Channel estimation for ultra-wideband communications

Lottici, Vincenzo; D’Andrea, A.N.; Mengali, U.

doi:10.1109/jsac.2002.805053

Cited by 399 publications

(251 citation statements)

References 11 publications

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“…In [3,4], pulses with sub-nanosecond duration are transmitted and then measured with a digital sampling scope with full sampling rate as the receiver. Based on the recovered received signal, time-domain TOA estimation algorithms, which are typically maximum likelihood (ML)-based approaches [5][6][7], are applied by identifying the FP from the sampled signal. Besides, [8][9][10][11][12][13] get the received pulses by setting up a frequency domain measurement system using a vector network analyzer (VNA) to record the frequency response of the channel.…”

Section: Introductionmentioning

confidence: 99%

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: Introductionmentioning

confidence: 99%

UWB pulse detection and TOA estimation using GLRT

Xie

Janssen

Shakeri

et al. 2017

EURASIP J. Adv. Signal Process.

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“…Parameter estimation problem for moving objects bears some resemblance to channel estimation problem as well [19]- [22], since information on movement parameters can be obtained by observing the time variation of the signal delays corresponding to reflections from the object. However, in the movement estimation problem, the main parameters to be estimated are related to the time varying multipath components only, and the other channel parameters such as the channel coefficients and delays (corresponding to other multipath components) are all considered as nuisance parameters.…”

Section: Introductionmentioning

confidence: 99%

“…However, in the movement estimation problem, the main parameters to be estimated are related to the time varying multipath components only, and the other channel parameters such as the channel coefficients and delays (corresponding to other multipath components) are all considered as nuisance parameters. On the other hand, the channel estimation problem [19], [20], [22] considers channel coefficients and delays as the main parameters to be estimated. In addition, the observation interval in a movement estimation problem is considerably larger than that in a channel estimation problem.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Limits for Estimation of Periodic Movements in Pulse-Based UWB Systems

Gezici

2007

IEEE J. Sel. Top. Signal Process.

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Abstract-In this paper, Cramer-Rao lower bounds (CRLBs) for estimation of signal parameters related to periodically moving objects in pulse-based ultra-wideband (UWB) systems are presented. The results also apply to estimation of vital parameters, such as respiration rate, using UWB signals. In addition to obtaining the CRLBs, suboptimal estimation algorithms are also presented. First, a single-path channel with additive white Gaussian noise is considered, and closed-form CRLB expressions are obtained for sinusoidal object movements. Also, a two-step suboptimal algorithm is proposed, which is based on time delay estimation via matched filtering followed by least-squares estimation, and its asymptotic optimality property is shown in the limit of certain system parameters. Then, a multipath environment is considered, and exact and approximate CRLB expressions are derived. Moreover, suboptimal schemes for parameter estimation are studied. Simulation studies are performed for the estimation of respiration rates in order to evaluate the lower bounds and performance of the suboptimal algorithms for realistic system parameters.Index Terms-Cramer-Rao lower bound (CRLB), estimation theory, impulse radio (IR), least-squares (LS) estimation, matched filtering, ultra-wideband (UWB).

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“…However, significant efforts are currently being placed on addressing the acquisition problem under a more rigorous approach. To this end, the maximum likelihood formulation has already been proposed, for instance, in some valuable contributions such as the ones in [13] and [14].…”

Section: Introductionmentioning

confidence: 99%

Waveform-Independent Frame-Timing Acquisition for UWB Signals

López-Salcedo

Vazquez

2007

IEEE Trans. Signal Process.

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Abstract-In this paper, the problem of frame-level symbol timing acquisition for UWB signals is addressed. The main goal is the derivation of a frame-level timing estimator which does not require any prior knowledge of neither the transmitted symbols nor the received template waveform. The independence with respect to the received waveform is of special interest in UWB communication systems, where a fast and accurate estimation of the end-to-end channel response is a challenging and computationally demanding task. The proposed estimator is derived under the unconditional maximum likelihood criterion, and because of the low power of UWB signals, the low-SNR assumption is adopted. As a result, an optimal frame-level timing estimator is derived which outperforms existing acquisition methods in low-SNR scenarios.

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Channel estimation for ultra-wideband communications

Cited by 399 publications

References 11 publications

UWB pulse detection and TOA estimation using GLRT

UWB pulse detection and TOA estimation using GLRT

Theoretical Limits for Estimation of Periodic Movements in Pulse-Based UWB Systems

Waveform-Independent Frame-Timing Acquisition for UWB Signals

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