Search - position estimation

Search - position estimation - List

[Books] The GNSS integer ambiguities :estimation and validation DL : 0: The principle of positioning with the Global Positioning System (GPS) is based on determining the distance of at least four GPS satellites to a receiver. For that purpose the so-called code measurements can be used, so that the position of the receiver can be determined up to several meters. In order to allow for navigation with centimeter accuracy, it is however required to use the very precise carrier phase measurements, since the phase of the carrier wave of the GPS signal can be measured up to several millimeters. Unfortunately, a receiver can only measure the phase of the carrier 芒猬
Update : 2010-10-16 Size : 4.6mb Publisher : xufarmer_2007@yahoo.cn
[matlab] miv DL : 0: 一个交叉定位算法的matlab程序，伪线性估计，并给出了克拉美罗下界-A cross-positioning algorithm matlab procedure, pseudo-linear estimation, and gives the lower bound of carats Merro
Update : 2025-04-04 Size : 1kb Publisher : 顾东
[Software Engineering] mcl DL : 0: 详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This article presents a family of probabilistic localization algorithms known as Monte Carlo Localization [MCL]. MCL algorithms represent a robot’s belief by a set of weighted hypotheses [samples], which approximate the posterior under a common Bayesian formulation of the localization problem. Building on the basic MCL algorithm, this article develops a more robust algorithm called Mixture- MCL, which integrates two complimentary ways of generating samples in the estimation. To apply this algorithm to mobile robots equipped with range finders, a kernel density tree is learned that permits fast sampling. Systematic empirical results illustrate the robustness and computational efficiency of the approach.  2001 Published by Elsevier Science B.V. Keywords: Mobile robots Localization Position estimation Particle filters Kernel density trees
Update : 2025-04-04 Size : 1.36mb Publisher : xuyuhua
[Multimedia Develop] IEEE_Integrated_Position_Estimation_Using_Aerial_I DL : 0: IEEE_Integrated Position Estimation Using Aerial Image Sequences.pdf
Update : 2025-04-04 Size : 1.06mb Publisher : wenliang
[matlab] Simple_TOA DL : 0: This a simple position location algorithm using Least Square Estimation algorithm. Timing information is time of flight (TOA) of signal between Tx and Rx. This code generally describes the Positioning method, Also it plots final coordinate of node in 2D. All other information was inlcuded as comments in source code.-This is a simple position location algorithm using Least Square Estimation algorithm. Timing information is time of flight (TOA) of signal between Tx and Rx. This code generally describes the Positioning method, Also it plots final coordinate of node in 2D. All other information was inlcuded as comments in source code.
Update : 2025-04-04 Size : 2kb Publisher :
[3G develop] verilogHDL DL : 0: RS（31，15）译码关键步骤的veilog HDL算法实现，包括关键方程求解，错误位置估计，错误值计算等-RS (31,15) decoding a key step in the algorithm veilog HDL, including key equations, position estimation error, error value, such as
Update : 2025-04-04 Size : 12kb Publisher : 冯小刚
[Other] UNSCENTED_KALMAN_FILTER_FOR_LOCATION_IN_NON_LINE_O DL : 0: The main reason for inaccuracies observed in location estimation, imposed by the propagation conditions of the wireless channel, is the Non Line Of Sight (NLOS) due to transmitted signal blocking. Because of the NLOS, the first TOA, which bears information related to the mobile terminal position, suffers stronger attenuation than later arrivals and therefore wrong timing information is obtained yielding biased position estimation. Several NLOS mitigation algorithms have been presented. One of the most common approaches consists of correcting the TOA measurements exploiting the fact that the variance of the TOA measurements is significantly increased in NLOS scenarios
Update : 2025-04-04 Size : 228kb Publisher : zhangjianrong
[Other] radiocover DL : 0: 这个程序可以计算给定点处的小区信号范围覆盖。-is program computes a map of visibility from a selected point on a topography. It has been written to help the search for radio relay best location. Because it considers only direct line of sight, it gives a good estimation for possible radio link for short distances only (less than 10 km), neglecting curvature of the Earth, Fresnel zone and atmospheric refraction on radio waves propagation. The program computes the relative elevation angle of the mask for each point (the angle is null or negative if the point is visible). The function needs a digital elevation model Z and associated (X,Y) vectors or matrices of coordinates (same unit as Z), position of the point (X0,Y0), the antenna height H0 (for instance 4 m), and the hypothetic antenna height Ha on each topography points (for instance 3 m). When no output argument is given, the function plots a map of the results (color map of mask angles, and blank for visible points, see example screenshot). The script is not fully optimize
Update : 2025-04-04 Size : 424kb Publisher : ken
[matlab] Sensor_Location_Mismatch_and_Diagonal_Loading DL : 0: 當天線位置估計錯誤時，可將其依據演算法修正回來，並且使用apdaptive beamforming技術，能偵測出jammer在哪兒的源碼。-Antenna position estimation error, the same day can be revised based on algorithms to come back and use apdaptive bemforming technology, able to detect where a jammer source.
Update : 2025-04-04 Size : 1kb Publisher : QQMAN1986
[Mathimatics-Numerical algorithms] dd DL : 1: A COMPARISON OF A FLUX OBSERVER WITH A BACK-EMF TECHNIQUE FOR SENSORLESS ROTOR POSITION ESTIMATION
Update : 2025-04-04 Size : 1.83mb Publisher : hacen
[Other] ee DL : 0: 提出了一种多姿态知识模型, 并以之从人脸器官梯度图中获得候选脸的大小、位置、姿态类别和眼、嘴重心坐标, 然后按姿态类别将候选脸与对应的模板进行匹配确认人脸. 该人脸检测算法集人脸检测、姿态估计和眼、嘴定位于一体, 具有检测速度快的特点, 适于多姿态多人脸场合的人脸检测. 该算法只利用了图像的灰度信息, 因此对灰度图像和彩色图像的人脸检测均适用.-Proposes a multi-gesture knowledge model, and to the organs of the gradient map from the human face to get the candidate face size, location, posture, type and eyes, mouth center coordinates, and then press the gesture categories will face a candidate to match with the corresponding template to confirm face. The set of face detection algorithms face detection, pose estimation, and eyes and mouth position in one, with detection of the characteristics of speed, suitable for Multi-pose face of occasions more than face detection. The algorithm uses only images grayscale information, so the grayscale images and color images of face detection apply.
Update : 2025-04-04 Size : 469kb Publisher : 天使
[Algorithm] Current_model_flux_observer DL : 0: Paper about a new close loop current model flux observer to estimate the rotor flux, position and velocity of an induction machine. The current observer includes carefully designed sliding mode functions which are derivative of the fluxes along the and axes. Therefore, when the estimated current converges to the measured one, the flux estimation is a mere integration of the sliding mode function.
Update : 2025-04-04 Size : 473kb Publisher : gregbur
[matlab] Development_of_location-aware_applications DL : 0: 位置感知应用程序市场位置估算技术其它S60 平台运行时中的位置API 使您的应用程序感知位置时需要考虑的因素协助测试的开发工具。-Location-aware applications market position estimation techniques other S60 platform run-time the position of the API to your application-aware location factors to be considered to help test the development tools.
Update : 2025-04-04 Size : 2.86mb Publisher : liu
[Software Engineering] CCA_10_Japon DL : 0: A HOSM Observer with an Improved Zero-speed Position Estimation Design for Surface PMSM Sensor-less Control
Update : 2025-04-04 Size : 762kb Publisher : ConvHelp
[matlab] Underwater_signal_processing DL : 0: 初级的水下信号的处理，LFM信号时的速度和方位联合估计，以及阵列信号的方位判断程序。-Underwater signal processing method, position estimation.
Update : 2025-04-04 Size : 107kb Publisher : 乔子椋
[SCM] 10.1.1.9.9878[1] DL : 0: 无线传感器网络定位技术研究: 传感器网络中相对位置估计-Location technology for wireless sensor networks: the relative position estimation sensor networks
Update : 2025-04-04 Size : 968kb Publisher : yuligeng
[matlab] kalman DL : 0: kalman滤波针对二阶系统的位置速度估计适合于初学kalman滤波算法的朋友代码含有详细解释-kalman filter for the position of second-order system is suitable for beginners speed estimation kalman filter algorithm friend code contains detailed explanations
Update : 2025-04-04 Size : 1kb Publisher : 李楠
[Video Capture] head_pose_estimation DL : 1: 相当强大的代码，能够从kinect采集的数据中学习出人的头部姿势-Very powerful code, the data collected from the kinect to learn a person' s head position
Update : 2025-04-04 Size : 6.09mb Publisher : leonchan
[Video Capture] head-pose-estimation DL : 0: 头部姿势估计的程序，利用鼻尖确定头部的方向，进而确定姿势，采用随机回归森林算法。-Head pose estimation procedures, the use of nose to determine the direction of the head, and to determine the position, using the random forest regression algorithm.
Update : 2025-04-04 Size : 6.09mb Publisher : apollo
[GPS develop] Underwater-GPS-Positioning DL : 0: 提出了基于无线传感器网络的浮标网络水下GPS定位系统模型，分析了该模型的结构、功能以及工作过程，并从几何角度探讨了水下目标的声学定位算法。结合Range-Free算法与分布式算法的思想，设计了一种传感器节点自定位算法，称为BSR（Beacons Signal Ring）定位算法，并对该算法的性能进行了评估与比较。该算法在锚节点处的信标信号中引入能量等级的机制，无需相邻传感器节点间信息交换，有效降低了算法复杂度与通信开销。性能分析结果显示，该算法性能良好，在应用环境下相比于APIT算法与质心算法具有更低的位置估计误差。论文还研究了基于双元检测传感器的协作式的目标跟踪策略，对相应的跟踪过程进行了描述。提出了使用加权质心算法的目标位置估计模型，以及线性预测机制，使跟踪过程具有较小的计算和通信代价。-In this thesis,we presents a buoy network of underwater GPS positioning system model based on the wireless sensor network.The structure,function and process in the model were analyzed.Underwater target acoustic localization algorithm were explored through geometry way.Combined with the idea of Range-Free algorithm and distributed algorithm,a sensor nodes self-localization algorithm were designed,which called BSR (Beacons Signal Ring)localization algorithm,the algorithm performance evaluation and comparison has also been presented.The algorithm use a small number of anchor nodes. Each anchor emits beacons at different power levels.This mechanism does not required information exchange between neighboring sensors,and reduced the complexity of the algorithm and communication overhead effectively.The results of performance analysis showed that BSR provides a lower position estimation error than APIT and Centroid under a wide range of conditions.The thesis introduced process of ta
Update : 2025-04-04 Size : 1.35mb Publisher : lq

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