3 accepted papers
Sensor mobility and sparse sensor data correlations are exploited in this work for the problem of tracking multiple targets. Sparse matrix decomposition is integrated with the design of proper kinematic rules to identify informative sensors, associate them with the targets and enable them to follow…
Particle filtering is combined with sparse matrix decomposition techniques to address the problem of tracking multiple targets using nonlinear sensor observations measuring signal strength. The unknown number of targets may be time-varying, while sensors are spatially scattered. Norm-one regularized…
The task of determining informative sensors and clustering the sensor measurements according to their information content is considered. To this end, the standard canonical correlation analysis (CCA) framework is equipped with norm-one and norm-two regularization terms to estimate the unknown number…