameters and also of the supply voltage. An earlier paper presented an analysis and design procedure aimed at developing a feed-forward loop to cancel this undesirable interaction. The feed-forward design is extended here to encompass a scheme that automatically accounts for changes in the supply voltage; the result is an adaptive compensation that tracks the input voltage variations. Experimental results are presented that confirm the adaptive nature of the design.     

Design Principles of MIMO Radar Detectors

This paper considers the problem of multiple-input multiple-output (MIMO) radars employing space-time coding (STC) to achieve diversity. To this end, after briefly outlining the model of the received echo, a suitable detection structure is derived, and its performance is expressed in closed form as a function of the clutter statistical properties and of the space-time code matrix. Interestingly, this receiver requires prior knowledge of the clutter covariance, but the detection threshold is functionally independent thereof. At the transmitter design stage, we give two criteria for code construction: the first is based on the classical Chernoff bound, the second is an information-theoretic criterion. Interestingly, the two criteria lead to the same condition for code optimality, which in turn specializes, under the assumption of uncorrelated clutter and square code matrix, in some well-known full-rate space-time codes. A thorough performance assessment is also given, so as to establish the optimum achievable performance for MIMO radar systems.     

Trimmed Generalized Sign and Modified Median Detectors for Multiple Target Situations

The trimmed generalized sign (TGS) nonparametric detector is introduced. The TGS and the modified median detector (MMD) are considered in situations when more than one target is present. Their performance is obtained through Monte Carlo simulations and compared with that of the generalized sign (GS) detector when detecting nonfluctuating signal in Gaussian noise.     

Range Resolution of Targets Using Automatic Detectors

When two targets are closely separated in range, automatic detectors will declare the presence of only one target. To increase the-probability of resolving targets in range, log video should be used and the threshold should be of the form T = ? + F, where the mean ? is the smaller of the two means calculated from reference cells on either the greater range side or the lesser range side of the test cell and F is a fixed number. When the adjacent-detection merging algorithm is used, the probability of resolving targets does not rise above 0.9 until the targets are separated in range by 2.5lse-pulsewidths.     

New SAR Processor Based on Matched Subspace Detectors

This paper deals with a new synthetic aperture radar (SAR) Processor based on a subspace detector designed for man-made target (MMT) detection. As MMTs are more accurately decribed by a set of canonical elements than with isotropic points, we develop a new algorithm which aims at using new models, instead of the isotropic point model commonly used in SAR processors. A subspace detector matched to canonical elements is included in the SAR processing. The implementation and the optimization of subspace detector SAR (SDSAR) algorithm is described. Simple examples of MMT detection in simulations and real data with a target hidden in a forest show the power of our approach. The SDSAR algorithm is shown to be the first robust and tractable algorithm relying on realistic scattering assumptions about the target.     

Modified Savage and Modified Rank Squared Nonparametric Detectors

A modified form of the basic Savage statistic is considered and the performance of a modified Savage (MS) nonparametric detector using this modified statistic is derived. Also, a detector using a modified rank squared statistic (MRS) is introduced. The asymptotic relative efficiency (ARE) of the detectors is determined for chisquare, Rician, and log-normal signal fluctuations when the background noise is assumed Gaussian. The ARE performance of the generalized sign (GS) and Mann-Whitney (MW) detectors is also determined for these families of fluctuations. The ARE performance of the various detectors is then compared, and the results of a computer simulation are presented in which, for a finite number of samples, the performance of the modified detectors is compared with the performance of the GS and MW detectors. It is shown that when using a large number of reference noise samples, the ARE of the GS and MW detectors, the MRS and RS detectors, and the MS and Savage detectors are 0.75, 0.868, and 1, respectively. It is also shown that when using a finite number of reference noise samples the MS and MRS detectors can give a superior performance to that obtained with the MW detector, and that this is particularly true in the cases in which the degree of signal fluctuation is high.     

有输入未建模动态的非线性系统自适应逆设计

对于一类存在输人未建模动态的非线性系统,提出了一种基于RBF神经网络的自适应逆补偿器设计方法。首先用两个神经网络设计了补偿器,一个用来估计输入未建模动态,另一个用来作为未建模动态的自适应逆补偿器。该设计放宽了对未建模动态的一些苛刻的要求,如相对度为零,满足小增益条件等。文中仅要求D(u)逆稳和连续光滑。然后应用反演设计技术设计了控制器,并应用Lyapunov稳定性理论推导出神经网络权重向量的调节律,同时证明了闭环系统的渐近稳定性。最后给出的仿真研究证明了该设计方法的有效性。     

有输入未建模动态的导弹鲁棒控制器设计

在导弹系统俯仰通道中存在输入未建模动态情况下，提出了一种基于RBF神经网络和反演控制技术的非线性鲁棒控制器的设计方法。首先应用两个RBF神经网络对输入未建模动态设计了神经网络逆补偿器．然后利用反演控制技术设计了导弹非线性控制器．最后应用Lyapunov稳定性理论推导出RBF神经网络权重矢量调节律，证明了系统的所有信号均有界且全局指数收敛至原点。最后给出的BTT导弹非线性六自由度数字仿真结果显示了该设计方法的有效性。     

Optimization and Performance of Multilevel Quantization in Automatic Detectors

The optimization and performance of the double-threshold or binary method of automatic radar detection has been the subject of numerous studies in the past, and the loss due to this approximation has been shown to be 1 to 2-1/2 dB. By quantization of the input video into more than two levels, this loss can be avoided; however, little information is available on appropriate design procedures and expected performance. In this paper empirical procedures are described to find good settings of the first and second threshold levels, and the corresponding detection performance is determined. These results, which are believed to be close to optimum, show that for the case of quantization into four levels (2 bits), the loss in decibels is reduced to approximately 1/3 of the corresponding value for the binary case. In some cases this is equivalent to a saving of as much as 1-1/2 dB in signal-to-noise ratio.     

Noise, Radar Moving-Window Detectors, and False Returns

Moving-window false report probability is shown to overestimate effects of noise. "False-report-start" probability is calculated and compared to the usual false report probability. The ratio of the two exceeds a simple function of window length, threshold, and noise probability, which is tabulated for some representative values.     

用于飞机概念设计的设计要求输入和初步定参数环境

为了在飞机概念设计过程中给新型号的设计要求组织和基本参数估算提供便捷且可扩展的工具而开发了设计要求与初步定参数环境(EDRIPS)。在这一环境中，设计可以通过友好的用户界面交互地输入飞机的性能要求、构造任务剖面和选取有效载荷，然后以此为基础从约束分析所得的可行域中选取设计点，进而利用一种改进的估算飞机起飞重量的方法进行任务分析以得到飞机的基本设计参数。介绍了各模块的实现措施和所采用的方法。最后通过对一个设计实例的分析验证了EDRIPS应用于飞机概念设计的有效性和可靠性。     

The Detection Performance of the Siebert and Dicke-Fix CFAR Radar Detectors

The Siebert and the Dicke-fix CFAR radar detectors, used to maintain a constant false alarm rate (CFAR) in radar receivers under very similar circumstances, are considered. The Siebert detector represents the maximum-likelihood detection procedure for a signal in Gaussian noise of unknown power level, whereas the Dicke-fix makes use of a bandpass limiter to normalize the input and thus ensure a constant false alarm rate. The detection performance of the two detectors is determined and a comparison shows that over a wide range of parameters, the Dicke-fix introduces a loss which is approximately 1 B larger than for the Siebert detector.     

False Alarm Rate for Rank Quantizer When Input Range Samples are not Independent

Under the assumption that the non-independent range samples fed into the rank quantizer form a first-order Markov sequence, the first threshold false alarm probability Pn is written in the form of a multiple integral, the multiplicity being equal to the number of samples or quantizer taps. The Rice model for narrow-band noise (clutter) is used to check the effect of correlation on Pn using the derived formula. For the limited case examined, correlation be tween samples decreases Pn as compared with the independent samples case.     

Moments of Estimated Input Power for Finite Sample Averages of Radar Receiver Outputs

Closed-form solutions for all the estimated power moments as a function of the number of independent samples were found for the linear and logarithmic receiver. Incoming signal envelope distribution is assumed to be Rayleigh. The estimates' expected value and standard deviations are plotted and compared with those of a square-law receiver. It is shown that the bias in the expected value for both receivers depends on the number of samples. Only when the number of samples is large does the bias become constant, and the standard deviation around the unbiased mean becomes inversely proportional to the square root of the number of samples. The logarithmic receiver produces the largest standard deviation. When the input samples are dependent, an expansion of the method is suggested to obtain approximate moments.     

Tracking a Maneuvering Target Using Input Estimation

The conventional Kalman tracking filter incurs mean tracking errors in the presence of a pilot-induced target maneuver. Chan,Hu, and Plant proposed a solution to this problem which used themean deviations of the residual innovation sequence to make corrections to the Kalman filter. This algorithm is further developedhere for the case of a one-dimensional Kalman filter, for which an Implementable closed-form recursive relation exists. Simulation results show that the Chan, Hu, and Plant method can accurately detect and correct an acceleration discontinuity under a variety of maneuver models and radar parameters. Also, the inclusion of thislogic into a multiple hypothesis tracking system is briefly outlined.     

有输入未建模动态和不确定性导弹控制器设计

在考虑导弹控制系统同时存在输入未建模动态和参数不确定性的情况下,提出了一种基于RBF神经网络和反演技术的鲁棒自适应控制器的设计方法。首先用两个RBF神经网络对未建模动态进行了补偿,然后利用反演技术设计了鲁棒自适应控制器,对不确定性进行了处理,并用Lyapunov稳定性理论推导出RBF神经网络的权重矩阵调节率以及相关的自适应律,证明了系统的全局稳定性,最后通过仿真计算验证了设计的正确性。     

A Kalman Tracker with a Simple Input Estimator

Two Kalman filter based schemes are proposed for tracking maneuvering targets. Both schemes use least squares to estimate a target's acceleration input vector and to update the tracker by this estimate. The first scheme is simpler and by an approximation to its input estimator the computation can be considerably reduced with insignificant performance degradation. The second scheme requires two Kalman filters and hence is more complex. However, since one of its two filters assumes input noise, it may outperform the first scheme when input noise is indeed present. A detector that compares the weighted norm of the estimated input vector to a threshold is used in each scheme. Its function is to guard against false updating of the trackers and to keep the error covariance small during constant velocity tracks. Simulation results for various target profiles are included. They show that in terms of tracking performance, both schemes are comparable. However, because of its computation simplicity, the first scheme is far superior.     

判断决策单元为Russell技术有效的新方法

证明了决策单元的Russell技术有效与DEA有效的等价性，给出了判断决策单元为Russell技术有效的新的更容易的方法，解决了Russell技术有效度量计算复杂的问题。并用实例说明本算法的可行性。     

Comparison of Two Scanning Radar Detectors: The Moving Window and the Feedback Integrator

A comparison is made between the moving window and feedback integrator detectors for a scanning radar. Detection probabilities and position estimates are calculated by using a Monte Carlo simulation. The moving window is a slightly better detector than the feedback integrator: it provides 0.5-dB better detection capability and 8 percent more accurate estimate of position. However, the feedback integrator can be implemented more easily.