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Soundsourcelocalizationforobotauditorysystemusingt
- 基于互相关函数，采用求和广义互相关函数(summed-GCC)法用于机器人系统平台。由于采用不同的映射函数(mapping functions)，GCC法在该平台下，只需三个麦克风即可进行三维定位，突破了基于TDOA法进行三维声源定位最少需4个麦克风的限制-Based on cross-correlation function, using generalized cross-correlation function sum (summed-GCC) method for the robot s
NS2_SIMULATOR_CAPABILITIES_IN_NODES_LOCALIZATION_
- NS2 SIMULATOR CAPABILITIES IN NODES LOCALIZATION IN WIRELESS NETWORKS
poschap.pdf
- Localization in Sensor Networks Jonathan Bachrach and Christopher Taylor
2010Locations
- 此文档为IEEE TRANSACTIONS ON SIGNAL PROCESSING信号源被动定位与跟踪领域经典文章“Alleviating Sensor Position Error in Source Localization Using Calibration Emitters at Inaccurate Locations”的PDF版原文，相关程序另外上传，进行相同领域研究的童鞋可以参考学习！-This document is for the IEEE TRANSACTIONS ON S
2007_S~1
- IEEE TRANSACTIONS ON SIGNAL PROCESSING在定位与跟踪领域的经典文献“Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution”的PDF文档，此文档的MATLAB程序同时上传，进行信号源被动定位与跟踪研究的同学可下载使用！-IEEE TRANSACTIONS ON SIGNAL PR
wireless
- wireless sensor networks localization techniqes
sensorcomm_2011_3_30_10308
- Self-adaptive Localization using Signal Strength Measurements
EKFslamppt
- 一个详细讲述卡尔曼滤波的ppt，通过它可以学习有关卡尔曼滤博，和机器人自主定位的知识- Kalman filter detailed ppt, through which you can learn more about Bo Kalman filter, and knowledge of robot autonomous localization
multidimensional-scaling
- 本文提出一种基于多维定标的无线传感器网络三维定位算法,结合RSS经验衰减模型和最短路径建立相异性矩阵,采用轻量级矩阵分解算法降低相异性矩阵分解的计算复杂性,并利用网络中存在的周期性消息将初始定位信息回送,在后台使用迭代优化算法对初始定位结果求精。仿真实验表明,在测距误差一定的情况下,该算法能够提高节点三维坐标的初始计算精度,经过集中式的优化求精后与MDS-MAP算法相比,能够明显地提高节点三维定位的精度-This paper presents a method based on multidim
Three-dimensional-WSN
- 在TOA测距的基础上，提出了一种三维无线传感器网络节点定位算法，并对其性能进行了分析，给出了算法的时间同步误差和定位误差。最后在现有仿真平台OMNET++的基础上构建三维仿真模块，对算法进行了仿真实现，给出了该算法的定位精度和覆盖率-This paper proposes one three-dimensional localization algorithm based on TOA distance measurement and analyzed the performance of th
algorithm-based-on-TDOA
- 基于TDOA的空间定位算法Space localization algorithm based on TDOA-Space localization algorithm based on TDOA
Localization-based-on-LS-SVR-in-WSN
- 文章针对无线传感器网络(WSN)节点定位算法DV-Hop的节点间距离沽计误差对定位准确度影响较大的问题，提出一种基于LS-SVR(最小二乘支持向量回归机)的定位算法L-LSSVR. -Aiming at solving the problem of the significant influence of distance estimation error onlocation accuracy of DV-Hop in Wireless Sensor Networks (WSN), a n
OPEN-SWITCH-FAULTS-DETECTION-AND
- This paper proposes an open switch faults detection and localization algorithm for shunt three phase active filter topology. It mainly details converter configuration and examines a simple and reliable optimised fault diagnosis method. The con
Color-iris-recognition
- 本文在介绍虹膜识别系统基本原理的基础上，比较和分析了现有的较有影响的灰度及彩色虹膜定位算法及其缺点和不足，并提出改进方案。-In this paper, the basic principle of introducing the iris recognition system, comparison and analysis of the more influential grayColor iris localization algorithm and its hortcomings and
wsnmg
- 定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运
UWB_localization
- Thesis on UWB localization using beacons
Iterative-MonteCarlo
- 研究移动无线传感网中的节点定位问题，分析影响蒙特卡罗定位精度的两个因素：观测值和前一时刻的位置样本集，提出一种迭代蒙特卡罗定位算-Research in mobile wireless sensor network node localization problems, analyze the impact of positioning accuracy of Monte Carlo two factors: the observed value and the location of the
Thesis-Cooperative-localization-in-wireless-netwo
- thesis about cooperative localization in wireless sensor network , very beneficial in this field
Angle-of-Arrival-Localization-for
- In this paper, we investigate the problem of reliable detection and localization of active sound source using a new fusion approach of the vision and the acoustic data that enables reducing errors of acoustic localization caused mainly by syn
references
- localization algorithm