To the problem of random measurement loss in nonlinear systems, the Extend Kalman Filter (EKF) with random measurement loss and with relevance noise is studied.By using correlation coefficient and the transmission factor following Bernouli distribution, an EKF with random measurement loss is proposed for nonlinear systems with relevance noise.Finally, the algorithm is applied in tracking space non-collaborate objects, and its validity is proved.