Localization System In Gps-Denied Environments Using Radar And Imu Measurements: Application To A Smart White Cane

This paper presents the development of a localization system in GPS-denied environments using an Inertial Measurement Unit (IMU) and a Pulse-Doppler radar. A ground speed estimation from radar measurements is first proposed. This estimation is combined with noisy measurements from an IMU in a Luenberger observer, allowing accurate dead-reckoning. The methodology proposed provides short-term position of the sensors embedded in a white cane, the ultimate goal being obstacle detection through the computation of a model of the surroundings. The results show that this solution gives an error growth rate of the position estimation of 0.026m/s, which is a hundred times better than the one obtained with the naive double integration of the accelerometer data.