Hybrid Data Fusion techniques for localization in UWB networks

Laaraiedh, Mohamed; Avrillon, Stéphane; Uguen, Bernard

doi:10.1109/wpnc.2009.4907803

Cited by 23 publications

(14 citation statements)

References 14 publications

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“…One approach to overcome this is the signal attenuation difference of arrival (SADOA) method [16], based on differences in RSS (in dBm) between pairs of anchor nodes, denoted by i and j. The difference is given by 10 …”

Section: B Sadoa Methodsmentioning

confidence: 99%

“…There have been a number of publications on hybrid RSS and time-or-arrival (TOA) techniques. [10,11] first converting RSS to range using a propagation model, then apply a multilateration technique to compute location. By contrast [12,13] first estimate range by fusing RSS and TOA measurements, then localize the target using the fused range values.…”

Section: Introductionmentioning

confidence: 99%

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Wireless sensor network using hybrid TDOA/RSS tracking of uncooperative targets

Hedley

Zhai²

2014

2014 International Symposium on Wireless Personal Multimedia Communications (WPMC)

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Accurate tracking of uncooperative wireless target devices, particularly WiFi devices, is valuable for many commercial, industrial and security applications. Tracking based on received signal strength is widely used, but has limited accuracy. The use of time-of-arrival (TOA) measurements can improve accuracy, but as most target devices cannot accurately measure TOA the device is not able to cooperate and timedifference-of-arrival (TDOA) techniques are required. In this paper we present a sensor network for tracking target devices based on both received signal strength and TDOA. A new hybrid algorithm combining both types of measurements based on a particle filter is presented, and shown to perform better than either technique alone. The use of difference of RSS measurements is also shown to give better tracking performance than RSS as errors in the assumed transmit power from the target do not affect the results.

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Section: B Sadoa Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wireless sensor network using hybrid TDOA/RSS tracking of uncooperative targets

Hedley

Zhai²

2014

2014 International Symposium on Wireless Personal Multimedia Communications (WPMC)

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“…The hybrid position estimator should thus fuse heterogeneous observations of very different accuracies. However, as reported in [1], this fusion is non-trivial for some hybrid positioning algorithm. Indeed, the introduction of additional, but less informative, power observations when a few accurate range observations are already available, may in fact lower the positioning accuracy.…”

Section: Introductionmentioning

confidence: 94%

A Hybrid Positioning Method Based on Hypothesis Testing

Amiot

Pedersen

Laaraiedh

et al. 2012

IEEE Wireless Commun. Lett.

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Abstract-We consider positioning in the scenario where only two reliable range estimates, and few less reliable power observations are available. Such situations are difficult to handle with numerical maximum likelihood methods which require a very accurate initialization to avoid being stuck into local maxima. We propose to first estimate the support region of the two peaks of the likelihood function using a set membership method, and then decide between the two regions using a rule based on the less reliable observations. Monte Carlo simulations show that the performance of the proposed method in terms of outlier rate and root mean squared error approaches that of maximum likelihood when only few additional power observations are available.

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“…Although there are prior work [8]- [10] on combining RSS with range measurements, RSS is commonly used to estimate the range based on path loss model in these work. However, in our proposed method we leverage the RSS variation due to the presence of the target.…”

Section: Introductionmentioning

confidence: 99%

Improving target tracking by incorporating shadowing fading

Wang

Gao

Liu

et al. 2015

2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

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To accurately localize the target, wireless positioning systems use range measurements from different anchors, which are deployed around the monitored region in advance. In most applications where the target such as a human body has a certain volume, the target will shadow the wireless links comprised of the anchors, making the received signal strength (RSS) of these links suffer great loss. Therefore, in this paper, we propose a hybrid approach which integrates shadowing fading and range measurements of the links to enhance the performance of target tracking. Due to the nonlinearity of the shadowing loss model and the range model, particle filtering (PF) maximizing the posterior distribution of the target state is employed to fusion the two kinds of measurements. Moreover, the posterior Cramer-Rao lower bound (PCRLB) is derived to explore the best possible performance of the hybrid approach. Simulation results show that the tracking performance is significantly improved when the shadowing fading is exploited.

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Hybrid Data Fusion techniques for localization in UWB networks

Cited by 23 publications

References 14 publications

Wireless sensor network using hybrid TDOA/RSS tracking of uncooperative targets

Wireless sensor network using hybrid TDOA/RSS tracking of uncooperative targets

A Hybrid Positioning Method Based on Hypothesis Testing

Improving target tracking by incorporating shadowing fading

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