Abstract:This paper addresses the problem of adaptive noise cancellation in a multi-channel system. The proposed canceller is a recursive system, based on the Least Mean Squares filter (LMS). This method is analyzed by simulations and experimental results are given. Specifically, it is shown that this technique can improve the accuracy of ultrasound ranging and positioning systems using multichannel receivers.
“…The measurement range limitation in a signal cycle (2π), characteristic of the phase difference technique, was overcome, since the initialization of the value for ToF is done with the described technique to increase the difference between the signal amplitude peaks. The initial time of flight estimate value is advanced by approximately 1 4 of the receiver signal cycle, with the Kalman filter being responsible for obtaining the phase matching between the estimated and receiver signal, from which the ToF is obtained.…”
Section: Tof Estimationmentioning
confidence: 99%
“…Measuring techniques based on ultrasonic transducers turned out to be an effective tool for industrial applications and in technical or scientific laboratories, establishing non-invasive measurement processes. Using these techniques, among the possible estimated variables are the measurement of level, distance, volume and fluid velocity [1,2]. Specifically, measurement of fluid velocity using ultrasonic transducers can be done based on the principles of Doppler or time difference methods.…”
Section: Introductionmentioning
confidence: 99%
“…The time difference based on time of flight estimation can be implemented by conventional techniques such as threshold and phase difference detection or by the use of signal processing techniques such as cross-correlation, phase difference in the frequency domain (DFT, Discrete Fourier Transform), Wavelet transform and Kalman filter [1,[7][8][9][10][11][12][13][14][15].…”
“…The measurement range limitation in a signal cycle (2π), characteristic of the phase difference technique, was overcome, since the initialization of the value for ToF is done with the described technique to increase the difference between the signal amplitude peaks. The initial time of flight estimate value is advanced by approximately 1 4 of the receiver signal cycle, with the Kalman filter being responsible for obtaining the phase matching between the estimated and receiver signal, from which the ToF is obtained.…”
Section: Tof Estimationmentioning
confidence: 99%
“…Measuring techniques based on ultrasonic transducers turned out to be an effective tool for industrial applications and in technical or scientific laboratories, establishing non-invasive measurement processes. Using these techniques, among the possible estimated variables are the measurement of level, distance, volume and fluid velocity [1,2]. Specifically, measurement of fluid velocity using ultrasonic transducers can be done based on the principles of Doppler or time difference methods.…”
Section: Introductionmentioning
confidence: 99%
“…The time difference based on time of flight estimation can be implemented by conventional techniques such as threshold and phase difference detection or by the use of signal processing techniques such as cross-correlation, phase difference in the frequency domain (DFT, Discrete Fourier Transform), Wavelet transform and Kalman filter [1,[7][8][9][10][11][12][13][14][15].…”
“…Measurement with ultrasonic waves can achieve millimeter accuracy with a range of 6m. Unfortunately, undesirable phenomena can affect ultrasonic waves such as crosstalk, echo, and jamming (Medina, C. et al, 2013, De Angelis, G. et al, 2015 Large bandwidth signals allow transmission of short duration high energy pulses. Since it is possible to sense pulses as high as 20 times in a second, TOF and time of arrival positioning techniques can be applied.…”
Global Navigation Satellite System is widely accepted and it has good positioning accuracy for outdoor applications. However, it does not provide sufficient positioning accuracy for inside of buildings. Signals are attenuated inside of buildings or dense high building areas because various materials between satellites and receiver create interference to the signal propagation. Thus, indoor positioning technologies have emerged to cover the problem. In this paper, indoor positioning technologies have been investigated and UWB based indoor positioning technology has been chosen between them. In addition to indoor positioning, accelerometer and Wi-Fi connection has been added to the system for mobility. The accelerometer detects emergency cases and alerts relatives of an intended person by using web service. Hereby, remote navigation system design is presented for first aid of the user. The system can detect emergencies, especially falls using the accelerometer and it can locate patients anywhere in the world. The designed system showed that it is possible to detect emergencies and transfer to the web with a 24.17cm average positioning error. Also, it is an assuring system for future remote positioning applications.
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