基于单片机的GPS定位系统的设计与实现

针对民用定位产品存在的精确度低、携带不轻便、性价比低等问题,从硬件、上位机软件等方面研究并设计了一种基于C8051F020单片机的GPS定位系统,由GPS接收模块、通信模块、单片机控制模块和上位机控制模块组成。采集数据可由多种方式上传至上位机,上位机采用卡尔曼滤波器对该GPS定位系统的测试数据进行处理和误差分析,分析结果表明该定位系统定位误差小,误差率在0-1%之间,定位精确度高,具有较高实用价值,适合应用于民用定位产品之中。     

一种基于道路约束的变结构多模型跟踪算法

有效使用道路信息能显著提高地面运动目标跟踪性能。针对复杂道路网运动目标跟踪,给出了一种道路约束下的滤波和建模方法。首先描述了道路网的数学模型和道路约束条件下的过程噪声修正方法,根据道路约束最大后验概率估计准则给出了一种路段切换时状态和协方差修正公式;接着提出一种根据目标当前所处路段自适应滤波模型生成的变结构多模型(VSMM)方法,有效减小道路运动目标的模型动态误差,提高跟踪性能。仿真结果证明了该算法的优越性能。     

Determination of dissolved and particle-bound PCB congeners at ultra-trace concentrations in water

Adsorption of 10 PCB congeners in aqueous solutions on glass-fibre filters taken from different boxes but of the same type were not significantly different. The standard deviations using filters from the same box were below 10% at concentration levels of 4.1?ng?L^?1. At this level, the adsorption of dissolved PCB at the filters was in the range of 5–20% depending on the congener. This led to a procedure for determination of dissolved and particle-bound congener in authentic landfill leachate, which included correction for adsorption losses. The procedure was based on filtration through glass-fibre filters, followed by trapping of the PCB in the eluate on solid-phase extraction (SPE) disks. After separate supercritical fluid (SFE) extractions, with carbon dioxide, of the filters as well as of the SPE disks, the extracts were analysed on a two-column capillary GC-ECD system. Corrections for congener adsorption on glass-fibre filters were made, from which corrected distribution constants between particle-bound and dissolved PCB congener in the water phase could be obtained for authentic landfill leachate. These values (10⁴–10⁵) agreed well with those obtained by others.     

数字滤波器仿真软件评估的谱分析方法研究

本文讨论了仿真模型验证常用的技术方法,针对数字滤波器仿真软件的特点,提出了采用谱分析的方法进行可信性评估.以双线性变换法设计的IIR数字滤波器仿真软件的可信性评估为例,应用Matlab软件分别采用程序设计法、基于SPTool的频谱分析方法和基于Simulink的频谱分析方法实现了对数字滤波器仿真软件滤波结果的频谱分析.     

Algorithm of SAR satellite attitude measurement using GPS aided by kinematic vector

In this paper,in order to improve the accuracy of the Synthetic Aperture Radar (SAR) satellite attitude using Global Positioning System (GPS) wide-band carrier phase,the SAR satellite attitude kinematic vector and Kalman filter are introduced.Introducing the state variable function of GPS attitude determination algorithm in SAR satellite by means of kinematic vector and describing the observation function by the GPS wide-band carrier phase,the paper uses the Kalman filter algorithm to obtian the attitude variables of SAR satellite.Compared the simulation results of Kalman filter algorithm with the least square algorithm and explicit solution,it is indicated that the Kalman filter algorithm is the best.     

基于雷达的嵌入式车载辅助驾驶系统的设计

提高车辆驾驶的安全性和舒适性是智能交通系统(ITS)的主要研究内容之一.介绍了自行研制的车载辅助驾驶系统,论述了其基本设计思想和总体方案.对系统的硬件实现、基于模糊推理的辅助驾驶系统的控制算法和雷达信号的Kalman滤波等技术进行了研究.经过现场试验证明该系统是切实可行的,在汽车行进过程中具有安全距离保持的功能,并且较好地体现了驾驶员的驾驶特征.     

一种磁控管用扼流线圈仿真设计

采用电路仿真软件仿真滤波组件S参数曲线,观察曲线随器件参数的变化;介绍利用三维全波电磁仿真软件HFSS简化设计流程的方法,并与测试结果对比.结果 表明:利用3D仿真软件在满足器件设计精度的同时可以简化线圈的设计流程.     

Extended Kalman Filter-based localization algorithm by edge computing in Wireless Sensor Networks

The Extended Kalman Filter (EKF) has received abundant attention with the growing demands for robotic localization. The EKF algorithm is more realistic in non-linear systems, which has an autonomous white noise in both the system and the estimation model. Also, in the field of engineering, most systems are non-linear. Therefore, the EKF attracts more attention than the Kalman Filter (KF). In this paper, we propose an EKF-based localization algorithm by edge computing, and a mobile robot is used to update its location concerning the landmark. This localization algorithm aims to achieve a high level of accuracy and wider coverage. The proposed algorithm is helpful for the research related to the use of EKF localization algorithms. Simulation results demonstrate that, under the situations presented in the paper, the proposed localization algorithm is more accurate compared with the current state-of-the-art localization algorithms.     

基于卡尔曼滤波的IFM系统测量LFM信号载频方法

现代雷达广泛使用线性调频(LFM)信号,而雷达对抗侦察中传统的瞬时测频(IFM)系统却无法分析测量LFM信号的脉内频率信息,限制了IFM系统的使用.采用在IFM系统中微波鉴相器输出I、Q正交信号后加入模数转换器(ADC)和卡尔曼滤波器的方法,对传统1FM系统进行了优化改进,不但实现了对LFM信号脉内频率和调频系数的测量...