Energy-Based TOA Estimation

D’Amico, Antonio A.; Mengali, U.; Taponecco, Lucio

doi:10.1109/twc.2008.060545

Cited by 49 publications

(26 citation statements)

References 19 publications

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“…It is shown that only one iteration is needed to achieve the lower bound at high SNRs. The reason is that the improvement in MSE depends on the reliability of data detection results as derived in (22). At extremely low SNRs, the SER of iterative estimator is significantly high such that the data-aided method can be deteriorated by the large portion of data decision errors.…”

Section: Performance Of the Joint Iterative Estimatormentioning

confidence: 99%

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Direct path detection using multipath interference cancelation for communication-based positioning system

Yang

Wang

Park

et al. 2012

EURASIP J. Adv. Signal Process.

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Recent development in wireless communication-based positioning technology brings significant challenge of detecting the weak signal component arriving from the direct propagation path for time-of-arrival (TOA)-based approach. Due to the common obstruction of the direct propagation path in dense multipath environments, identification of the weak direct path in these environments can be very difficult via the classical correlation-based estimator in the presence of interference from significant later arriving multipath components. A new direct path detection scheme using the multipath interference cancelation is presented in this article. For data communication purpose, an iterative estimator with improved accuracy for joint channel and data estimation is first developed; based on which, the interference of multipath components are reconstructed and subtracted from the original received signal. With the aid of the detected data, an enhanced preamble is formulated. The accuracy of direct path detection is substantially improved by using the correlation between the multipath interference-suppressed signal and the enhanced preamble. Semi-analytical expression of the performance of the iterative estimator is derived. The analysis enables the system to determine an automatic stopping criterion to reduce the computational complexity of the iterative process. The performance of the direct path detection is also analyzed in terms of the signal-to-interference-noise ratio (SINR) and compared with that of the conventional approach. Computer simulation results show the superiority of the proposed direct path detection. The accuracy of the positioning system using the proposed method is also evaluated in dense multipath environments.

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Section: Performance Of the Joint Iterative Estimatormentioning

confidence: 99%

“…For real applications with complexity constraints, several simple techniques have been proposed to detect the first path. Energy detection-based method was proposed in [20][21][22][23]. However, the energy detector can perform poorly when the strength of the first path is not the strongest one.…”

Section: Introductionmentioning

confidence: 99%

Direct path detection using multipath interference cancelation for communication-based positioning system

Yang

Wang

Park

et al. 2012

EURASIP J. Adv. Signal Process.

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“…3, τ h exceeds τ by some quantity ∆, i.e., τ h = τ + ∆. In the second step (leading-path search) we start from the highest peak already found and, as in [5], we jump back by T back seconds to an instant prior to the beginning of the q(t)-pulse. Then, we perform a forward search looking for the first appearance of the q(t)-pulse energy.…”

Section: Time Domain Toa Estimationmentioning

confidence: 99%

TOA Estimation in UWB: Comparison between Time and Frequency Domain Processing

Lagunas

Taponecco

Nájar

et al. 2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract.A comparison between time and frequency domain TOA estimators compliant with the 802.15.4a Standard has been made. The time domain estimator is done in two stages. One has the goal of identify the first pulse in each symbol interval and the other aims to acquire the start of frame delimiter. The frequency domain estimator is also based in two stages. A simple coarse estimation stage provides the symbol synchronization required by the fine estimation stage which finds the first delay of the first arriving path in a power delay profile developed in the frequency domain by using high resolution spectral estimation techniques. An accuracy of few centimeters is asymptotically achieved by both estimators. While time domain estimator shows slightly more accurate results at high values of SNR, frequency domain estimators works slightly better at low SNR.

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“…Many TOA estimators have been proposed in the literature, especially for impulse radio UWB (IR-UWB) signals. Most proposed estimators like the maximum likelihood estimator (MLE), the energy-based estimators, the autocorrelation-based estimators, the threshold-based estimators, and others are based on the time domain [2][3][4][5][6][7][8][9][10]. The drawback of time-domain estimators is that their precision is limited by the sampling frequency being used, and complex interpolation is required in order to improve the performance.…”

Section: Introductionmentioning

confidence: 99%

Discrete fourier transform-based TOA estimation in UWB systems

Mallat

Louveaux

Vandendorpe

et al. 2012

J Wireless Com Network

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In this paper, we propose two time of arrival estimators for ultra wideband signals based on the phase difference between the discrete Fourier transforms (DFT) of the transmitted and received signals. The first estimator is based on the slope of the unwrapped phase and the second one on the absolute unwrapped phase. We derive the statistics of the unwrapped phase. We show that slope-based estimation almost achieves asymptotically the baseband Cramer-Rao lower bound (CRLB), while the absolute-phase-based estimator achieves asymptotically the passband CRLB. We compare the proposed estimators to the time-domain maximum likelihood estimator (MLE). We show that the MLE achieves the CRLB faster than the DFT-based estimator, while the DFT-based estimator outperforms the MLE for low signal to noise ratios. We describe also how to use the proposed estimators in multipath UWB channels.

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Energy-Based TOA Estimation

Cited by 49 publications

References 19 publications

Direct path detection using multipath interference cancelation for communication-based positioning system

Direct path detection using multipath interference cancelation for communication-based positioning system

TOA Estimation in UWB: Comparison between Time and Frequency Domain Processing

Discrete fourier transform-based TOA estimation in UWB systems

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