In consideration of the sensor control problem for multi-target tracking, a sensor control strategy is proposed based on the finite set statistics(FISST) theory. Firstly, the general method of sensor control based on the information theory is given based on the random finite set(RFS) modeling. Then, the expression of Cauchy-Schwarz(CS) distance is deduced by the approximate statistical properties of multi-target probability density. The evaluation function is solved through the particle probability hypothesis density filter. Thus, the optimal control scheme of the sensor is obtained under the criterion of maximizing the information gain. Simulation results of sensor trajectory control show the effectiveness of the proposed algorithm.