A sensor management algorithm is presented based on Renyi entropy for Gaussian nonlinear multitarget tracking system.Firstthe target tracking accuracy requirement was analyzed based on the prediction error and the filtering error calculated by using UKF.Thenthe approximate estimation of probability density function was implemented by using Renyi entropy together with Parzen window functionand the target information gain was obtained.The target priorityi.e.the threats degreewas introducedand the efficiency function was obtained.Finallythe efficiency function was used to distribute the sensors.The simulation results show that:1) the use of Renyi entropy can represent the high order characteristics of nonlinear system;and 2) Combined with Parzen window functionit can not only maintain accuracy but also reduce the calculation costand can measure the uncertainty of the information in the tracking wellreduce the tracking errorand optimize the tracking performance of the system.