Positioning Accuracy Enhancement Using Error Modeling via a Polynomial Approximation Approach

Mitilineos, Stelios Α.; Thomopoulos, Stelios C. A.

doi:10.2528/pier10010102

Cited by 17 publications

(15 citation statements)

References 15 publications

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“…As a result, right positioning measure is important for the proposed method. Some advanced positioning methods [24][25][26] may enhance positioning accuracy and thus reduce the reconstruction error.…”

Section: Impact Of Positioning Errormentioning

confidence: 99%

Optimized Local Superposition in Wireless Sensor Networks With T-Average-Mutual-Coherence

Guo¹,

Qu²,

Huang³

et al. 2012

PIER

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Abstract-Compressed sensing (CS) is a new technology for recovering sparse data from undersampled measurements. It shows great potential to reduce energy for sensor networks. First, a basic global superposition model is proposed to obtain the measurements of sensor data, where a sampling matrix is modeled as the channel impulse response (CIR) matrix while the sparsifying matrix is expressed as the distributed wavelet transform (DWT). However, both the sampling and sparsifying matrixes depend on the location of sensors, so this model is highly coherent. This violates the assumption of CS and easily produces high data recovery error. In this paper, in order to reduce the coherence, we propose to control the transmit power of some nodes with the help of t-average-mutual-coherence, and recovery quality are greatly improved. Finally, to make the approach more realistic and energy-efficient, the CIR superposition is restricted in local clusters. Two key parameters, the radius of power control region and the radius of local clusters, are optimized based on the coherence and resource consideration in sensor networks. Simulation results demonstrate that the proposed scheme provides a high recovery quality for networked data and verify that t-average-mutual-coherence is a good criterion for optimizing the performance of CS in our scenario.

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Section: Impact Of Positioning Errormentioning

confidence: 99%

Optimized Local Superposition in Wireless Sensor Networks With T-Average-Mutual-Coherence

Guo¹,

Qu²,

Huang³

et al. 2012

PIER

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“…In order to overcome this drawback, other techniques consider the strength of the received signals [9] and use triangulation methods in order to determine the position of the transmitters. Although these methods present a good accuracy, a great effort has been carried out for developing numerical techniques to improve it [8,10]. From the hardware point of view, the target positioning accuracy can be enhanced if information about both magnitude and phase of several transmitted signals is available in the receivers [11].…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Multi-Carrier Tx-Rx System Based on Rationally Synchronized Oscillators for Localization Applications

Fernández

Hoeye²,

Vázquez³

et al. 2011

PIER

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Abstract-In this work, a novel multi-carrier Tx-Rx system based on rationally synchronized oscillators to be used in RF-source localization applications is presented. The Tx subsystem is composed by two rationally synchronized oscillators, with different operation frequency, which share the reference signal. This signal is transmitted together with the one generated by the oscillators. In the Rx subsystem, the reference signal is provided by an oscillator which is synchronized with the received reference signal. According to the simulation results, with the proposed approach, the determination of the relative phase variation suffered by the transmitted signals, due to the propagation channel, can be achieved with an error less than 0.6 • . It is also shown that the dynamic response of the system can be optimized by properly selecting the operation point of all oscillators.

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“…The research area can be divided into active and passive localization. While the active localization technique [1,2] that equips the target with a wireless device such as a smartphone or a RFID tag has been widely studied, the passive localization technique, which could realize device-free localization, is still an emerging and challenging technique. In recent years, the low-cost DFPL which only utilizes RSS measurements of wireless links has become an attractive technology and shown enormous promise in applications ranging from intrusion detection to elder care [3,4].…”

Section: Introductionmentioning

confidence: 99%

Device-Free Electromagnetic Passive Localization With Frequency Diversity

Ke¹,

Yuan

Zhang³

et al. 2016

PIER M

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Abstract-As an emerging wireless localization technique, the electromagnetic passive localization without the need of carrying any device, named device-free passive localization (DFPL) technique has drawn considerable research attention. The DFPL technique detects shadowed links in the monitored area and realizes localization with the received signal strength (RSS) measurements of these links. However, the current RSS-based DFPL techniques have two major challenges: one is that the RSS signal is particularly sensitive to noise, and the other is that it needs a sufficient number of nodes to provide enough RSS measurements of wireless links to guarantee good performance. To overcome these problems, in this paper we take advantage of compressive sensing (CS) theory to handle the spatial sparsity of the DFPL problem for reducing the number of nodes required by DFPL systems and exploit the frequency diversity technique to deal with the problem of the RSS sensitivity. Meanwhile, inspired by the fact that the target's movement is continuous and that the target's current location must be around the last location, we add prior information on the support region into the sparse reconstruction process for enhancing sparse reconstruction performance. The effectiveness and robustness of the proposed scheme are demonstrated by experimental results where the proposed algorithm yields substantial improvement for localization performance.

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Positioning Accuracy Enhancement Using Error Modeling via a Polynomial Approximation Approach

Cited by 17 publications

References 15 publications

Optimized Local Superposition in Wireless Sensor Networks With T-Average-Mutual-Coherence

Optimized Local Superposition in Wireless Sensor Networks With T-Average-Mutual-Coherence

Design and Analysis of a Multi-Carrier Tx-Rx System Based on Rationally Synchronized Oscillators for Localization Applications

Device-Free Electromagnetic Passive Localization With Frequency Diversity

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