Efficient Time of Arrival Estimation Algorithm Achieving Maximum Likelihood Performance in Dense Multipath

Bialer, Oded; Raphaeli, D.; Weiss, A.J.

doi:10.1109/tsp.2011.2174055

Cited by 44 publications

(19 citation statements)

References 28 publications

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“…The multistatic SAR has a similar problem, which may affect the BRS estimation accuracy. In [15,16], TOA estimation algorithms are proposed to improve the estimation accuracy. As another main influence factor, time synchronization is also a big challenge for the application of the multistatic radar system, as well as multistatic SAR.…”

Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy Minimization

Zhong

et al. 2017

Remote Sensing

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Abstract:In traditional localization methods for synthetic aperture radar (SAR), the range sum estimation and Doppler centroid estimation (DCE) are required. The DCE error can influence the localization accuracy greatly. In addition, the target height information cannot be obtained by these methods. In this paper, a three-dimensional localization method for multistatic SAR based on the numerical range-Doppler (RD) algorithm and entropy minimization principle is proposed. In this method, the raw data from each transmitter and receiver (T/R) pair are focused by the numerical RD algorithm with the initial location value of the reference target. Then, Newton iteration is used to solve the target location value with the information of the bistatic range sum (BRS) in different SAR images with respect to different T/R pairs. Generally, the initial location value of the reference target is not accurate, and it can influence the imaging quality and accuracy of other target locations. We use entropy to measure image quality and iterate imaging with the new location value of the reference target, until the entropy gets the minimum value. Therefore, we can get the optimal location value of the reference target, which can make image entropy reach the minimum. Finally, all targets can be located by the Newton iteration method with their BRS in each T/R pair that are obtained from the images with minimum entropy. Compared with traditional localization methods for monostatic SAR, the proposed method not only effectively eliminates the influences of DCE errors, but also can get the target height information. Therefore, it improves the localization accuracy and can achieve three-dimensional localization. The effectiveness of the localization approach is validated by a numerical simulation experiment.

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Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy Minimization

Zhong

et al. 2017

Remote Sensing

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“…However, the successive cancelation is imperfect and, therefore, the error cannot decrease below a certain limit, even as the SNR increases. Other TOA estimation methods that approximate the ML have been developed, but they are not applicable to OFDM signals [6]. A different approach is the "frequency-domain super-resolution TOA estimation", which includes multiple signal classification (MUSIC) [7], and estimation of signal parameters via rotational invariance techniques (ESPRIT) [8].…”

Section: Introductionmentioning

confidence: 99%

Robust time-of-arrival estimation in multipath channels with OFDM signals

Bialer

Raphaeli

Weiss

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-Time-of-arrival (TOA) estimation of OFDM signals in multipath channels is challenging, especially when the signal bandwidth is limited, such as is the case of WIFI. In this paper, a novel low complexity TOA estimation algorithm is developed for OFDM signals that is robust to various multipath environments. We approximate the received signal as Gaussian with a proposed autocorrelation model, and then derive the Maximum Likelihood estimator with an efficient implementation algorithm. The estimator performance was tested with off-theshelf WIFI 802.11g routers. The results show that the proposed TOA estimator outperforms other known reference methods over various indoor environments.

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“…Depending on the algorithm, distance measurements are based on different signal parameters being the delay or Time of Arrival (TOA) the most suitable for UWB systems as it takes advantage of the high time resolution of UWB signals [1], This work has been supported by the Spanish Ministry of Economy and Competitiveness (Ministerio de Economía y Competitividad) through project TEC2016-77148-C2-1-R (RUNNER), and from the Catalan Government (AGAUR) through grant 2014 SGR 60. [3], [4]. However, as proved in [5], the two-step procedures are suboptimal because in the first stage, the measurements at distinct anchors are independent and ignore the constraint that all measurements must be consistent with a single emitter.…”

Section: Introductionmentioning

confidence: 99%

“…However, the single-path model is not appropriate for UWB channels as it presents many multipath components. The Maximum-likelihood (ML) for dense multipath channels is known [4], however, it is too complex for practical implementation. That is why many proposals aim for a simplified multipath model.…”

Section: Introductionmentioning

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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Efficient Time of Arrival Estimation Algorithm Achieving Maximum Likelihood Performance in Dense Multipath

Cited by 44 publications

References 28 publications

A Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy Minimization

A Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy Minimization

Robust time-of-arrival estimation in multipath channels with OFDM signals

Multi-TOA based position estimation for IR-UWB

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