Optimal speckle reduction in polarimetric SAR imagery

Speckle is a major cause of degradation in synthetic aperture radar (SAR) imagery. With the availability of fully polarimetric SAR data, it is possible to use the three complex elements (HH, HV, VV) of the polarimetric scattering matrix to reduce speckle. The optimal method for combining the elements of the scattering matrix to minimize image speckle is derived, and the solution is shown to be a polarimetric whitening filter (PWF). A simulation of spatially correlated, K-distributed, fully polarimetric clutter is then used to compare the PWF with other, suboptimal speckle-reduction methods. Target detection performance of the PWF, span, and single-channel |HH|² detectors is compared with that of the optimal polarimetric detector (OPD). A novel, constant-false-alarm-rate (CFAR) detector (the adaptive PWF) is as a simple alternative to the OPD for detecting targets in clutter. This algorithm estimates the polarization covariance of the clutter, uses the covariance to construct the minimum-speckle image, and then tests for the presence of a target. An exact theoretical analysis of the adaptive PWF is presented; the algorithm is shown to have detection performance comparable with that of the OPD     

Cascaded detector for multiple high-PRF pulse Doppler radars

A postdetection design methodology for a multiple high-pulse-repetition frequency (PRF) pulse Doppler radar has been developed. The postdetection processor consists of an M out of N detector where range and target ambiguities are resolved, followed by a square-law detector which enhances the minimum signal-to-noise (S/N) power-ratio per pulse burst performance. For given probabilities of false alarm and detection, formulas are derived from which the three thresholds associated with the cascaded detector can be found. Fundamental tradeoffs between the minimum S/N required, number of ghosts, and the number of operations (NOPs) that the cascaded detector must perform are identified. It is shown that the NOPs and the number of ghosts increase and the minimum S/N required decreases as the binary M out of N detector passes more detections to the square-law detector     

单输入系统的最优闭环极点区域探讨

本文基于无限时域二次型性能指标的最优控制,讨论单输入线性定常系统闭环极点的分布区域问题。文中引入最优闭环极点区的概念,提出不等式寻优法和加权阵寻优法,并举例说明了两种方法在研究最优闭环极点区问题上的应用。     

平板边界层转捩的数值模拟

对于自由湍流引起的压力梯度为零的平板边界层转捩过程的数值模拟,本文提出了一个单方程湍流模型 (VL M模型),对湍流粘性系数和湍流长度尺度都进行了修正以正确引入低雷诺数效应。数值计算表明,该模型在自由来流湍流度为 0.03～8%的大范围内能正确模拟边界层转捩全过程,包括转捩区起点位置和转捩区长度、边界层内的平均及脉动参数分布等。本文还提出了上述转捩过程的时均化五阶段模型。      

氢燃料超音速燃烧室实验研究

本文介绍超音速燃烧冲压发动机燃烧室实验研究,模型燃烧室呈突扩台阶和扩张形,用电弧加热空气。燃烧室入口Ma =2 1,总温 12 0 0K,总压 7× 105Pa。      

大多普勒容限巴克码脉压

 本文介绍用补偿式非相干型旁瓣抑制滤波器(SSF)实现13位巴克码脉冲压缩旁瓣抑制的理论计算及实验结果。补偿式非相干型SSF采用最小二乘近似逆滤波方法设计,若子脉冲宽度为0.7μs,峰值旁瓣电平不超过-30dB,这种SSF的多普勒容限能达到-40kHz～+40kHz。理论计算及实验结果都表明,所设计的补偿式非相干型SSF的多普勒容限比具有同样长度冲激响应序列的R-G-ISSF有显著改善。     

Automated air defense system using knowledge-based system

The proposed KAAD (knowledge-based automated air defense) system demonstrates a man-machine environment for airspace defense systems. When the unknown aircraft is hostile, a threat rating and response methods are generated by the system. It serves as a double-check decision-making system for a war control center. In addition to this application, the KAAD system can also be a useful tool as a training program for the war controller. The capabilities of the system are limited due to the shortage of knowledge resources. It requires communications among war controllers and air fighter pilots to organize a practical knowledge base. It is shown that the KAAD system can be combined with an automated ATC (air traffic control) system to become a practical system for air defense applications     

非定常分离流动的Lagrange方法数值模拟

本文对Ｌａｇｒａｎｇｅ坐标系下的边界层方程进行了数值模拟。研究了静止流场中的线涡诱导的非定常边界层流动。数值结果表明，随着边界层接近分离，确实出现了有限时间奇性。流动在驻定点附近很窄的区域内堆积，并在垂直壁面方向迅速增长，形成一脉冲似的突跃。基于此现象讨论了非定常分离的性质和三种分离模式。采用Ｌａｇｒａｎｇｅ方法能很好地说明有限时间奇性，便干精确地给出分离的定义和判据，而且物理常清楚。Ｌａｇｒａｎｇｅ方法有着明显的解析和计算上的优点。     

一种颤振分析新方法

本文提出一种颤振分析新方法－正交搜索法，其本思想是依据解析函数的保角映，沿复变量实部和虚部交替搜索，逐步达到所求方程的根。完全非定常气动力由格林九方法直接计算，颤振分析结果准确。该算法可在计算机上执行，有一定推广价值。