A Bernoulli Filter for Extended Target Tracking Using Random Matrices in a UWB Sensor Network PROJECT TITLE :A Bernoulli Filter for Extended Target Tracking Using Random Matrices in a UWB Sensor NetworkABSTRACT:During this paper, we have a tendency to propose a replacement tractable Bernoulli filter based on the random matrix framework to track an extended target in an ultra-wideband (UWB) sensor network. The ensuing filter jointly tracks the kinematic and form parameters of the target and is termed the extended target Gaussian inverse Wishart Bernoulli (ET-GIW-Ber) filter. Closed kind expressions for the ET-GIW-Ber filter recursions are presented. A clustering step is inserted into the measurement update stage in order to possess a computationally tractable filter. Still, a replacement technique that's per the applied clustering technique is embedded into the filter recursions so as to adaptively estimate the time-varying number of measurements of the extended target. The simulation results demonstrate the strong and effective performance of the proposed filter. Furthermore, real information collected from a UWB sensor network are used to assess the performance of the proposed filter. It is shown that the proposed filter yields a terribly promising performance in estimation of the kinematic and form parameters of the target. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Solution to short-term frequency response of wind farms by using energy storage systems