For the problem of state estimation for nonlinear systems with state equality constraints, the method that combines ensemble Kalman filter with estimate projection approaches is presented. We derive two new state estimation algorithms with constraints, by using estimate projection method for each particle of state estimation and state estimation vector after calculating weighted average respectively. The simulation shows that the new algorithms perform better in terms of estimation accuracy, comparing to particle filter and unconstrained ensemble Kalman filter.
