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Spectrum data, which is usually characterized by many dimensions, such as location, frequency, time and signal strength, presents formidable challenges in terms of acquisition, processing and visualization. In practice, a portion of spectrum data entries may be unavailable due to the interference during the acquisition process or the compression during the sensing process. However, the completion...
Automatic link establishment (ALE) is one of the important technologies in HF communication. One of the indicators to measure the performance of an ALE system is the linking time, which includes channel switching, spectrum sensing, and trying to call three periods. Asynchronous mode has been widely used for its simple operation. When establishing an link, the station sorts all the channels and selects...
Future Advanced Driver Assistance Systems (ADAS) require the continuous computation of detailed maps of the vehicle's environment. Due to the high demand of accuracy and the enormous amount of data to be fused and processed, common architectures used today, like single-core processors in automotive Electronic Control Units (ECUs), do not provide enough computing power. Here, emerging embedded multi-core...
Ultra Wideband Real-Time Location System (UWB RTLS) is a real-time positioning system with high precision, which contains a number of positioning tags and anchors, and the collision between multi tags is the main reason that affects the communication efficiency and positioning accuracy in UWB RTLS. The ALOHA algorithm and the binary tree algorithm are the mainstream of the anti-collision algorithm...
Point cloud data sets, or simply point clouds (PCs), originating from a common specimen but containing different measurement parameters (i.e. using different sensors, times, depths, viewpoints, etc.) usually contain both overlapping and non-overlapping points. Registration aligns these distinct PCs into one coordinate system by assigning point-by-point correspondence between PCs and applying a transformation...
Cognitive radio (CR) network technology is widely used as a approach to the solve the scarce radio spectrum by allowing the unlicensed users to access the licensed spectrum. Since in the CR network, the licensed users are easily be affected by the introduce of the unlicensed user, we have to avoid to bring the interference to the licensed users when the unlicensed users try to transmit the data on...
In this paper we present a decision process to auto-adapt and improve human-machine interaction, simplifying the integration of algorithms and functionalities. The decision process is part of an innovative approach that integrates contextual information to orchestrate behaviours of an interactive system (i.e. perception and actuation features involved during interaction). Classical approaches focus...
This paper describes the development of a computer vision-based real time displacement measurement system and demonstrated its performance on a large-scale wood truss bridge model. Digital images were captured with a consumer grade video camera. Three common types of computer vision algorithms are compared, including the Lucas-Kanade (LK) template tracking algorithm, inverse compositional (IC) algorithm...
One of the main challenges of designing Surface Plasmon Resonance — SPR — sensors is to maximize their sensitivity. In this paper two heuristic algorithms are investigated — Monte Carlo and Particle Swarm — for optimization of the sensitivity of SPR sensors in both the Kretschmann and the Otto configurations without the aid of a lorentzian approximation. Due to the random nature of the heuristic algorithms,...
Traditional methods of source enumeration are derived assuming a white noise background and large amounts of data to estimate a sample covariance matrix. Recently source enumeration methods based on random matrix theory (RMT) have shown better performance than traditional methods when the data sets are small. In the presence of colored noise, a common approach is to whiten the data prior to applying...
In order to obtain better performance at low SNR regimes and reduce computational complexity in wideband sensing, a novel cyclostationary spectrum sensing (CSS) algorithm exploiting partial QR decomposition is proposed in this paper. At the first step of the CSS algorithm, spectral correlation functions (SCFs) for sampled signals that exhibit cyclostationary are calculated by secondary user (SU) to...
Cognitive radio is a promising technology that aims to enhance the utilization of the radio spectrum. This is achieved by providing opportunistic access to the unlicensed users or the secondary users. In this paper, quality of service (QoS) in cognitive radio networks is investigated for a heterogeneous network model. A modified cognitive radio spectrum sharing algorithm based on the Hungarian algorithm...
In this paper, a sequential channel sensing algorithm for multichannel heterogeneous Cognitive Radio Networks (CRNs) is studied. More specifically, a new transmission algorithm is introduced and its performance is evaluated via simulations. In the proposed algorithm, referred to as “Distributed algorithm”, we assume that the secondary users select their transmission channels without coordination by...
A fault-tolerant cooperative control (FTCC) strategy for cooperative unmanned aerial vehicles (UAVs) used in forest monitoring, fire detection and tracking is investigated in this paper. The proposed algorithm solves the problem of monitoring and detection of forest fires, even when fault occurs to one or more UAVs. During the search stage, the UAVs team moves in a certain formation shape, a distributed...
Localization services within Ambient Assisted Living systems often require expensive phases of environment setup and devices calibration/configuration. This research aims to propose innovative methodologies and tools able to keep such phases as simple as possible, looking for low complexity as well as low cost approaches. Localization and tracking techniques that exploit Wireless Sensor Network (WSN)...
Prediction of availability of physical services can be a valuable addition to transportation systems operation. In this paper we are focusing on estimation of public transport occupancy (PTO), or more specifically, on estimating bus passenger load, i.e., the number of people on the bus. This information can be used by bus operators as input to the analysis of bus routes' efficiency, or to provide...
As traditional spectrum sensing approaches unable to deal with the contradiction between detection accuracy and complexity in cognitive radio network, a novel q-weighed sequential cooperative energy detection method for spectrum sensing in time varying channel is proposed in this paper to achieve better performance with lower complexity. By adding the q- weighted log likelihood ratio (LLR) of the...
In this paper we study the use of diversity for performance improvement in wideband spectrum sensing under fading. A new detection algorithm, namely, ranked square law selection (R-SLS) is proposed. The performance of the proposed algorithm is carried out under Nakagami fading. The analysis shows that the proposed algorithm outperforms ranked channel detection (RCD) algorithm without diversity. Analytical...
Unmanned aerial vehicles (UAVs) can be used to provide wireless network and remote surveillance coverage for disaster-affected areas. During such a situation, the UAVs need to return periodically to a charging station for recharging, due to their limited battery capacity. We study the problem of minimizing the number of UAVs required for a continuous coverage of a given area, given the recharging...
In this paper consensus based algorithms for distributed target tracking in large scale camera networks are discussed and a new adaptive algorithm is proposed. Camera networks are typically characterized by sparse communication and coverage topologies, as well as by the presence of multiple targets and clutter. The proposed algorithm (IPDA-ACF) is a result of the introduction of the probabilities...
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