Design of Indoor Navigation Scheme Based on Bluetooth Low Energy

Navigation based on mobile devices has developed rapidly in recent years, but GPS positioning technology cannot work effectively in indoor environments, so a variety of indoor wireless positioning technologies have emerged. Due to the low power consumption, convenience and cheapness of Bluetooth Low Energy (BLE) devices, Bluetooth wireless positioning has become one of the most commonly used solutions in current indoor positioning technology. In order to solve the problem of strong fluctuation of Bluetooth signal and large positioning error in the indoor navigation process, this paper uses Kalman filter to weaken the influence of random disturbance on the real Bluetooth signal, uses maximum likelihood to estimate the position coordinates of the locator, and makes full use of multiple beacon nodes to improve positioning accuracy. In order to verify the feasibility of the indoor navigation algorithm, an indoor navigation system is designed and deployed in the field. The experimental results show that the Root Mean Square Error (RMSE) of the method proposed in this paper is 2.336 m, and the RMSE in the X and Y directions is less than 3 m, which can meet the indoor positioning and navigation needs of ordinary users.