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This paper deals with the problem of estimating the state of a discrete-time stochastic linear system based on data collected from multiple sensors with limited communication resources. For the cases of transmitting measurements and local state estimates, respectively, we design data-driven communication schemes based on a normalized innovation vector and corresponding fusion rules in the (approximate)...
This paper addresses the shrinkage estimation problem of high-dimensional covariance matrices with low sample size data. A class of structured target matrices that include banding, thresholding, diagonal and block diagonal matrices is proposed, and an optimal oracle shrinkage coefficient is derived. To approximate the oracle estimator, an iterative method is presented and proved to be convergent....
Performance evaluation and ranking based on multiple performance metrics are required in many fields. These metrics have commonality since they evaluate the same thing despite in different aspects. If the performance is deemed good in all metrics, the overall performance is indeed good. In view of this, making full use of this commonality should be good for ranking and evaluation. Voting theory deals...
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...
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...
Retrieving forest parameters, such as forest height, biomass from polarimetric and interferometric SAR (Pol-InSAR) images has been investigated and well demonstrated via airborne experiments for different types of forest. Terrain slope is a factor that always prevents the wide application of SAR technique due to its slant-looking imaging geometry. It induces changes of backscattering intensity, polarimetric...
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