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This paper proposes a solution for the problem of determination, separation, and tracking of an unknown time-varying number of maneuvering sources based on a mixture of signals received by some omnidirectional sensors located at different places. To our knowledge, this problem has not been addressed in its full range: what has been addressed is limited to some simplified versions (e.g., with a fixed...
Joint tracking and classification (JTC) is rapidly gaining momentum recently. Algorithms have been proposed for this problem. However, performance of tracking and classification has been evaluated separately without considering their interdependence. In this paper, we propose a joint measure, named joint probability score (JPS), to account for tracking error, misclassification and their interdependence...
In joint tracking and classification (JTC) problems, both decision and estimation are involved and they affect each other. Good solutions for JTC require solving the two problems jointly. A joint decision and estimation (JDE) framework based on a generalized Bayes risk was recently proposed for solving the problem of inter-dependent decision and estimation. In the JDE framework, a conditional JDE...
This paper addresses multitarget tracking (MTT) in clutter, including jointly detecting targets and estimating their states. Good solutions for MTT require solving the two problems jointly. A joint decision and estimation (JDE) framework based on a generalized Bayes risk was recently proposed for solving problems involving inter-dependent decision and estimation. In the JDE framework, a conditional...
Around 2020, China is going to build its own space station and to carry out space science research of larger scale. Chinese Space Station (CSS) will operate in orbit for about ten years. This period will provide much more opportunities to scientists in China after the international space station. The space manipulators as cost-effective, energy-efficient tools supporting humans on extended space missions...
In this paper,a noninvasive method for Knee Osteoarthritis (KOA) detection and diagnosis is proposed using data from surface electromyogr- am (sEMG) signals with the purpose of accessing the state of KOA in the early stage. In our experiment, sEMG are collected from rectus femoris, vastus medialis, biceps femoris, semitendi- nosus muscle of control group and KOA group respectively when they are in...
This paper considers a probabilistic approach to state estimation for discrete-time dynamic systems with unknown inputs. A variational Bayes method is proposed to approximate the marginal posterior distributions of system state and input. In order to reduce the computational complexity, the complete-data likelihoods of system from the exponential family are considered, and the conjugate prior distributions...
Joint decision and estimation (JDE) is for solving problems involving inter-dependent decision and estimation and was proposed recently based on a generalized Bayes risk. The currently available JDE algorithm processes data in a batch manner. This batch method is computationally inefficient or infeasible for many dynamic JDE problems where measurements are made available sequentially. Therefore, this...
This paper presents a geometric-view-based evaluation for the generalized Marcum Q-function Q_m(a,b), which is interpreted as the probability that a random Gaussian point whose mean vector has an Euclidean norm a≥, lies outside of an N-dimensional sphere/hypersphere of radius b≥0, centered on the origin point O, where N=2m≥3. By using the geometric symmetry of the sphere/hypersphere...
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