A new positioning technique for RSS-Based localization based on a weighted least squares estimator

Tarrío, Paula; Bernardos, Ana M.; Besada, Juan A.; Casar, José R.

doi:10.1109/iswcs.2008.4726133

Cited by 50 publications

(48 citation statements)

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“…RSS localisation (Tarrio et al, 2008;2011) is adapted here using the Carrier-to-Noise density power ratio (C/N 0 ) values estimated by a GNSS receiver processing pseudolite signals. The user position is then determined using a modified Weighted Mean Square Error (WMSE) criterion.…”

mentioning

confidence: 99%

Asynchronous Pseudolite Navigation Using C/N₀Measurements

2015

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The problem of indoor navigation is investigated using a Commercial Off-the-Shelf (COTS) pseudolite system. The system is operated in synchronous and asynchronous mode. It is shown that, when the system is operated in synchronous mode, it is unsuitable for deep indoor operations: in complex propagation environments, the synchronisation required for metre level navigation is difficult to achieve and different solutions have to be adopted. Two asynchronous approaches are thus considered and indoor navigation with metre level accuracy is demonstrated using C/N 0 measurements. The approaches use a modified Receiver Signal Strength (RSS) navigation algorithm and a weighted centroid technique, respectively. In both cases, a pre-filtering stage has been adopted to enhance the quality of C/N 0 measurements. The two methods have been compared under different operating conditions and the advantages and drawbacks of the two techniques have been analysed. The experiments demonstrate that metre level accuracy can be achieved using asynchronous pseudolites. These results are particularly encouraging since they were obtained without exploiting map constraints and prior knowledge of the user position. K E Y WO R D S1. Asynchronous signals.2. Pseudolite. 3.

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confidence: 99%

Asynchronous Pseudolite Navigation Using C/N₀Measurements

2015

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“…Second, experimental results show that the lognormal fading model fails when signal power is small [9], in part because the model fails to account for background noise. To remedy this, we added -90 dBm Gaussian noise [10].…”

Section: Channel Assumptionsmentioning

confidence: 99%

Design and simulation of sensor networks for tracking Wifi users in outdoor urban environments

et al. 2017

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We present a proof-of-concept investigation into the use of sensor networks for tracking of WiFi users in outdoor urban environments. Sensors are fixed, and are capable of measuring signal power from users' WiFi devices. We derive a maximum likelihood estimate for user location based on instantaneous sensor power measurements. The algorithm takes into account the effects of power control, and is self-calibrating in that the signal power model used by the location algorithm is adjusted and improved as part of the operation of the network.Simulation results to verify the system's performance are presented. The simulation scenario is based on a 1.5 km 2 area of lower Manhattan, The self-calibration mechanism was verified for initial rms (root mean square) errors of up to 12 dB in the channel power estimates: rms errors were reduced by over 60% in 300 track-hours, in systems with limited power control. Under typical operating conditions with (without) power control, location rms errors are about 8.5 (5) meters with 90% accuracy within 9 (13) meters, for both pedestrian and vehicular users. The distance error distributions for smaller distances (<30 m) are well-approximated by an exponential distribution, while the distributions for large distance errors have fat tails.The issue of optimal sensor placement in the sensor network is also addressed. We specify a linear programming algorithm for determining sensor placement for networks with reduced number of sensors. In our test case, the algorithm produces a network with 18.5% fewer sensors with comparable accuracy estimation performance.Finally, we discuss future research directions for improving the accuracy and capabilities of sensor network systems in urban environments.

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“…However, this linear problem could also be solved using weighted least squares estimator, as proposed in [34]. In this case, the position of the mobile node may be estimated as…”

Section: Weighted Hyperbolic Positioning Algorithmmentioning

confidence: 99%

Performance Evaluation of Localization Algorithms for WSNs

Vargas-Rosales

Mass-Sanchez

Ruiz-Ibarra

et al. 2015

International Journal of Distributed Sensor Networks

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In recent years, the use of wireless sensor networks has been increasing. Localization is a fundamental problem in wireless sensor networks (WSNs), since location information is essential for diverse applications such as tracking, quality network coverage, health, and energy efficiency. In this paper performance of localization algorithms such as range-free, range-based, and fuzzybased decision is evaluated. We introduce a modification of an algorithm by providing weights to the correlation matrix to improve correctness. In all the cases the accuracy, precision, and computational complexity are evaluated as performance metrics. Location algorithms are evaluated using two scenarios, a first stage where all nodes are randomly distributed in a given area and a second scenario where four APs (access points) are placed on fixed positions and unknown nodes are randomly distributed within the sensing area. The received signal strength (RSS) is used to estimate the position of a node of interest. In the simulation results we show how our modified algorithm improves localization. On the other hand, we also have acceptable accuracy using distance-based algorithms, but they are more complex computationally.

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A new positioning technique for RSS-Based localization based on a weighted least squares estimator

Cited by 50 publications

References 10 publications

Asynchronous Pseudolite Navigation Using C/N₀Measurements

Asynchronous Pseudolite Navigation Using C/N₀Measurements

Design and simulation of sensor networks for tracking Wifi users in outdoor urban environments

Performance Evaluation of Localization Algorithms for WSNs

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A new positioning technique for RSS-Based localization based on a weighted least squares estimator

Cited by 50 publications

References 10 publications

Asynchronous Pseudolite Navigation Using C/N0Measurements

Asynchronous Pseudolite Navigation Using C/N0Measurements

Design and simulation of sensor networks for tracking Wifi users in outdoor urban environments

Performance Evaluation of Localization Algorithms for WSNs

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Product

Resources

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Asynchronous Pseudolite Navigation Using C/N₀Measurements

Asynchronous Pseudolite Navigation Using C/N₀Measurements