用太阳源法测量遥测系统的品质因数G/T

阐述利用太阳源法测量遥测系统品质因数G/T的原理,提出可用于工程实际的实现方法,重点对太阳流量密度、K1因子、K2因子等参数进行分析,给出工程应用计算方法。最后,以某遥测系统为例,给出了采用太阳源法和信标塔法的测量值,并对测试结果进行比对分析。实测结果分析表明,太阳源法测得的G/T重复测试精度小于0.4 dB,与信标塔法测试结果相差小于0.6 dB。因此,太阳源法合理可行,可广泛应用于遥测系统指标测试。     

The AN/APS-6 radar

The AN/APS-6 radar was to scan a 1200 coneshaped volume ahead of the aircraft flight path in selected ranges of five, 25 and 65 miles for radar search, with the maximum range extended to 100 miles for radar beacon. When within one-half mile of a selected target, the set could be switched to the gun aim mode for accurate aim-and-fire of the six 50-caliber aircraft guns. The design, installation and protection of this radar are described     

基于GRU的仪表着陆系统故障预测方法研究

故障预测技术在保障仪表着陆系统的可靠运行、提高空管效能等方面具有重要应用价值。结合仪表着陆系统运行特征和实际运行维护工作,提出一种基于GRU 的仪表着陆系统故障预测方法。以航向信标为研究对象,在分析其监控参数与设备运行状态之间的关系后,将监控参数作为故障特征参数;根据监控参数时间步长、时变性特征显著的特点,采用GRU 预测监控参数的未来变化趋势;根据监控参数的隶属函数计算出参数未来时刻可能发生“故障”的概率,实现对航向信标故障的预测。结果表明：基于GRU 的预测方法的相对预测精度在95% 以上。     

Improved COSPAS-SARSAT locating with geostationary satellite data

The COSPAS-SARSAT system locates distress beacons via Doppler analysis of beacon transmissions as observed by low Earth orbiting (LEO) satellites. By contrast, the 406 MHz search and rescue transponder on the geostationary satellites can measure only the transmitted frequency of the beacon, which is not currently being used in location determination. This report shows that a combined data approach can significantly improve the locating success rate, the time delay to the first solution, and the accuracy of location estimates     

Artificial Beam Sharpening Technique for Radar Beacon Systems

A method of improving angular discrimination artificially in radar beacon systems, without going to extremely high frequencies of operation or using unreasonably large interrogator antennas, involves the use of a null-type antenna pattern superposed on a normal directional beam. The effective are over which replies are obtained is determined by an amplitude discriminator circuit within the beacon which compares the amplitude of the pulse signals received on the null pattern with those received via the directional beam. Only if the latter exceed the former by a predetermined amount does the beacon produce a reply. The method, which has been tried experimentally and its theory verified, produces an increase in traffic handling capacity, as well as improved angular resolution, by reducing unwanted triggering and, hence, clutter on the display and the over-interrogation of transponder beacons. An antenna is described which eliminates triggering on sidelobes by providing the proper current distribution to the radiating elements to cause the null pattern to cover the sidelobes of the normal beam. Triple-pulse amplitude discriminators have been built and tested in a double-pulse interrogation system. Some theoretical considerations and design curves and equations for use in designing nulltype antennas are given in the Appendix.     

一种MIMO雷达幅相误差估计方法

 针对单基地相关多输入多输出(MIMO)雷达中存在的阵列幅相误差问题进行了研究。给出了单基地相关MIMO雷达的阵列模型,并提出了一种MIMO雷达幅相误差估计方法。利用发射正交信号对阵列接收信号进行匹配滤波,可分离得到类似传统阵列的"虚拟阵列",利用分时信源数据将该阵列中真实导向矢量中信源波达方向(DOA)引起的相位与幅相误差分离开,通过构造代价函数得到波达方向估计值,进而分别得到发射阵与接收阵的幅相误差的估计值,同时给出了误差引入量分析。最后通过仿真验证了该方法的有效性。本文介绍的方法简单可行,适用于任意构型MIMO雷达的幅相误差估计。     

基于萤火虫算法的磁信标自主定位方法

传统定位和跟踪应用(如雷达和GPS等)受天气、地域的限制,无法适应室内、地下、水下等应用场合,对此研究了一种低频磁信标定位方法,可穿透土壤、岩石、海水、建筑物和许多其他类型的介质,不受恶劣的天气条件或昼夜变化的直接影响,在许多室内和室外环境中应用十分方便。针对传统磁信标定位存在的问题,分析了分离式磁信标定位的原理,给出了萤火虫算法在磁信标定位中的数学模型,提出了一种基于萤火虫算法的磁信标自主定位方法,该方法适应性更强,更易于工程实现,最后通过仿真和实验验证了该方法的可行性。     

Medium frequency broadcast of differential GPS data

The broadcast performance of DGPS (differential global positioning systems)/radio beacons is studied. It is found that a combination of receiver limiting and forward error corrections is very effective against the atmospheric noise which characterizes the MF band. This combination significantly reduces the probability of bit error and the average time between differential updates. The authors compute the probability of link outage versus range, and find that forward error correction significantly increases DGPS/radio beacon coverage. It is found that groundwave/skywave interference slightly increases the probability of outage at moderate ranges. An estimate is made of the expected duration of outage for the DGPS/radio beacon signal. All results are based on analytical and experimental results     

Reiterative median cascaded canceler for robust adaptive array processing

A new robust adaptive processor based on reiterative application of the median cascaded canceler (MCC) is presented and called the reiterative median cascaded canceler (RMCC). It is shown that the RMCC processor is a robust replacement for the sample matrix inversion (SMI) adaptive processor and for its equivalent implementations. The MCC, though a robust adaptive processor, has a convergence rate that is dependent on the rank of the input interference-plus-noise covariance matrix for a given number of adaptive degrees of freedom (DOF), N. In contrast, the RMCC, using identical training data as the MCC, exhibits the highly desirable combination of: 1) convergence-robustness to outliers/targets in adaptive weight training data, like the MCC, and 2) fast convergence performance that is independent of the input interference-plus-noise covariance matrix, unlike the MCC. For a number of representative examples, the RMCC is shown to converge using ~ 2.8N samples for any interference rank value as compared with ~ 2N samples for the SMI algorithm. However, the SMI algorithm requires considerably more samples to converge in the presence of outliers/targets, whereas the RMCC does not. Both simulated data as well as measured airborne radar data from the multichannel airborne radar measurements (MCARM) space-time adaptive processing (STAP) database are used to illustrate performance improvements over SMI methods.     

测速雷达信标测量数据复原新方法

给出了一种测速雷达信标测量多普勒频率复原的新方法,此方法与目标运动的初始轨道参数无关。与已有方法相比较,新方法解决了已有数据复原方法对初始轨道参数的依赖性,理论上消除了初始轨道参数精度对数据复原精度的影响。通过与已有方法计算结果的比对分析表明,新方法能够满足数据处理精度要求,具有较好的适用性,是实现信标测量数据复原的有效途径。     

Precision large scale air traffic surveillance using IMM/assignmentestimators

We present the development and implementation of a multisensor-multitarget tracking algorithm for large scale air traffic surveillance based on interacting multiple model (IMM) state estimation combined with a 2-dimensional assignment for data association. The algorithm can be used to track a large number of targets from measurements obtained with a large number of radars. The use of the algorithm is illustrated on measurements obtained from 5 FAA radars, which are asynchronous, heterogeneous, and geographically distributed over a large area. Both secondary radar data (beacon returns from cooperative targets) as well as primary radar data (skin returns from noncooperative targets) are used. The target IDs from the beacon returns are not used in the data association. The surveillance region includes about 800 targets that exhibit different types of motion. The performance of an IMM estimator with linear motion models is compared with that of the Kalman filter (KF). A number of performance measures that can be used on real data without knowledge of the ground truth are presented for this purpose. It is shown that the IMM estimator performs better than the KF. The advantage of fusing multisensor data is quantified. It is also shown that the computational requirements in the multisensor case are lower than in single sensor case, Finally, an IMM estimator with a nonlinear motion model (coordinated turn) is shown to further improve the performance during the maneuvering periods over the IMM with linear models     

Multipath-adaptive GPS/INS receiver

Multipath interference is one of the contributing sources of errors in precise global positioning system (GPS) position determination. This paper identifies key parameters of a multipath signal, focusing on estimating them accurately in order to mitigate multipath effects. Multiple model adaptive estimation (MMAE) techniques are applied to an inertial navigation system (INS)-coupled GPS receiver, based on a federated (distributed) Kalman filter design, to estimate the desired multipath parameters. The system configuration is one in which a GPS receiver and an INS are integrated together at the level of the in-phase and quadrature phase (I and Q) signals, rather than at the level of pseudo-range signals or navigation solutions. The system model of the MMAE is presented and the elemental Kalman filter design is examined. Different parameter search spaces are examined for accurate multipath parameter identification. The resulting GPS/INS receiver designs are validated through computer simulation of a user receiving signals from GPS satellites with multipath signal interference present The designed adaptive receiver provides pseudo-range estimates that are corrected for the effects of multipath interference, resulting in an integrated system that performs well with or without multipath interference present.     

基于低频磁信标的全天时自主定位方法

由于以GPS、北斗为代表的GNSS信号容易受到天气和位置的影响,单纯使用GNSS在某些条件下会有较大的定位误差,甚至无法提供定位服务。针对这种情况研究了基于低频磁信标的自主定位方法,分析了电磁学中的毕奥-萨伐尔定律等原理,建立了基于低频磁信标定位的系统模型,给出了分离式双信标定位方法。通过实验分析了信标安装的误差特性,最后通过仿真和实际实验验证了该定位方法的有效性,对于室内机器人导航、地下生物探索、水下跟踪定位等单独采用GNSS定位影响较大的场景下的自主定位与导航具有重要的工程应用价值。     

Random Error in ARGOS and SARSAT Satellite Positioning Systems

ARGOS and SARSAT are two satellite Doppler navigation systems in which low cost ground beacons transmit bursts of stable frequency signals. The Doppler shifted signals received by the satellite provide the positions of the beacons. The positioning error is dominated by a random component, due mainly to the short-term frequency stability of the beacon oscillator. Theoretical analysis and explicit expressions of the random errors are given.     

基于循环追踪控制的卫星编队构形调整控制律设计

卫星编队控制问题中，分布式控制优于主从式控制，在编队控制中应用日益广泛。提出了一种基于循环追踪算法的分布式控制策略，分析了该方法的优势。由于循环追踪算法存在编队中心由初始几何中心固定并与运动过程无关的弱点，引进了虚拟灯塔导引进行联合控制实现编队中心可变。建立了三维空间相对运动数学模型，设计非线性循环追踪算法与虚拟灯塔导引联合控制律，对全员联合控制与单星联合控制其余卫星采用非线性循环追踪控制两种方案的计算结果进行比较。结果表明，全员联合控制律的控制方案优于仅单星采用联合控制的方案，两种方案均可实现卫星编队按指定构形运动。     

Recent progress in satellite radio beacon studies with particular emphasis on the ATS-6 radio beacon experiment

In May 1974 a new era in satellite radio beacon studies of the ionosphere opened with the ATS-6 Radio Beacon Experiment. The history of radio beacon studies up to that time is reviewed briefly and the particular features of the ATS-6 beacon are discussed together with the basic theory required to interpret the measurements. The main emphasis is on the ATS-6 beacon experiment but other beacon data are discussed which provide the necessary background. The diurnal and seasonal variations of the total electron content and the plasmaspheric content are presented for the U.S.A. and Europe. In winter the plasmaspheric content over the Western Hemisphere maximizes at night while in Europe and the Pacific it appears to peak near noon. This is thought to be caused by flow of plasma from the local and conjugate ionospheres. Night maxima of total electron content are found showing that they do not arise from depletions of the plasmaspheric content. The plasmaspheric content is highly sensitive to solarterrestrial disturbance, it reaches a minimum on the third day of a storm and may take between 10 and 20 days of partial filling and emptying to recover. Traveling disturbances in U.S.A., Europe, and India show similarities of speeds but not of direction. Beacon observations of micropulsations in total content, tropospheric fluctuations and Fresnel diffraction by intense ionospheric irregularities are discussed together with radio wave scintillations and some applications of beacon radio data to communications and navigation.     

Flight path estimation using frequency measurements from a wideaperture acoustic array

A narrowband technique based on the acoustical Doppler effect is proposed for estimating the trajectory of a turbo-prop aircraft in level flight with constant velocity as it transits over a ground-based passive acoustic sensor array. The basic principle is to measure the temporal variation of the instantaneous frequency (IF) of the acoustic signal received by each sensor and then to minimize the sum of the squared deviations of the IF estimates from their predicted values over a sufficiently long period of time for all sensors. The technique provides estimates of the propeller blade rate and the five source motion parameters that describe the aircraft trajectory. The six dimensional minimization problem is reduced to a five dimensional maximization problem, which is solved numerically using the quasi-Newton method. A simple method is described that provides the initial parameter estimates required for the numerical maximization. The effectiveness of the motion parameter estimation technique is verified using real acoustic data recorded from a wide aperture microphone array during various transits of a turbo-prop aircraft     

面向室内场景的惯性磁感应定位方法

针对卫星拒止的室内导航问题,在现有磁信标定位技术的基础上,通过分析低频旋转磁场的特点,建立了一种不受传感器姿态和磁信标磁矩信息影响的磁感应矢量夹角观测模型,并结合MEMS惯性导航的误差模型提出了一种以磁感应矢量夹角的正余弦值为量测信息的惯性磁感应动态定位方法,避免了磁传感器姿态误差和磁矩误差对定位结果的影响。利用实验室的双轴磁信标实验系统进行静态测试,验证了磁感应定位模型具有不受传感器姿态、环境中遮挡物以及磁矩影响的特点;通过数值仿真的方式对基于无迹卡尔曼滤波(UKF)的惯性磁感应定位方法进行验证,结果表明该方法能有效地抑制惯性导航的发散,且位置最大误差小于0.75 m,满足大多数室内场景下的高精度导航定位需求。     

轴向旋涡强化矩形喷流掺混的机理研究

本文介绍了在低速射流风洞上开展的二维喷管来流带旋涡的模拟实验。通过流场观察，壁面静压和矩形喷流三维流场的测试。     

旋转蛇形通道内冷气流动和换热的数值模拟

对于具有近真实发动机参数的涡轮叶片蛇形内冷通道,数值模拟了旋转状态下光滑、前后缘带肋及环肋结构的内流场和温度场分布,对比分析了其流动和换热特性。结果表明,带肋通道各面换热均明显好于光滑面通道;旋转对各通道进气段的影响比出气段明显;哥氏力在环肋通道中产生了最为强烈的截面二次流;光滑通道出气段换热受弯管效应的影响最为显著。