An Improved Algorithm for Waveform Scheduling

Cognitive radar can adaptively modify their performance to suit a variety of environments and select the best sequence of waveforms to track the targets with higher possible accuracy. In this paper, based on the stochastic dynamic programming model of waveform scheduling, an improved algorithm for waveform scheduling is proposed. The simulation results show that the proposed algorithm can minimize the uncertainty of state estimation compared to fixed waveforms and approaches the optimal waveform scheduling scheme.