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利用多普勒现象测试运动物体的运动速度,通过雷达发射与接受的查频计算相应结果-The phenomenon of the use of Doppler test the velocity of moving objects, through the launch and acceptance of the radar-frequency calculation of the corresponding search results
Date : 2025-12-23 Size : 1kb User : 张鑫

Description This function finds the velocity of a 2-dimensional planar wave from at least 2 sensors, by specifying its location (x,y) or (lon,lat) and its respective arrival time. It returns the speed and direction (or tracking if coordinates were given): >> [VEL,DIR] = velocity_triangulation(x,y,time,TOL) where TOL is a tolerance time. You may get a figure with the results, like the one shown in the screenshot. Just take a look to the optional arguments. Enjoy it! Any comments and bugs reports will be very appreciated! MATLAB release MATLAB 7.7 (R2008b) -Description This function finds the velocity of a 2-dimensional planar wave from at least 2 sensors, by specifying its location (x,y) or (lon,lat) and its respective arrival time. It returns the speed and direction (or tracking if coordinates were given): >> [VEL,DIR] = velocity_triangulation(x,y,time,TOL) where TOL is a tolerance time. You may get a figure with the results, like the one shown in the screenshot. Just take a look to the optional arguments. Enjoy it! Any comments and bugs reports will be very appreciated! MATLAB release MATLAB 7.7 (R2008b)
Date : 2025-12-23 Size : 7kb User : Józef

This paper presents a technique which is based on pattern recognition techniques, in order to estimate Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements and more precisely on information extracted from Iub air interface, in wideband code-division multiple access (WCDMA) systems for transmission control purposes. Pattern recognition is performed by Hidden Markov Model (HMM), which is trained with downlink signal strength measurements for specific areas, employing Clustering LARge Applications (CLARA) like a clustering method. Accurate results from a single probe vehicle show the potential of the method, when applied to large scale of MTs.
Date : 2025-12-23 Size : 343kb User : anna

该开发套件包含模拟AR鹦鹉无人机2.0实时Wi-Fi控制的实例。 仿真模块基于系统对车辆模型派生的识别。在Wi-Fi控制块能够发送指令得到无人驾驶飞机的实时状态。 -The development kit consists of blocks and examples for the simulation and real-time Wi-Fi control of the Parrot AR Drone 2.0. The simulation blocks are based on models of the vehicle derived via system identification. The Wi-Fi control blocks are capable of sending commands to the drone and reading the states of the drone in real-time. The examples provide a framework for the control and guidance of the vehicle. These examples enable velocity and position control, waypoint tracking, and mission execution for the AR.Drone in both simulation and Wi-Fi control.
Date : 2025-12-23 Size : 310kb User : 林真天

LFMCW体制下,解距离速度的原理及仿真(The principle and Simulation of distance and velocity under the LFMCW system)
Date : 2025-12-23 Size : 1.88mb User : 企企
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