Description: 运动估计的算法源程序,搜索精度为半精度,方法是对整像素搜索到的匹配位置的领域像素进行内查,然后进一步搜索,找到更精确的匹配位置-motion estimation algorithm source, search for semi-precision accuracy, is the whole pixel search to match the location of the pixel within the field investigation, then further search, find a more precise match position Platform: |
Size: 1024 |
Author:heshifu |
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Description: 结合马尔可夫过程，提出一种概率论的声源定位算法，并给出了基于DSP的机器人实现。其中声源定位部分采用三个麦克风呈三角形放置，为减小由于噪声等引起的TDOA估计误差，采用马尔可夫过程计算时延，这样计算的时延会更可靠。该方案中的声源定位也属于一维定位，即只需知道声源的方向角-Combination of Markov process, a probability theory of sound source location algorithm, and give the robot based on the DSP implementation. Sound Source Localization in part one of the three microphones were used to place the triangle, in order to reduce the noise caused because of the TDOA estimation error, calculated using Markov process time delay, such delay will be calculated more reliable. The program of the sound source location is also a one-dimensional positioning, that is, only need to know the direction of the sound source angle Platform: |
Size: 871424 |
Author:chen |
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Description: 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. Platform: |
Size: 2048 |
Author: |
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Description: 无线定位代码，包括各种定位算法的基本函数，定位算法包括TDOA、TOA、AOA等-Wireless location code, including the basic function of a variety of localization algorithm, localization algorithm, including TDOA, TOA, AOA, etc. Platform: |
Size: 25600 |
Author:hongyang |
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Description: 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. Platform: |
Size: 480256 |
Author:天使 |
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Description: 论文以增加频率变化率和波达角变化率两个观测量的定位与跟踪方法为基础，讨论其
定位与跟踪算法、频率变化率精确估计、波达角及其变化率的精确估计三个方面的关键技
术。-Paper to increase the frequency rate and the rate of change of direction of arrival of two measurements with positioning and tracking method based on discussion of positioning and tracking algorithm, the frequency change rate of accurate estimates of arrival angle and its rate of change of the accurate estimation of three key technology. Platform: |
Size: 5564416 |
Author:jane |
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Description: 基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下-In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static
fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength
values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However,
the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data
calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees
(LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can
take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations
and reference points. We show that this technique can effectively accommodat Platform: |
Size: 1444864 |
Author:xuchen |
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Description: Y.T.Chan在其论文中提出一种具有解析表达式解的非递归双曲线方程组解法，该算法具有计算量小，速度快，且当TDOA参数估计误差服从高斯分布的情况下，定位精度较高。 本程序借鉴Chan论文中提出的算法，基于MATLAB程序，在已知TDOA估计参数的情况下，对信号源位置进行估计。 希望能够对研究 干扰源定位、无源定位的同志提供帮助。-YTChan in his paper presents a solution with the analytical expression for the non-recursive solution of hyperbolic equations, the algorithm has calculated the amount of small, fast, and when the TDOA estimation error of Gaussian distribution in the case, positioning accuracy than high. The papers presented in the program learn from Chan algorithm, MATLAB-based program, known TDOA estimation parameters in the case, the signal source location estimates. Hope to the study of interference location, passive positioning of the comrades to help. Platform: |
Size: 10240 |
Author:张威 |
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Description: Monitoring applications define an important
class of applications used in wireless sensor networks.
In these applications the network perceives
the environment and searches for event
occurrences (phenomena) by sensing different
physical properties, such as temperature, humidity,
pressure, ambient light, movement, and presence
(for target tracking). In such cases the
location information of both phenomena and
nodes is usually required for tracking and correlation
purposes. In this work we summarize most
of the concepts related to localization systems for
WSNs as well as how to localize the nodes in
these networks (which allows the localization of
phenomena). By dividing the localization systems
into three distinct components — distance/angle
estimation, position computation, and localization
algorithm — besides providing a didactic
viewpoint, we show that these components can
be seen as subareas of the localization problem
that need to be analyzed and studied separately. Platform: |
Size: 134144 |
Author:ginanjar |
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Description: 以LOS时差定位算法为基础的新型NLOS定位估计,TOA，非视距。-A Novel ToA Location Algorithm Using LoS Range Estimation for NLoS Environments Platform: |
Size: 360448 |
Author:陈凤娟 |
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Description: 三卫星定位算法，基于TDOA参数估计卫星干扰源位置，大地坐标系和直角坐标系之间的转换-Three satellite positioning algorithm, parameter estimation of satellite interference sources based on TDOA location, between the geodetic coordinate system and right Angle coordinate system transformation Platform: |
Size: 3072 |
Author:称心 |
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Description: 卡尔曼滤波器是一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。其中 x 轴为位置，y轴为速度。
在代码中，我们设定x的变化是 1:2:200，
则速度就是2，可以由图看到，值经过几次迭代，
速度就基本上在 2 附近摆动，摆动的原因是我们加入了噪声。-Kalman filter is a linear system of equations of state, observation data input and output through the system, the system state optimal estimation algorithm. For the location where the x-axis, y-axis for the velocity.
In the code, we set the variation x is 1: 2: 200, Platform: |
Size: 184320 |
Author:黄艳虎 |
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Description: MeanShift算法是一种无参概率密度估计法，算法利用像素特征点概率密度函数的梯度推导而得， MeanShift算法通过迭代运算收敛于概率密度函数的局部最大值，实现目标定位和跟踪，也能对可变形状目标实时跟踪，对目标的变形，旋转等运动也有较强的鲁棒性。MeanShift算法是一种自动迭代跟踪算法，由 MeanShift补偿向量不断沿着密度函数的梯度方向移动。在一定条件下，MeanShift算法能收敛到局部最优点，从而实现对运动体准确地定位。-MeanShift algorithm is a non-parametric probability density estimation method, the algorithm uses the pixel density gradient feature points obtained by derivation function, MeanShift iteration algorithm converges to a local maximum of the probability density function, location and tracking goals, but also to Object tracking variable shape, deformation, rotation and other moving targets but also robust. MeanShift iterative algorithm is an automated tracking algorithm, constantly moving the MeanShift compensation vector along the direction of the gradient density function. Under certain conditions, MeanShift algorithm can converge to local optima, in order to achieve accurate positioning of the moving body. Platform: |
Size: 61440 |
Author:张聪 |
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Description: Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method. Then we investigate the node self-localization methods. Since the widespread adoption of the wireless sensor network, the localization methods are different in various applications. And there are several challenges in some special scenarios. In this paper, we present a comprehensive survey of these challenges: localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network. Finally, we introduce the evaluation criteria for localization in wireless sensor network. Platform: |
Size: 1106548 |
Author:atrakpc@yahoo.com |
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Description: 针对小型无人机在无卫星导航信号条件下的导航问题, 结合光流及地标定位设计了使用摄像头、惯性测量器件、超声测距仪等传感器融合的无人机室内导航方法. 文章使用补偿角速率的光流微分法计算帧间像素点小位移, 并用前后误差算法提取精度较高的点, 避免像素点跟踪错误, 提高了光流测速的精度 对得到的光流场用均值漂移算法进行寻优, 得到光流场直方图峰值, 以此计算光流速度. 本文提出了无累积误差的连续地标定位算法, 实时测量无人机位置. 通过多速率卡尔曼滤波器对观测周期不一致的位置、速度信息进行最优估计. 在搭建的八旋翼无人机平台上试验, 将位置与速度测量结果分别与激光和PX4FLOW数据对比, 结果表明该导航方法可以有效抑制定位跳变与光流测量噪声误差, 给出精确的位置与速度估计.
-Problems for the Navigation satellite navigation signals in the absence of conditions, and in conjunction with optical flow landmark UAV design indoor navigation positioning method using the camera, inertial measurement device, an ultrasonic range finder sensor fusion article using the compensation angle computing optical flow rate of the inter-pixel differentiation small displacements, and extracted with high precision before and after the point of error algorithm, to avoid the tracking error pixel, improve the accuracy of optical flow speed optical flow field obtained for the mean shift algorithm optimization, the histogram peak optical flow, in order to calculate the optical flow velocity. in this paper, the landmark location algorithm continuously accumulated error is measured in real time the position of the UAV by multirate Kalman filter observation period inconsistent positions , optimal estimation speed information. tested on eight rotor UAV platform structures, the position a Platform: |
Size: 882688 |
Author:lou tayzan |
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Description: 波达方向（DOA）估计的基本问题就是确定同时处在空间某一区域内多个感兴趣的信号的空间位置（即多个信号到达阵列参考阵元的方向角）。最早的也是最经典的超分辨DOA估计方法是著名的MUSIC方法，MUSIC是多重信号分类（Multiple Signal Classification）的英文缩写。它是由R．O． Schmidt于1979年提出来的，由1986年重新发表的。MUSIC算法利用了信号子空间和噪声子空间的正交性，构造空间谱函数，通过谱峰搜索，检测信号的DOA．(The basic problem of DOA estimation is to determine the location of multiple interested signals in a certain area at the same time, that is, the direction angle of multiple signals arriving at the array reference element. The earliest and the most classical super-resolution DOA estimation method is the famous MUSIC method, and MUSIC is the abbreviation of Multiple Signal Classification. It was proposed by R.O.Schmidt in 1979 and was republished in 1986. The MUSIC algorithm takes advantage of the orthogonality between the signal subspace and the noise subspace, and constructs the spatial spectral function. It detects the DOA. of the signal by spectral peak search.) Platform: |
Size: 43312128 |
Author:斗斗 |
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Description: 角度和时延联合估计（JADE）算法MATLAB程序，主要用于目标定位(Angle and time delay joint estimation (JADE) algorithm MATLAB program is mainly used for target location.) Platform: |
Size: 4096 |
Author:小小小马 |
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Search - location estimation algorithm