搜索资源列表
Kalman
- 无线传感器网络定位系统中使用的，有关RSSI等测距定位方法研究方向的内容
RSSI
- 通过对RSSI测距模型进行分析， 并提出一种针对室内环境的参数修正方案。 通过 自行研发的传感器节点，上进行验证分析，实验表明，采用环境参数修正方案后， 明显提高了测距的精度。-We studied andanalyzed RSSI—based distance estimated model, and provide aparameter calibration method which in specific to indoor environmental applications．E
rssi
- 基于RSSI测距误差补偿的无线传感器网络定位算法研究-Ranging error compensation based on the RSSI of wireless sensor network localization algorithms
Untitled
- 基于非测距无线传感器网络节点定位的dv-hop算法matalab仿真-Wireless sensor networks based on non-node distance dv-hop positioning algorithm matalab Simulation
RSSIzhixin
- 基于RSSI测距的无线传感器网络改进质心定位算法-RSSI-based ranging centroid location algorithm for WSN
zhiyinsuanfa2
- 这个是基于非测距无线传感器网络定位算法的仿真-This is based on the non-distance localization algorithm in wireless sensor network simulation
lizati
- 测距技术的无线传感器网络定位算法-Ranging localization algorithm for wireless sensor networks
centriod
- 关于无线传感器网络非测距定位的质心算法实现-centroid location algorithm for wireless sensor networks
s312
- 最大似然估计法，TDOA测距时有锚节点，传感器节点的自定位-Maximum likelihood estimate for localization
Distance
- RSSI是无线传感器网络中一种基于测距的定位方法，本程序中使用对数常态模型来测距离。-RSSI is a wireless sensor network positioning method based on distance, this program is measured with a lognormal model for the distance.
RSSI
- 应用于无线传感器网络上节点的定位，节点根据接收到的功率直接测距，方法为RSSI算法-RSSI scheme ,range-based,wireless sensor networks, node localization
ranging_and_positioning
- 该文件包含所有的测距定位算法，能够适用于无线传感器网络定位以及蜂窝网的终端定位。-This file contains all of the distance positioning algorithm, can be applied to wireless sensor network localization and cellular network terminal positioning.
EKF_FOR_TRACKING
- 4个测距传感器采用EKF算法跟踪单个目标的MATLAB源程序-a program of tracking one target based EKF by using four distance detect sensors
Iot-positioning-simulation
- RSSI算法是指根据无线传感器接受到（目标物体）的信号指示强度，计算该信号在传播中的损耗，根据理论或者经验的信号传播模型将信号强度转换成距离。但是这种算法很容易受到天气，障碍物或人员流动的影响，导致测距不精确，从而定位精度不高。但是由于RSSI算法简单，成本低廉，很多无线通信模块提供RSSI值，所以RSSI算法依然应用在众多领域中。-RSSI algorithm is based on wireless sensor to receive the signal intensity (object
wurenji
- 对地面固定目标设计了一种仅依赖测距传感器的制导律，不再需要传统的视线角信号以及目标和无人机自身的定位信息，再将该制导律推广到对地面匀速和变速移动目标的跟踪制导。相比于现有制导律，本课题提出的制导律结构更为简洁，仅有一个设计参数，并且制导策略更为合理。仿真结果表明所提出的制导律能够实现无人机对地面固定目标的稳定跟踪。(A guidance law that only depends on the ranging sensor is designed for the ground fixed tar
demo_kf
- 这是一种在similink数据中只使用测距（UWB）和6轴imu传感器的融合算法(this is fusion algorithm with only ranging(UWB) and 6-axis imu sensor in similink data)