Threshold selection for UWB TOA estimation based on kurtosis analysis

Güvenç, İsmail; Şahinoğlu, Zafer

doi:10.1109/lcomm.2005.1576576

Cited by 117 publications

(116 citation statements)

References 2 publications

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“…Specifically, Fig. 5 indicates that the interval between the start of the measurement and the arrival time of the pulse t r has a significant influence on P EFA , P D , and P MD besides of the obvious impact of V N /σ B and FPNR as discussed in [1] and [2]. Figure 5a and (22) show that V N /σ B and t r are factors which would influence P EFA .…”

Section: Pdf Of a Single Toa Measurementmentioning

confidence: 93%

“…In recent years, much attention has been given to ultra-wideband (UWB) signals for indoor positioning. UWB signals, e.g., sub-nanosecond duration pulse signals, enable precise ranging because they allow for separation of multipath components and accurate estimation of the time-of-arrival (TOA) of the first arriving path (FP) signal [1,2]. With this feature of UWB signals, centimeter-level ranging accuracy can be achieved, even in dense multipath environments [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…In [1], an approach is given on the kurtosis of the signal samples for threshold selection by applying an energy detector to capture both the statistics of the channel and the SNR of the received signal. However, this TOA estimation method is based on full Nyquist sampling of the received signal and TOA estimation accuracy is at meter level.…”

Section: Introductionmentioning

confidence: 99%

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UWB pulse detection and TOA estimation using GLRT

Xie

Janssen

Shakeri

et al. 2017

EURASIP J. Adv. Signal Process.

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In this paper, a novel statistical approach is presented for time-of-arrival (TOA) estimation based on first path (FP) pulse detection using a sub-Nyquist sampling ultra-wide band (UWB) receiver. The TOA measurement accuracy, which cannot be improved by averaging of the received signal, can be enhanced by the statistical processing of a number of TOA measurements. The TOA statistics are modeled and analyzed for a UWB receiver using threshold crossing detection of a pulse signal with noise. The detection and estimation scheme based on the Generalized Likelihood Ratio Test (GLRT) detector, which captures the full statistical information of the measurement data, is shown to achieve accurate TOA estimation and allows for a trade-off between the threshold level, the noise level, the amplitude and the arrival time of the first path pulse, and the accuracy of the obtained final TOA.

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Section: Pdf Of a Single Toa Measurementmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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UWB pulse detection and TOA estimation using GLRT

Xie

Janssen

Shakeri

et al. 2017

EURASIP J. Adv. Signal Process.

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“…The selection of the threshold is always a critical factor in all TOA estimation techniques based on threshold decisions. There are some proposals for the estimation of threshold values for specific channels [10], [11]. However, most of the proposals require some calibration and heuristic adjustment of some of the parameters that define the threshold level.…”

Section: Toa-based Position Estimation For Ir-uwbmentioning

confidence: 99%

Multi-TOA based position estimation for IR-UWB

Floriach

Nájar

Navarro

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-The problem of localizing an IR-UWB transmitter from the signals received at several anchors is considered. The positioning problem is typically solved in a two-step approach where in the first step the Time of Arrival (TOA) is estimated independently at each anchor, and the position estimate is found in a second step. However, this approach can be improved, especially in challenging scenarios, if the positioning problem is treat as a whole, that is, the target position is estimated directly from the signals received on each anchor (Direct Position estimation DPE). In this paper, we present a different approach that sits halfway between these two approaches. The algorithm is based on a soft two-steps approach, where several possible TOA estimators are selected in the first step, and then the best estimators are used to find the position. The performance of the method is assessed under the framework of the IEEE 802.15.4a channel models.

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“…Under the assumption of known undistorted received pulses, optimal correlation-based TOA estimators [20] and a simplified version of the generalized ML criterion [13] are known. Also, energy based TOA estimation schemes have received considerable attention as a viable alternative to correlation-based methods [21,22] due to their reduced complexity implementation at sub-Nyquist sampling rates. Indeed, they do not require expensive pulse-shape estimation algorithms and represent a good solution for low power and low-complexity systems at the expense of ranging accuracy.…”

mentioning

confidence: 99%

A Low Complexity and Effective Rapid Channel Tracking Scheme for UWB Multiple-Access Systems

Hung

Cheng

2013

Wireless Pers Commun

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In this paper, the applicability of the subspace-based blind adaptive algorithm in multiple access ultra-wideband systems is investigated. However, in the multiuser transmission environment, multiple access interference becomes a serious issue and results in the degradation of system performance. In order to overcome this shortcoming, we propose a novel and low complexity decision mechanism, termed the decision timing instant (DTI). A major advantage of the DTI algorithm is that it admits an adaptive implementation with low computational complexity instead of singular value decomposition. In the present paper, we exploit the joint blind multiuser detection in UWB systems, a combined scheme is proposed, which couples the minimum-mean-square-error and the DTI subspace tracking algorithm under UWB time-variant channels. Simulation results show that DTI is able to fast and precisely trace the variation of the channel environment and to improve the performance of the blind adaptive multiuser detection with a subspace approach over time-varying channels.

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Threshold selection for UWB TOA estimation based on kurtosis analysis

Cited by 117 publications

References 2 publications

UWB pulse detection and TOA estimation using GLRT

UWB pulse detection and TOA estimation using GLRT

Multi-TOA based position estimation for IR-UWB

A Low Complexity and Effective Rapid Channel Tracking Scheme for UWB Multiple-Access Systems

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