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Foot-Mounted Pedestrian Navigation Algorithm Based on BOR/MINS Integrated Framework

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The traditional pedestrian navigation system that uses zero velocity update algorithm cannot calculate traveled distance accurately or observe the heading error. A new model called body odometer (BOR) that consists… Click to show full abstract

The traditional pedestrian navigation system that uses zero velocity update algorithm cannot calculate traveled distance accurately or observe the heading error. A new model called body odometer (BOR) that consists of a step length model and a correction factor is proposed to obtain precise single step length for dead reckoning. A BOR/MINS integrated framework uses the difference between micro electro mechanical inertial navigation system (MINS) calculated distance and single step length, as a new observation to estimate the correction factor and compensate navigation errors via a Kalman filter. To eliminate the heading error accumulation, a new gyro drift reduction method that combines heuristic drift reduction method and complementary filter is presented. The 200 m straight line experiments show that the calculated distance by BOR/MINS integrated method is much closer to the real distance with the average error percentage of 0.24%. Three differently designed trajectories’ experiments show that the proposed method has a higher match degree with the real trajectories and the positioning error with respect to the total traveled distance is less than 0.6%.

Keywords: bor mins; distance; pedestrian navigation; bor; navigation; mins integrated

Journal Title: IEEE Transactions on Industrial Electronics
Year Published: 2020

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