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In a Y-shaped passive linear array sonar (PLAS) system, three sensor legs are configured and report bearings-only measurements, which are complicated due to bearing-ambiguity. As many ghost targets exist, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. In this paper, a distributed method is proposed to track...
The multiple hypothesis tracker (MHT) has historically been considered a gold standard for multi-target tracking. In this paper we show that the key formula for hypothesis probabilities in Reid's MHT can be derived from the modern theory of finite set statistics (FISST) insofar as appropriate assumptions (Poisson models for clutter and undetected targets, no target-death, linear-Gaussian Markov target...
The paper deals with the state estimation of nonlinear stochastic dynamic systems. The stress is laid on the assessment of the estimate error, which is caused by the violation of the estimator design assumptions. The assessment is based on measures comparing estimators actual working conditions and the assumptions under which the estimators have been proposed. In particular, the measures of nonlinearity...
In this paper we consider the problem of cooperative control of a swarm of autonomous heterogeneous mobile agents that are required to intercept a group of moving targets while avoiding contacts with dynamic obstacles. Traditionally these type of problems are solved by decomposing the solution into several sub problems: targets assignments, coordinated interception control, motion planning and motion...
In this paper, a shape control strategy is proposed for the stochastic distributed systems with time-delay. This strategy can effectively achieve the output of the system tracking a given target distribution. The square root rational B-spline(SR-RBS) expansion technique is used to approximate the output probability density function(PDF), thus the original stochastic system can be transformed into...
The distributed detection fusion is investigated for conditionally dependent sensor networks with channel errors. When the joint probability density functions of the sensor observations are dependent and high dimensional, it is known to be a challenging problem. This paper deals with this problem under Monte Carlo framework. The Bayesian cost function is approximated by Monte Carlo importance sampling...
Different estimators have different optimization criteria according to the concrete application considered. Most existing metrics on estimation performance are some averages of estimation errors, which usually give “big” or “small” results to show the “bad” or “good” performance of the evaluated estimators. However, these metrics are only appropriate for measuring minimum mean-square error (MMSE),...
Fault estimation with performance analysis is investigated in the least squares sense for a class of time-varying systems with event-triggered measurement transmission and biased process noise covariances. In most other work, process noise covariance is assumed as either completely known. In this paper, we relax the assumption of knowing the exact process noise covariance and apply an event-triggered...
Automated ECG signal processing can assist in diagnosing several heart diseases. Many R peak detection methods have been studied because the accuracy of R peak detection significantly affects the quality of subsequent ECG feature extraction. Two important steps in R peak detection algorithm that draw attention over researchers are the preprocessing and thresholding stages. Among several methods, wavelet...
With the emergence of flex-grid Wavelength Division Multiplexing (WDM) together with reconfigurable optical add/drop multiplexers and bandwidth-variable tunable transponders, a changeover from quasi-static to highly dynamic optical networks is expected. To perform resource allocation in such networks, signalling protocols that are able to rapidly set up optical connections are needed. In this paper,...
Data offloading efficiency in a cellular/light fidelity network is investigated. This offloading efficiency is a measure of the ratio of traffic carried by light fidelity (LiFi) network to total traffic carried by both LiFi and cellular networks. The effect of LiFi-signal blocking and channel characteristics are considered. Different LiFi offloading timing cases are discussed. Simulation is performed...
The paper introduces a novel approach to an estimator design, the cooperative filter design, for state estimation of nonlinear systems. The approach is based on the idea of combining estimates of several different approximate (and thus sub-optimal) nonlinear filters, which are configured to perform the same task. Within the concept, two strategies are proposed, namely the cooperative estimation and...
This paper investigates the passive localization of a mobile source based on time difference of arrival (TDOA) measurements when the sensor positions suffer from random uncertainties. In the formulation of the dynamic system, the nonlinear measurement function contains random parameters, so the classical high-degree cubature Kalman filtering (CKF) method is unrealizable. We develop an augmented high-degree...
Different belief sources often provide conflicting evidence, due to e.g. varying source reliability or deliberate deception. Source trust expresses the source reliability as seen by the analyst. In case of conflicting sources the analyst needs a strategy for managing and revising source trust. Intuitively, trust should be reduced for sources that produce advice which is in conflict with the ground...
In this paper, we analyze a narrowband power line communication (PLC) system under the influence of additive background and impulsive noises. The background noise is modeled as the Gaussian noise, whereas, the impulsive noise is characterized by the Laplace distribution, in order to satisfy the heavy tail requirement of the impulsive noise density function. Moreover, we model the occurrence of impulsive...
In this study we propose an automatic algorithm that aims to map built-up areas by using two multi-temporal SAR features: the backscattering intensity and the InSAR coherence. The proposed algorithm is based on an adaptive parametric thresholding methodology and makes use of a hierarchical split-based approach. With this approach, the size of the tiles is not set a priori but, rather, tiles of variable...
In this paper, we investigate the secrecy performance of single-input single-output (SISO) system over fading, such that the main channel and the eavesdropper channel are subject to Rician/Nakagami-$m$ fading or Nakagami-$m$/Rician fading, and derive the analytical expressions of the probability of the existence of the non-zero secrecy capacity and the outage probability of secrecy capacity. Although...
The probabilistic model of the random variation in drain current of the nanometer multiple input floating-gate MOSFET (MIFGMOSFET) has been proposed in this research. The modeling process has taken the major physical level causes of random variations e.g. random dopant fluctuation and line edge roughness etc., into account. The proposed model have been found to be very accurate since it can fit the...
Concentration of electric vehicles (EV) in an urban area can cause distribution transformer overloading because of their charging behaviors and the resulting power demand. This paper assesses the impact of EV home charging on transformer overloading considering two critical factors, which are penetration level and driving performance. Test scenarios are confined by a low-voltage distribution system...
Fibre lasers are known to provide a rich tapestry of operational regimes, which can be attributed to the nonlinear nature of light dynamics in optical fibre at high powers, and the multidimensional system parameter space. Given their inherent complexity, identifying and discerning the underlying physical processes that gives rise to them still remains a formidable challenge. Here, for the first time...
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