Sub-nanosecond accuracy of TDOA estimation using Matrix Pencil algorithms and IEEE 802.11

Gaber, Abdo; Omar, A.S.

doi:10.1109/iswcs.2012.6328447

Cited by 9 publications

(12 citation statements)

References 10 publications

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“…The authors of [77] studied the use of Matrix Pencil (MP) algorithms for TDOA estimation. The Matrix Pencil (MP) super resolution algorithm processes the data directly without forming a covariance matrix, i.e.…”

Section: Frequency Domain Physical Layer Methodsmentioning

confidence: 99%

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Survey of WiFi positioning using time-based techniques

et al. 2015

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Estimating the position of mobile devices with high accuracy in indoor environments is of interest across a wide range of applications. Many methods and technologies have been proposed to solve the problem but, to date, there is no "silver bullet". This paper surveys research conducted on indoor positioning using time-based approaches in conjunction with the IEEE 802.11 Wireless Local Area Network standard (WiFi). Location solutions using this approach are particularly attractive due to the wide deployment of WiFi and because prior mapping is not needed. This paper provides an overview of the IEEE 802.11 standards and summarizes the key research challenges in 802.11 time-based positioning. The paper categorizes and describes the many proposals published to date, evaluating their implementation complexity and positioning accuracy. Finally, the paper summarizes the state-of-the-art and makes suggestions for future research directions.

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Section: Frequency Domain Physical Layer Methodsmentioning

confidence: 99%

“…In [78], the authors investigated the use of channel sweeping and a Vector Network Analyzer (VNA) for CTF estimation rather than extraction from an OFDM symbol. In both papers [77,78], sub-nano second (sub-meter) accuracy was obtained experimentally.…”

Section: Frequency Domain Physical Layer Methodsmentioning

confidence: 99%

Survey of WiFi positioning using time-based techniques

et al. 2015

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“…A number of Wi-Fi-based indoor position sensing methods have been reported in the literature. Roughly, those methods can be classified into two categories, namely, the received signal feature-based methods, and the propagation time-based methods [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38]. The received signal strength indicator (RSSI) fingerprint is the most widely adopted feature to indicate position information in favor of its simplicity and accessibility [15,16,17,18,19,20,21,22,23,24,25].…”

Section: Introductionmentioning

confidence: 99%

“…The time of arrival (ToA) and the time difference of arrival (TDoA) methods are the commonly used propagation time-based methods [28,29,30,31,32,33,34,35,36,37,38]. The signal propagation time or propagation time difference between the mobile device and the APs is extracted from the received signals by the APs.…”

Section: Introductionmentioning

confidence: 99%

A Wi-Fi-Based Wireless Indoor Position Sensing System with Multipath Interference Mitigation

Xie

Jiang

Zhao

et al. 2019

Sensors

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Wi-Fi-based indoor position sensing solutions have the advantages of easy integration in mobile phones and low cost by using existing Wi-Fi access points. The mainstream methods are commonly based on the received signal strength indicator (RSSI), which suffers from multipath interference in complicated indoor environments. Through the in-depth analysis of the multipath interference, an RSSI-assisted time difference of arrival (TDoA) method is proposed for Wi-Fi-based indoor position sensing in this work. The key idea is to compensate for the multipath interference in the received signals based on the coarse estimation using RSSI and TDoA calculation. A prototype system has been implemented to validate the proposed method. Experimental results have demonstrated the effectiveness of the proposed method, especially for handling the multipath interference with small propagation delay difference. Experimental results show that the indoor position sensing system can achieve a 90th percentile error of 0.3 m. The proposed method can also achieve moderate computational complexity and moderate real-time performance compared to other methods.

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“…Direction-of-arrival (DOA) estimation of multiple narrowband signals is a fundamental task in many applications such as radar [2], underwater acoustics [3,4], indoor navigation [5,6], and wireless communication [7]. The uniform rectangular arrays (URAs) [8] using subspace algorithms can obtain highresolution two-dimensional (2D) DOA estimations.…”

Section: Introductionmentioning

confidence: 99%

Fast Two-Dimensional Direction-of-Arrival Estimation of Multiple Signals in Coprime Planar Array

Xu¹,

Zhang²,

Ba³

et al. 2019

Journal of Sensors

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Two-dimensional direction-of-arrival (DOA) estimation in coprime planar array involves problems that the complexity of spectral peak search is huge and the noncircular feature of signals is not considered. Considering that unitary estimating signal parameters via rotational invariance techniques (Unitary-ESPRIT) is a low complexity subspace algorithm, an approach to estimate DOA fast for multiple signals is proposed in this paper. We first apply Unitary-ESPRIT to solve one possible value of each signal. Given the relationship between the ambiguous values and real values, we then have all possible values belonging to each subarray. Through finding the common values of two subarrays, we finally obtain the highly precise true DOAs. Moreover, when the signals are noncircular, we present an improved method using noncircular Unitary-ESPRIT, which is favorable in terms of accuracy and degree of freedom. Simulation results demonstrate the effectiveness of our proposed methods.

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Sub-nanosecond accuracy of TDOA estimation using Matrix Pencil algorithms and IEEE 802.11

Cited by 9 publications

References 10 publications

Survey of WiFi positioning using time-based techniques

Survey of WiFi positioning using time-based techniques

A Wi-Fi-Based Wireless Indoor Position Sensing System with Multipath Interference Mitigation

Fast Two-Dimensional Direction-of-Arrival Estimation of Multiple Signals in Coprime Planar Array

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