Relative azimuth estimation algorithm using rotational displacement
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초록
Recently, indoor localization systems based on wireless sensor networks have received a great dealof attention because they help achieve high accuracy in position determination by using various algorithms. Inorder to minimize the error in the estimated azimuth that can occur owing to sensor drift and recursive calculationin these algorithms, we propose a novel relative azimuth estimation algorithm. The advantages of theproposed technique in an indoor environment are that an improved weight average filter is used to effectivelyreduce impulse noise from the raw data acquired from nodes with inherent errors and a rotational displacementalgorithm is applied to obtain a precise relative azimuth without using additional sensors, which can beaffected by electromagnetic noise. Results from simulations show that the proposed filter reduces the impulsenoise, and the acquired estimation error does not accumulate with time by using proposed algorithm.
Abstract
Recently, indoor localization systems based on wireless sensor networks have received a great dealof attention because they help achieve high accuracy in position determination by using various algorithms. Inorder to minimize the error in the estimated azimuth that can occur owing to sensor drift and recursive calculationin these algorithms, we propose a novel relative azimuth estimation algorithm. The advantages of theproposed technique in an indoor environment are that an improved weight average filter is used to effectivelyreduce impulse noise from the raw data acquired from nodes with inherent errors and a rotational displacementalgorithm is applied to obtain a precise relative azimuth without using additional sensors, which can beaffected by electromagnetic noise. Results from simulations show that the proposed filter reduces the impulsenoise, and the acquired estimation error does not accumulate with time by using proposed algorithm.
참고문헌 (16)
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