Iterative Threshold Selection for TOA Estimation of IR-UWB System

Wang, Xiang; Yin, Bo; Lu, Ying; Xu, Bin; Du, Pei; Xiao, Limin

doi:10.1109/greencom-ithings-cpscom.2013.324

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Furthermore, in NLOS conditions, the FP is sometimes even below the noise level, making detection with traditional thresholds difficult. A variety of modified methods are proposed to calculate the threshold, but many of them are complex [21], [22], requiring prior knowledge or costly computations. In addition, the ED receiver has its own issues that impact the ranging performance such as signal waveform, pulse width, integration interval and noise floor.…”

Section: Introductionmentioning

confidence: 99%

Double sliding window variance detection-based time-of-arrival estimation in ultra-wideband ranging systems

Nouali

Slimane

Abdelmalek

2022

IJECE

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<span lang="EN-US">Ultra-wideband (UWB) ranging via time-of-arrival (TOA) estimation method has gained a lot of research interests because it can take full advantage of UWB capabilities. Energy detection (ED) based TOA estimation technique is widely used in the area due to its low cost, low complexity and ease of implementation. However, many factors affect the ranging performance of the ED-based methods, especially, non-line-of-sight (NLOS) condition and the integration interval. In this context, a new TOA estimation method is developed in this paper. Firstly, the received signal is denoised using a five-level wavelet decomposition, next, a double sliding window algorithm is applied to detect the change in the variance information of the received signal, the first path (FP) TOA is then calculated according to the first variance sharp increase. The simulation results using the CM1 and CM2 IEEE 802.15.4a channel models, prove that our proposed approach works effectively compared with the conventional ED-based methods.</span>

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Section: Introductionmentioning

confidence: 99%

Double sliding window variance detection-based time-of-arrival estimation in ultra-wideband ranging systems

Nouali

Slimane

Abdelmalek

2022

IJECE

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“…However, in NLOS conditions, there is a delay between the FP and the strongest path (SP), and sometimes the FP is even lower than the noise, so it is hard to detect the FP with conventional threshold-crossing. A number of modified algorithms are proposed to determine the threshold, but many of them are parametric and complex [ 26 , 27 ], which requires prior information or complicated calculations, and the estimation results are still far from optimal. Therefore, a method of which the threshold is not so strictly required and the accuracy is acceptable is worth consideration.…”

Section: Introductionmentioning

confidence: 99%

Entropy-Based TOA Estimation and SVM-Based Ranging Error Mitigation in UWB Ranging Systems

Yin

Cui

et al. 2015

Sensors

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The major challenges for Ultra-wide Band (UWB) indoor ranging systems are the dense multipath and non-line-of-sight (NLOS) problems of the indoor environment. To precisely estimate the time of arrival (TOA) of the first path (FP) in such a poor environment, a novel approach of entropy-based TOA estimation and support vector machine (SVM) regression-based ranging error mitigation is proposed in this paper. The proposed method can estimate the TOA precisely by measuring the randomness of the received signals and mitigate the ranging error without the recognition of the channel conditions. The entropy is used to measure the randomness of the received signals and the FP can be determined by the decision of the sample which is followed by a great entropy decrease. The SVM regression is employed to perform the ranging-error mitigation by the modeling of the regressor between the characteristics of received signals and the ranging error. The presented numerical simulation results show that the proposed approach achieves significant performance improvements in the CM1 to CM4 channels of the IEEE 802.15.4a standard, as compared to conventional approaches.

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Iterative Threshold Selection for TOA Estimation of IR-UWB System

Cited by 2 publications

References 10 publications

Double sliding window variance detection-based time-of-arrival estimation in ultra-wideband ranging systems

Double sliding window variance detection-based time-of-arrival estimation in ultra-wideband ranging systems

Entropy-Based TOA Estimation and SVM-Based Ranging Error Mitigation in UWB Ranging Systems

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