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Robot Localization using Inertial and Wi-Fi Signal Strength Sensors

机译:使用惯性和Wi-Fi信号强度传感器的机器人定位

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In this work simulation of inertial navigation system (INS) and localization using Extended Kalman filter is presented. The used sensors are described by mathematical models. To suppress error in localization also magnetometer and received signal strength index (RSSI) sensor are added to the gyroscope and accelerometer. Correction of INS orientation is done by magnetometer and accelerometer sensors while RSSI measurements from more Wifi access points at known positions are used to correct estimated position. Proposed localization approach is illustrated using simulation while the sensor calibration are performed on real measurements.
机译:在此工作模拟中,呈现了使用扩展卡尔曼滤波器的惯性导航系统(INS)和本地化。使用的传感器由数学模型描述。为了抑制定位误差,还将磁力计和接收信号强度指数(RSSI)传感器添加到陀螺仪和加速度计。 INS取向的校正由磁力计和加速度计传感器完成,而来自已知位置的更多WiFi接入点的RSSI测量用于校正估计位置。在实际测量执行传感器校准时,使用模拟来说明提出的定位方法。

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