Ultrasonic Time-of-Flight Estimation Through Unscented Kalman Filter

Angrisani, L.; Baccigalupi, A.; Moriello, Rosario Schiano Lo

doi:10.1109/tim.2006.877748

Cited by 56 publications

(22 citation statements)

References 8 publications

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“…A possible solution was proposed in [17] by computing the envelope of the received echo. A pair of emitter-receiver has a specific echo envelop for which discrete time modeling be given by (38).…”

Section: B Low Level Ultrasonic Measurementmentioning

confidence: 99%

State estimation based on Kalman filtering techniques in navigation

Tamás

Lazea

Robotin

et al. 2008

2008 IEEE International Conference on Automation, Quality and Testing, Robotics

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This paper tackles the problem of the position measurement and estimation techniques in the robot navigation field based on Kalman filters. It presents the problem of the position estimation based on odometric, infrared and ultrasonic measurements. Further on deals with the theoretical and practical aspects of the state estimation based on Kalman filtering techniques. From the wide range of derivatives of the Kalman filtering technique there are detailed the Extended Kalman filter and the one based on Unscented Transformation. In the second part of the paper is concluded with the results of the comparison between the different filtering algorithms and the further perspectives regarding this subject.

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Section: B Low Level Ultrasonic Measurementmentioning

confidence: 99%

State estimation based on Kalman filtering techniques in navigation

Tamás

Lazea

Robotin

et al. 2008

2008 IEEE International Conference on Automation, Quality and Testing, Robotics

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“…The use of the signals with two different frequencies enables to exclude the essential amount of measurement errors [11,12].…”

Section: Introductionmentioning

confidence: 99%

Inaccuracy of acoustic measurements in dual-frequence method of sounding

2018

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Abstract. The article describes the new method of defining time coordinate of the moment when echo-impulse comes. The principle of the method consists in consecutive sounding of the (head) well with the signals of different frequencies and analysing the received reflected signals. The article shows the graphs with dependence of measurement inaccuracy when the operating threshold of the comparator for different ratios of frequencies changes. If the comparator works out in different (in order) periods of the received signals then measurement inaccuracy will be 1-2 periods of the carrier frequency.

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“…For target trajectory tracking algorithm, current research methods include two sides: first, Kalman filtering algorithm [4] that was proposed by kalman in 1960, it is a linear, unbiased, minimum error variance criterion to the optimal estimation algorithm. Decades, Kalman filtering algorithm has been researched and applied widely, but it has application conditions.…”

Section: Introductionmentioning

confidence: 99%

Research on ADS-B target trajectory tracking

Zhang

Shao

2011

2011 International Conference on Multimedia Technology

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Interacting multiple model (IMM) algorithm is one tracking filtering algorithm for the target that has a variety of motion state models. Motion state changes and motion model switches can be represented by homogeneous Markov Chain, Target filtering results is weighted by multiple filtering model results, in order to achieve an effective target trajectory tracking. Currently, theoretics research on target trajectory tracking is focused on tracking model selecting and tracking algorithm. This paper designs one combination model of constant and turning motion to track filtering by interacting multiple model algorithm, sequentially it achieve the tracking and estimation of target trajectory. Simulation results demonstrate the effectiveness of the proposed method.

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Ultrasonic Time-of-Flight Estimation Through Unscented Kalman Filter

Cited by 56 publications

References 8 publications

State estimation based on Kalman filtering techniques in navigation

State estimation based on Kalman filtering techniques in navigation

Inaccuracy of acoustic measurements in dual-frequence method of sounding

Research on ADS-B target trajectory tracking

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