DecaWave Ultra-Wideband Warm-Up Error Correction

Abstract

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.

Transfer Learning for UWB Error Correction and (N)LOS Classification in Multiple Environments

“…This error is a direct result of the leading edge algorithm implemented on-chip failing to correctly and precisely identify the first path. This occurs due to number of factors including the received signal strength and used bandwidth (impacting the width of the first peak) [57], low SNR (< 6 dB) [58] and due to the presence of humans or other obstructions (NLOS) [59]. With ML, the goal is to identify this error (output data) using precise ground truth and the associated CIR data (input data).…”

Posture algorithm for mobile robot based on ultrawide band

“…The coordinate data of the target point ðx 0 ; y 0 Þ can be obtained by equation ( 1), given as follows In fact, the data receiving time is longer than the transmission time because of the accuracy of the hardware, multipath effects, non-line of sight errors, and other factors. 23,24 Thus the three circles will intersect in a region rather than at a point. In general, the algorithms, such as weighted least square algorithm, Fang algorithm, and Chan algorithm, can be used to estimate the results to obtain the optimal solution.…”