An Improved Time-of-Arrival Estimation for WLAN-Based Local Positioning

Reddy, Harish; Chandra, M. Girish; Balamuralidhar, P.; Harihara, S.G.; Bhattacharya, Kaushik; Joseph, Edward D.

doi:10.1109/comswa.2007.382578

Cited by 21 publications

(8 citation statements)

References 11 publications

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“…Using this method, a resolution of 40 ns (approximately 12 m) in the TOA timestamps was obtained in simulation. Reddy et al [63,64] also proposed a two-stage algorithm. The received signal was correlated with a reference signal stored in the receiver to obtain a coarse estimate of the TOA.…”

Section: Sample Level Methodsmentioning

confidence: 99%

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: Sample Level Methodsmentioning

confidence: 99%

Survey of WiFi positioning using time-based techniques

et al. 2015

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“…In these techniques, the time domain resolution is increased by improving the spectral efficiency of the measurement system. Other methods are based on the correlation or autocorrelation of the received IEEE 802.11 signal; for example a technique that provides better TOA estimation accuracy than traditional correlation based methods is proposed in [29]. Its main drawback is the need for specific hardware modules, making the solution impossible to implement on a standard WLAN device.…”

Section: Related Workmentioning

confidence: 98%

A robust to multi-path ranging technique over IEEE 802.11 networks

2009

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In this paper, we present a two-way TOA technique for distance estimation (i.e., ranging) over IEEE 802.11 networks. It is based on repetitively measuring the Round Trip Time (RTT) of IEEE 802.11 MAC frames and carrying out statistical processing in order to identify the multi-path condition of the channel and to improve accuracy. The study demonstrates that a multi-path condition has a negative impact on the ranging accuracy in NonDominant Direct Path (NDDP) and Undetectable Direct Path (UDP) situations. In this paper, an approach is presented to detect and overcome this impact. The proposed approach identifies the channel profile (i.e., the multi-path condition) from the statistical features of a set of RTT measurements and uses a ranging algorithm that is sensitive to multi-path. Results demonstrate the feasibility of channel profile identification in real time and a ranging accuracy of around one meter in all possible multi-path situations.

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“…To decrease the large variance of the measurement, robust linear regression techniques are used, averaging over 50 measurements. Even closer to the physical layer are methods processing the sampled baseband signal, for instance, methods based on dirty templates [14,15], where a previously received signal is used as a correlation template. Alternatively, Generalized Cross Correlation-(GCC-) based ToA estimation methods are used for WLAN as well [16].…”

Section: Related Work Rss Localization Inmentioning

confidence: 99%

Receiver Design for Time-Based Ranging with IEEE 802.11b Signals

Exel

2012

International Journal of Navigation and Observation

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This paper presents a ranging receiver architecture able to timestamp IEEE 802.11b Wireless LAN signals with sub-100 picosecond precision enabling time-based range measurements. Starting from the signal model, the performance of the proposed architecture is assessed in terms of statistical bounds when perturbed by zero-mean additive white Gaussian noise (AWGN) as well as in case of multipath propagation. Results of the proposed architecture, implemented in a Field Programmable Gate Array-(FPGA-) based prototype, are presented for different environments. For AWGN channels, the prototype system is able to attain an accuracy of 1.2 cm while the ranging accuracy degrades in dynamic multipath scenarios to about 0.6 m for 80% of the measurements due to the limited bandwidth of the signal.

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An Improved Time-of-Arrival Estimation for WLAN-Based Local Positioning

Cited by 21 publications

References 11 publications

Survey of WiFi positioning using time-based techniques

Survey of WiFi positioning using time-based techniques

A robust to multi-path ranging technique over IEEE 802.11 networks

Receiver Design for Time-Based Ranging with IEEE 802.11b Signals

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