Analysis of signals from the DecaWave TREK1000 wideband positioning system using AKRS system

Haluza, Michal; Veselý, Jiří

doi:10.1109/miltechs.2017.7988797

Cited by 8 publications

(9 citation statements)

References 1 publication

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“…The selected hardware is the EVB1000 system from DecaWave. This system is based on ultra-wideband and complies with the IEEE802.15.4-2011 standard [24]. It supports six frequency bands with center frequencies from 3.5 GHz to 6.5 GHz and data rates of up to 6.8 Mb/s.…”

Section: Results With Real Measurement Datamentioning

confidence: 99%

Self-Calibration for the Time-of-Arrival Positioning

et al. 2020

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Self-calibration of time-of-arrival positioning systems is made difficult by the non-linearity of the relevant set of equations. This work applies dimension lifting to this problem. The objective function is extended by an additional dimension to allow the dynamics of the optimization to avoid local minima. Next to the usual numerical optimization, a partially analytical method is suggested, which makes the system of equations overdetermined proportionally to the number of measurements. Results with the lifted objective function are compared to those with the unmodified objective function. For evaluation purposes, the fractions of convergence to local minima are determined, for both synthetic data with random geometrical constellations and real measurements with a reasonable constellation of base stations. It is shown that the lifted objective function provides improved convergence in all cases, often significantly so. INDEX TERMS Dimension lifting, self-calibration, time-of-arrival (TOA).

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Section: Results With Real Measurement Datamentioning

confidence: 99%

Self-Calibration for the Time-of-Arrival Positioning

et al. 2020

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“…In this section, the previously obtained synthetic results for the UWB objective function are verified by the measurements received from the sensor data. The DecaWave transceivers were based on Ultra-Wideband (UWB) technology and complied with the IEEE802.15.4-2011 standard [19]. They supported six frequency bands, with center frequencies ranging from 3.5 GHz to 6.5 GHz and data rates of up to 6.8 Mb/s.…”

Section: Real Measurementsmentioning

confidence: 99%

Self-Calibration for the Time Difference of Arrival Positioning

Sidorenko

Schatz

Bulatov

et al. 2020

Sensors

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The time-difference-of-arrival (TDOA) self-calibration is an important topic for many applications, such as indoor navigation. One of the most common methods is to perform nonlinear optimization. Unfortunately, optimization often gets stuck in a local minimum. Here, we propose a method of dimension lifting by adding an additional variable into the l 2 norm of the objective function. Next to the usual numerical optimization, a partially-analytical method is suggested, which overdetermines the system of equations proportionally to the number of measurements. The effect of dimension lifting on the TDOA self-calibration is verified by experiments with synthetic and real measurements. In both cases, self-calibration is performed for two very common and often combined localization systems, the DecaWave Ultra-Wideband (UWB) and the Abatec Local Position Measurement (LPM) system. The results show that our approach significantly reduces the risk of becoming trapped in a local minimum.2 of 15 common and often combined systems are the DecaWave Ultra-Wideband (UWB) and the Abatec Local Position Measurement (LPM) system. The DecaWave UWB system is less affected by reflections, but is, due to regulations, limited in its transmitting power. The LPM system faces the opposite problem. However, here, the problem of self-localization becomes problematic, where neither the positions of the transmitters nor the receivers are known. This is analogous to the microphone-speaker problem, where systems of (sometimes redundant or self-contradicting) quadratic equations must be solved, sometimes resulting in zero and sometimes resulting in dozens of solutions for the minimum cases (see Chapter 10 in [2]). In the few related works outlined below, it is therefore commonplace to find overdetermined systems of equations. From a reliable solution and a suitable optimizer, these systems are developed to converge to the global minimum and thus successfully self-localize the sensors.The notations used in the text and in the equations are shown in Tables 1 and 2.

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“…One of the market leaders is DecaWave Limited [4], whereby since 2019 the UWB device is part of the new generation Apple products [5] and will spark a revolution for augmented reality, smart home, mobile payments, keyless car entry and indoor navigation [6]. The devices distributed by DecaWave are compliant with the IEEE802.15.4-2011 standard [7] and support six frequency bands with center frequencies from 3.5 GHz to 6.5 GHz with data rates of up to 6.8 Mb/s. Depending on the selected center frequency, the bandwidth ranges from 500 to 1000 MHz.…”

Section: Introductionmentioning

confidence: 99%

“…The influence of this error is reduced by waiting some time before the measurements are obtained [19] or by adapting the measurement error within the clock drift correction model [17], [20]. In practice, the accuracy obtained by the DecaWave device is about 10 cm for line-of-sight (LOS) applications [7]. In this article, we present a self-calibration method to obtain a correction curve for two-way-ranging (TWR) and show how it is possible to obtain an accuracy better than 1 cm.…”

Section: Introductionmentioning

confidence: 99%

DecaWave Ultra-Wideband Warm-Up Error Correction

Sidorenko

Schatz

Scherer‐Negenborn

et al. 2021

IEEE Trans. Aerosp. Electron. Syst.

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In the field of indoor localization, ultra-wideband (UWB) technology is no longer dispensable. The market demands that the UWB hardware has to be cheap, precise and accurate. These requirements lead to the popularity of the DecaWave UWB system. The great majority of the publications about this system deals with the correction of the signal power, hardware delay or clock drift. It has traditionally been assumed that this error only appears at the beginning of the operation and is caused by the warm-up process of the crystal. In this article, we show that the warm-up error is influenced by the same error source as the signal power. To our knowledge, no scientific publication has explicitly examined the warm-up error before. This work aims to close this gap and, moreover, to present a solution which does not require any external measuring equipment and only has to be carried out once. It is shown that the empirically obtained warm-up correction curve increases the accuracy for the twoway-ranging (TWR) significantly.

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Analysis of signals from the DecaWave TREK1000 wideband positioning system using AKRS system

Cited by 8 publications

References 1 publication

Self-Calibration for the Time-of-Arrival Positioning

Self-Calibration for the Time-of-Arrival Positioning

Self-Calibration for the Time Difference of Arrival Positioning

DecaWave Ultra-Wideband Warm-Up Error Correction

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