A new design approach for Kalman filter system based on model to hardware

Kalman filter is widely applied in engineering as its realtime recursive theory. Traditional design flow to implement the filter has problems of repetive description and hidden mistakes, because system is programmed again after the simulation and verification in Matlab environment. The paper proposes a novel approach to realize Kalman filtered system, in which designs system from Matlab model directly to FPGA hardware. That is, model and simulate the filter system in Matlab, and generate hardware description code after the verification without need of hardware program manually. This approach has the advantages in the flexibility of the FPGA, and in the efficiency of the system implement, moreover in the consistency between results and simulation. The approach is suitable for any algorithm and models which can be described in Matlab, and will be applied widely.