| Popis: |
In this paper, a novel adaptive waveform selection method is proposed for radar target tracking. In order to minimize the target state estimation MSE (Mean Square Error) on each tracking step, we adjust the PRI (Pulse Recurrence Interval) and pulse width of the emission signal with the constraint of average power. In this method, the position measurement CRLB (Cramer-Rao Lower Bound) is used to define the observation noise power, and then the relationship between the tracking performance and the waveform parameters is established to decide the optimal PRI. Simulations show that this method can improve the tracking accuracy effectively and dynamically. |
