We address the problem of range-based marine vehicle positioning in the presence of unknown but constant ocean currents. The goal is to estimate the position of one or more vehicles from a sequence of range measuremen...
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Indoor user localization and tracking are instrumental to a broad range of services and applications in the Internet of Things (IoT) and particularly in Body Sensor Networks (BSN) and Ambient Assisted Living (AAL) sce...
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Indoor user localization and tracking are instrumental to a broad range of services and applications in the Internet of Things (IoT) and particularly in Body Sensor Networks (BSN) and Ambient Assisted Living (AAL) scenarios. Due to the widespread availability of IEEE 802.11, many localization platforms have been proposed, based on the Wi-Fi Received Signal Strength (RSS) indicator, using algorithms such as K-Nearest Neighbour (KNN), Maximum A Posteriori (MAP) and Minimum Mean Square Error (MMSE). In this paper, we introduce a hybrid method that combines the simplicity (and low cost) of Bluetooth Low Energy (BLE) and the popular 802.11 infrastructure, to improve the accuracy of indoor localization platforms. Building on KNN, we propose a new positioning algorithm (dubbed i-KNN) which is able to filter the initial fingerprint dataset (i. e., the radiomap), after considering the proximity of RSS fingerprints with respect to the BLE devices. In this way, i-KNN provides an optimised small subset of possible user locations, based on which it finally estimates the user position. The proposed methodology achieves fast positioning estimation due to the utilization of a fragment of the initial fingerprint dataset, while at the same time improves positioning accuracy by minimizing any calculation errors.
The direct position determination (DPD) approach is a single-step method, which uses the maximum likelihood estimator to localize sources emitting electromagnetic energy using combined data from all available sensors....
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The direct position determination (DPD) approach is a single-step method, which uses the maximum likelihood estimator to localize sources emitting electromagnetic energy using combined data from all available sensors. The DPD is known to outperform the traditional two-step methods under low signal-to-noise ratio conditions. We propose an improvement to the DPD approach, using the well-known minimum-variance-distortionless-response (MVDR) approach. Unlike maximum likelihood, the number of sources needs not be known before applying the method. The combination of both the direct approach and MVDR yields unprecedented localization accuracy and resolution for weak sources. We demonstrate this approach on the problem of multistatic radar, but the method can easily be extended to general localization problems.
During last three decades, the antenna control systems have been extensively developed, studied and applied in several satellite communication systems. While tracking the signal source, these systems play an important...
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During last three decades, the antenna control systems have been extensively developed, studied and applied in several satellite communication systems. While tracking the signal source, these systems play an important role in the alignment of antenna coordinates at receiving end. It is always needed to receive strongest, best quality and environmental effect free signal, transmitted by the transmitter. The speed, accuracy, power;cost and size are the important parameters of antenna control system. The number of control systems implement standard algorithms PI, PD, PID, PIDA, fuzzy, self-tuned fuzzy, LQG, Hos, genetic, neural network and their combinations. Many researchers developed manual, differential, monopulse, electronic, auto-tracking, left-right, conical and step tracking methods to track signal source. In this paper the developments and applications of the antenna control systems are reviewed. The system performances of the implemented standard algorithms and tracking methods in antenna control system are discussed. The simulated and experimental results show that the advancements in algorithms have reduced major issues and increased performance of the systems. The performance is also improved with the combinations of tracking methods and/or algorithms. (C) 2016 International Federation of Automatic Control. Published by Elsevier Ltd. All rights reserved.
The paper presents acoustic navigation aiding and path following results from demonstration experiments in Lisbon, Portugal. The demonstration was carried out as part of the second year CADDY Review Meeting. The paper...
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The user location information represents a core dimension as understanding user context is a prerequisite for providing human-centered services that generally improve quality of life. In comparison with outdoor enviro...
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ISBN:
(纸本)9781479946778
The user location information represents a core dimension as understanding user context is a prerequisite for providing human-centered services that generally improve quality of life. In comparison with outdoor environments, sensing location information in indoor environments requires a higher precision and is a more challenging task due in part to the expected various objects (such as walls and people) that reflect and disperse signals. In this paper, we survey the related work in the field of indoor positioning by providing a comparative analysis of the state-of-the-art technologies, techniques, and algorithms. Unlike previous studies and surveys, our survey present new taxonomies, review some major recent advances, and argue on the area open problems and future potential. We believe this paper would spur further exploration by the research community of this challenging problem space.
The ability to determine in real-time the geographic location of client nodes is an important tool in wireless networks, allowing instantaneous mobile tracking, implementation of location-aware services and also effic...
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The ability to determine in real-time the geographic location of client nodes is an important tool in wireless networks, allowing instantaneous mobile tracking, implementation of location-aware services and also efficient channel and power allocation planning. Among existing classical cooperative localization techniques for wireless networks, the maximum likelihood estimator (MLE) is theoretically the best. However, the gradient-based algorithms that are commonly used for maximum likelihood estimation are quite sensitive to the initial values and cannot achieve the theoretical optimal performance. In this paper, we propose a new iterative positioning algorithm based on received signal strength information that employs a location ordering strategy and a numerical nonlinear optimization method. The algorithm performance is evaluated through simulation for different network scenarios. A real wireless network scenario is also implemented in order to demonstrate the algorithm effectiveness. The proposed algorithm, while presenting a simplified implementation, can achieve better positioning estimates than the classical MLE approach based on the conjugated gradient.
Coal mine industry, which produces the most abundant and widely-distributed fossil fuel, is the deadliest in casualties. A recent report shows that the casualty rates of coal production per million tones are 4.36 in C...
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Wireless Local Area Network (WLAN) has been an emerging technology in residential and enterprise market by providin- hi-h data rates at low cost. Future trends in WLAN industry are targeted towards new applications wi...
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ISBN:
(纸本)0780389662
Wireless Local Area Network (WLAN) has been an emerging technology in residential and enterprise market by providin- hi-h data rates at low cost. Future trends in WLAN industry are targeted towards new applications with higher data rates, L-h wider coverage, and increased QoS requirements. User tracking system based on WLAN infrastructure is a new service that helps network operators in monitoring different aspects of their networks in addition to providing location aware services to their customers. In this paper, we provide an overview of the traditional location sensing algorithms and compare their performance with the new Distance Variance (DV) algorithm. These algorithms the existing IEEE 802.11 infrastructure to locate a terminal. The newly introduced DV algorithm uses indoor radio propagation models to reduce the complexity of calibration process, used in conventional algorithms. The performances of die existing and new algorithm are compared using Monte Carlo simulations based on IEEE 802.11 channel models.
Localization of mobile terminals has received considerable attention in wireless communications. In this letter, we present a covariance shaping least squares (CSLS) estimator using time-of-arrival measurements of the...
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Localization of mobile terminals has received considerable attention in wireless communications. In this letter, we present a covariance shaping least squares (CSLS) estimator using time-of-arrival measurements of the signal from the mobile station received at three or more base stations. It is shown that the CSLS estimator yields better performance than the other LS estimators at low signal-to-noise ratio conditions.
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