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In this paper, a new multiple extended target tracking learning algorithm based on labelled random finite sets (L-RFS) framework is proposed to estimate the number, shape and state of extended targets under clutter conditions. The algorithm mainly includes two aspects: multi-extended target dynamic modeling and multi-extended target tracking estimates. Firstly, a finite mixture model (FMM) of extended...
This paper presents a solution to the problem of tracking multiple targets from multistatic Doppler measurements. To the best of our knowledge our solution is the first principled multitarget tracker for multistatic Doppler radar. The tracker is based on a closed form solution to the labeled multitarget Bayes filter, which can be implemented with linear complexity in the number of measurements. Numerical...
Nonlinear motion model of HEV electronic throttle is built. Aiming at the problem that is difficult to set the nonlinear control system optimum parameters for the traditional PID control, and based on the advantages of the fast convergence and strong universal approximation ability of the neural network, the method neural network setting PID control electronic throttle based on the Radial Basis Function...
Recently, a two-tier hierarchical wireless sensor network (WSN) was proposed to address the problem of multi-target tracking (MTT). The WSN estimated the multi-target states well, but kept no record of target identities. In this paper, the performance of the WSN is improved by activating certain sensors instead of all the sensors in the first level of the hierarchy at each time step. Furthermore,...
For automatic clutch control system, precise and quick position tracking is difficult on account of its nonlinear character. A new clutch actuating mechanism with a whirl spring was devised for torque compensation to reduce the load of DC actuator and improve the dynamic performance of clutch control system firstly, and then a neuron adaptive PID controller with feedforward and adjustable gain was...
In this paper, a two-tier hierarchical architecture is proposed to address the multi-target tracking problem using a particle probability hypothesis density filtering algorithm. According to a proposed cluster scheduling method, the base station selects active clusters at each time step and determines their order for the sequential data fusion in the second level of hierarchy. Within each active cluster,...
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